Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins

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What can neutrons do for your science?

Previously used by engineers, the technique has received new attention in both physics and biology in the last two decades. The purpose of this Focus Session is to bring users of photoelastic materials together, to inspire collaboration and to share techniques. In biology, photoelastic gels have been used to visualize the ground forces applied my cockroaches, worms, and snakes.

In granular physics, photoelastic disks have been used to characterize the dynamics of force chains. In the plant sciences, these can be applied to visualizing root growth. In the fracture mechanics, the photoelastic response reveals the directions of maximum stress. We welcome contributions on both exploratory and established projects, to report either on scientific findings or the implementation of new methods. Organizers: David Hu dhu8 gatech. In many situations, the macroscopic properties crucially depend on the physical processes localized near a line contact line, fracture, triple line, etc The adhesion of linear elastic solids and the wetting of Newtonian fluids on homogeneous hard substrates are two ideal cases that have been studied intensively, yielding models bridging macroscopic linear behavior with contact line dynamics.

Yet, beyond these idealized cases, many open questions arise concerning the local dissipative processes operating in the dynamical regimes. New and exciting applications in wetting and adhesion rely heavily on the complex rheological properties of fluids and soft solids, mechanical behavior at large deformations, and surface patterning.

In the regimes of interest, the triple line is subjected to complex dissipation mechanism either localized near the contact line through steady stade motion or through spontaneous and noise-induced instabilities stick-slip, avalanches, cavitation, pearling at a mescoscale. While many efforts have been made over the last few years to capture these phenomena, our understanding is still very limited. This focus session aims at bringing together experimentalists and theoreticians.

Fascinating soft materials, often with intricate organizations and unusual properties that derive from shape and out of equilibrium mechanics, are ubiquitous in many biological and bio-inspired systems. Recent research investigates these biological soft materials at the interface of liquid crystals and active matter, uncovering new physical mechanisms in biology and soft materials. Examples include research in dense collections of biopolymers, bacterial suspensions, cellular tissues, and systems created from biological materials or cells coexisting with liquid crystals.

This focus session will bring together experimentalists and theorists to share their recent progress on understanding the physics of these biological and bio-inspired systems in the perspective of active matter and liquid crystals. The session will promote further developments and invoke interdisciplinary efforts in unifying different frameworks to elucidate the intriguing physics of soft, biological materials from the semi-dilute to dense limit. Organizers: Rui Zhang ruizhang uchicago. This focus session targets the emergent interest in self-limiting assemblies.

Unlike canonical assembly systems, which grow to unlimited sizes in equilibrium, self-limiting systems are those that assemble to well-defined, finite sizes. Assembly of multiple protein subunits into larger, yet finite-sized, superstructures is ubiquitous and functionally vital in biology, including capsids of viruses, extra-cellular protein fibers in plants and animals, and photonic structures in insects.

Advances in the ability to resolve these assembly processes in spatially and temporally-resolved experiments raise new questions about optimal strategies for size-regulated assembly. Such programmable material systems, in concert with newly explored physical mechanisms for size-regulation e. Finally, there are numerous examples of actively self-regulated assembly processes in cells, and recently developed approaches to design and fabricate active synthetic particles for assembly. These systems raise key questions about distinct nonequilibrium mechanisms of size control, and basic tradeoffs they pose between robustness of structural control and energetic costs of self-regulating feedback mechanisms.

Organizers: Greg Grason grason mail. This session aims to bring together researchers from various electrostatic communities from GSOFT, DPOLY, DBIO, and DFD including, liquid crystal and block copolymer orientation, electrospinning, electrospray, ionic propulsion, electrophoresis of active matter, electroporation, electrowetting, electrohydrodynamics, and soft robotics. Organizer: Jonathan Singer jonathan. Biology is full of examples where individual components, exhibiting simpler dynamical behavior, self-organize and generate emerging complex behavior as a group.

These biological processes typically require an external supply of energy, as life is not in a thermodynamic equilibrium. Such complex dynamical behavior emerges at every level and scale, e. These biological processes, disparate in time and length scales, all have in common dynamical self-organization and emerging time-dependent behaviors. This session aims to bring together experimental and theoretical work that highlights these phenomena in different biological systems. Materials driven at the microscale, termed active matter, are at the forefront of soft matter research.

Most progress to date has been made in the context of simplified model systems such as microtubule-kinesin active fluids and self-propelled colloids Janus particles, quincke rollers etc. In order to build materials with the remarkable adaptive and responsive properties exhibited by biological systems such as the cell cytoskeleton, the frontier of active matter now lies in building multi-component composite materials where the interplay between the different components allows access to emergent phenomena not accessible in single component systems.

There are numerous ongoing efforts both experimental and theoretical, in designing this next generation of active materials. Organizers: Aparna Baskaran aparna brandeis. From soft robotics to 4D printing: research labs abound with examples of smart morphable matter capable of interacting with their environment solely on the basis of their material properties. These responsive, malleable and programmable materials often derive their remarkable functional properties from their structure rather than their chemistry alone.

This FOCUS sessions seeks contributions studying the fundamental and practical aspects of such morphing materials. Particularly, 1 the mechanisms of amplification of an input via the architecture of the materials and 2 the programmability of a complex response using a simple mode of actuation. Organizers: PT Brun pbrun princeton. PT Brun pbrun princeton. These problems have in common the slow flow of a viscous fluid interacting with a compliant object or boundary.

The justification of the proposed focus session is that the variety and complexity of such problems at the interface of fluid mechanics and soft matter physics requires an interdisciplinary approach harnessing the skills of solid mechanicians, fluid mechanicians and soft matter physicists including nonlinear and condensed matter physicists to make progress on predictive models anchored on fundamental physics. Organizers: Ivan C. Christov christov purdue. Machine learning has generated much recent excitement within the physics community, and provides a powerful new tool to analyze and understand many physical systems.

Usage of machine learning is still in its infancy, and many interesting challenges remain unexplored. What machine learning methods are most appropriate? How do we use these tools most effectively? Should experimental procedures be redesigned to take advantage of machine learning? Organizers: Shmuel Rubinstein shmuel seas. Rycroft chr seas. Rycroft, chr seas. Mechanical, biological and chemical systems have recently demonstrated the ability to realize, process and relay information in ways and at scales superior to that of traditional electronic computing.

This focus session on programmable matter will address how logical operations, pattern recognition, optimization and other computing tasks may be realized in diverse material systems. Recent sessions on metamaterials, actuated structures, structures designed by artificial intelligence and robotic systems have dealt with programming matter. This session will address similar work from a different perspective. Organizers: Zeb Rocklin zebrocklin gatech. The physical properties of nonequilibrium matter can differ fundamentally from those of equilibrium systems, and mechanics is no exception.

Recently, several groups have demonstrated that assemblies of active, dynamic, or driven elements can harbor unique large-scale mechanical and acoustic properties such as one-way transport, nonreciprocity, self-locomotion, and controlled amplification. While the specific realizations range from metamaterials to robotic assemblies to biological networks, they share the unifying theme that the novel mechanical behavior emerges from interactions among active building blocks. Progress in this area will involve both theoretical and computational advances to describe the elastic properties of dynamic assemblies, as well as experimental developments to fabricate and characterize candidate materials with nonequilibrium elements.

This focus session aims to showcase new and future developments in this burgeoning field, and to bring together researchers from diverse disciplines to work towards a common physical framework and inspire new collaborations. Organizers: Corentin Coulais coulais uva. Active matter is a prominent area of research in soft matter, given the opportunity to learn new physics active materials are out of equilibrium , engineer new materials e.

This is highlighted in a recent review article in Reviews of Modern Physics on "Active particles in complex and crowded environments" by Bechinger et al. This session will focus on this new direction in active matter research. A broad variety of soft structures of current and perennial interest derive their mechanical response from properties that are less material than geometric. Symmetries, structural thinness, metric constraints such as curvature or twist, fractal dimension, complex patterning and structural correlations statistics are all geometrical quantities that can determine patterns of stress, strain and nonlinear deformations across a system.

Such considerations are widespread in the soft, nonlinear, polymer and bio communities at APS. This session focuses on a variety of problems in soft mechanics where geometry plays a critical role, and showcase common themes in the emergent properties of these systems. What is the nature of the yielding transition in solids?

Is this transition different in crystals and glasses? In spite of many years of work, and the obvious technological and scientific importance of this subject, there is no clear consensus. The purpose of this focus session will be to bring researchers from different groups to explore how these various threads of reasoning inter-connect, and to see whether a consensus, leading to greater understanding of this phenomena, is possible.

This FOCUS session addresses fundamental theoretical questions that are at the heart of rigidity and flow in soft matter defined broadly, specifically from groups working on phenomena such as yielding and shear banding in systems ranging from crystals to gels to glasses. Organizers: Bulbul Chakraborty bulbul brandeis. This focus session deals with the flow, deformation, and physics of liquid interfaces with adsorbed surface active species. Such complex interfaces have unique and rich interfacial physics that govern their behavior.

Importantly, these interfacial properties affect the bulk behavior of soft matter. Organizers: Gordon Christopher gordon. Kinetic theory is a powerful technique in theoretical physics that allows to derive an effective macroscopic description of a physical system by integrating out formally its underlying microscopic degrees of freedom.

First formulated in the context of dilute gases, it is still widely used throughout the sciences nowadays. The aim of this Focus Session is twofold: 1 to provide a pedagogical introduction to this important technique accessible also to non-experts and 2 to present an overview of the state-of-the-art research employing this methodology not only in physics, but also in biology, finance and the social sciences.

Organizers: Andrea Cairoli andrea. Sano tomohiko. As soft condensed matter physics has matured and grown, it is responsible to discuss a roadmap of the fundamental questions and challenges that will, along with new discoveries, influence the future of the field and to address the resources that will be needed. This workshop will produce a similar roadmap, and will foster a lively exchange of new ideas as participants will want to see that the most exciting and current science is included. Organizers: Paul Chaikin chaikin nyu. One of the main aims of soft matter physics is to find the microscopic principles that underpin the mechanical behavior of soft materials such as gels, elastomers, composites and polymeric, structured and multiphase fluids.

A main challenge in these efforts is to be able to spatially resolve the response of soft materials under applied stress or flow at the relevant length and time scales. Similarly, measurement and visualization of mechanical properties of soft biological tissues has been an area of active research in medical physics, where such information is anticipated to lead to new diagnostic capabilities. Both fields have independently seen tremendous developments in the last decades.

Yet despite their overlapping aims, soft matter physics and medical physics rarely benefit from each other's progress. The aim of this focus session is to bring these two communities together and exchange expertise on measurement techniques and data analysis methods in the optical imaging domain, such as OCT, Brillouin spectroscopy, the many forms of laser speckle imaging and optical tweezing. Most macroscopic systems in nature evolve in time in the presence of either extrinsic or intrinsic noise. Understanding these noisy nonlinear dynamical systems has thus always been of central importance and interest in contemporary physics.

Stochastic fluctuations, noise-induced correlations, spontaneous pattern formation, and even generically scale-invariant phases play an essential role in characterizing non-equilibrium systems and constitute a highly active eld of current research, both in experimental studies as well as in analytical theory and numerical investigations. Moreover, exploring potential external control of their characteristic features has become a fertile research area in recent years, addressing the design, optimization, and emergent behavior of stochastic non-linear systems. Although granular materials have received considerable attention, we still do not have a complete description of their collective behavior under external driving.

This focus session will highlight studies aimed at understanding crystallization in both wet and dry granular materials undergoing vibration, cyclic and continuous shear, or other driving mechanisms. Studies of the evolving structure and the dynamics such as nucleation and growth during crystallization will help establish a theoretical framework for ordering transitions in driven, dissipative systems.

We seek abstracts from interdisciplinary researchers in mechanics, physics, materials science and engineering performing experimental, theoretical, and computational studies of crystallization in granular materials. This focus session will catalyze new collaborations aimed at understanding how external driving controls the collective dynamics of granular media.

Fabric, knitted and knotted structures are ubiquitous in our every-day life. Each morning, we get dressed in clothes that serve a multitude of functions, from keeping us warm and dry, to just style. Furthermore, our shoes often contain laces, which, after decades of trying, most of us still tie in the wrong i. Knots are also instrumental to many other activities including sailing, climbing, and surgery, where their mechanical failure can lead to drastic consequences.

These technologies have been an integral part of society for millennia, even if their design, manufacturing, and usage tends to rely primarily on empirical principles. The necessary ingredients for modeling include the geometry and topology of the filaments, self contact and friction, and the extent of intrinsic disorder.

Part of the motivation to revisit these systems is a drive to more thoroughly rationalize their mechanical performance. Perhaps an even more significant motivation for the recent developments has been the recognition that revisiting the study of fabrics, knits, and knots can lead to novel ideas for the design of metamaterials with novel features, functions, and properties.

With this focus session, we seek to bring together representatives from the various groups studying fabrics, knits, and knots to cross-pollinate research methodologies, identify previously unrecognized connections in modeling strategies, and explore new research directions.

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The proposed venue will provide a modern unified perspective to these systems, under the umbrella of the mechanics, geometry, and topology of the underlying structures. In recent times, there have been significant advances in developing responsive soft materials, at the interfaces of physics, chemistry, materials science and engineering. Promising materials systems that can be made to respond, on-demand, to an external stimulus include hydrogels that can swell, magneto-rheological and dielectric elastomers that can be actuated using magnetic and electric fields and pneumatic actuators.

The constitutive descriptions e. The next frontier in this class of problems is to take the existing knowledge at the material level to devise active and extremely deformable structures to enable novel devices that benefit from the interplay between their shape and distributed actuation. The large deformations that are desired from such structures introduce an additional layer of complexity due to the significant geometric nonlinearities and mechanical instabilities that may arise during actuation.

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Therefore, the rational and predictive design of active structures made with responsive materials requires the tackling of material and geometric nonlinearities in an integrated and fully-coupled manner. The time is ripe to start tackling the forward and inverse design of these active structures using physics-based predictive models, requiring the input of complementary communities.

As such, new computational, theoretical and experimental tools are essential to understand, predict and rationally design these systems. Given the diversity of fields working on this topic, the goal of this focus session is to bring the different communities together to share emerging developments, identify challenges and to generate a common language.

This focus session will explore outstanding issues related to granular flow and packing beyond simple mechanical models. Though most studies of granular materials have treated the particulates as spherical, granular materials exhibit a wide-range of complex shapes and sizes with varying material compositions and structure.

This focus session will address the effect of particle shape and distribution of sizes on complex, nonlinear granular flows including shear thinning, shear thickening and jamming of dense suspensions and dry granular materials. The discovery of the Gardner transition in hard sphere glasses has led to a number of advances in our understanding amorphous solids, including providing an intuitive explanation for the soft vibrational modes of glasses, as well as predictions for the critical exponents of jammed packings.

This focus session will highlight work focused on expanding our current theoretical understanding of the Gardner transition, as well as observing it in experiments and simulations. Therefore, we seek abstracts from researchers performing experimental, theoretical, and computational studies of the Gardner transition. This focus session will continue the dialogue between the jamming and glass communities, which will enable continued rapid progress in solving the glass problem.

The field of mechanical metamaterials investigates materials with properties obtained by architecture rather than composition or chemistry. The field has seen an explosion of activity in recent years largely due to the advent of advanced fabrication and computational techniques. Many of these materials uniquely capitalize on non-linearities to achieve their properties and can be activated by external stimuli such as heat, pressure, electric fields or chemical activity. This field lies at the cusp between physics, engineering and mathematics, and this session aims to bring together researchers from diverse backgrounds to form new interdisciplinary connections.

Recently, there has been impressive experimental and theoretical progress concerning the dynamical properties of noise-driven systems that are far-from-equilibrium. For example, researchers are now able to directly construct stationary, non-zero probability current densities in biophysical systems such as beating flagella and migrating cells.

Such measurements can provide direct evidence of detailed balance violation, an essential feature in the functioning of many non-equilibrium systems. At the same time, there is substantial theoretical effort to understand fluctuation properties in such systems by proposing new quantitative approaches to characterize breaking of detailed balance.

The proposed session is targeted to both experimentalists and theorists from a range of traditional fields spanning biophysics, nonlinear and statistical physics, and condensed matter physics, for whom it will be stimulating to explore common sets of new and emerging experimental techniques and analytical tools for understanding the noisy dynamics of far-from-equilibrium systems.

Power-law memory is common among various cases of systems physical, biological, economic, social, etc. The applications include human brain and memory, various types of biological including human organ tissues, viscoelastic materials, anomalous transport in Hamiltonian systems and billiards, various economic processes, and so on. Presence of memory changes the behavior of systems. In many cases the changes are quantitative, but in the case of nonlinear systems, the changes may be on the fundamental, qualitative level. At the present time, this kind of behavior is not explained.

Liquids, ubiquitous on earth, are prototypical disordered condensed matter. Its very existence is remarkable, thanks to the delicate balance between interparticle potential and entropy. The phase behaviors of liquids and liquid-like matter, especially when driven out of equilibrium by extreme conditions, are exceptionally rich. Accordingly, the physics of liquids have attracted much attention in the recent decades. In addition, numerous soft and biological materials of amazing far-from-equilibrium complexity seem to share many intriguing features of liquids. Therefore, quantitative descriptions of the structure and dynamics of liquids and liquid-like matter will likely impact a wide range of disciplines in physics, chemistry, and materials science and engineering.

The proposed session at APS March Meeting will focus on the forefront of the research on liquids, from fresh theoretical treatments and computations to cutting-edge experimental techniques. Proteins underlie all biological processes; any task performed either within or by cells is coordinated through the complex interactions among proteins.

Schmidt-Rohr Group | Publications

Understanding the mapping from sequence to structure is thus vital to understanding protein interactions, and therefore the vast array of biological processes themselves. However, going from sequence to structure i. The inverse problem of determining what possible sequences can adopt a given three-dimensional structure is generally unsolved for similar reasons. The positions of the amino acids are highly correlated within the protein interior, and it is often unclear how changes in the sequence will affect the placement of the protein backbone. While addressing these problems has been challenging, researchers in the statistical and nonlinear physics community have made a number of recent advances.

For example, studies have shown that the hydrophobic protein core is arranged nearly identically to jammed packings of non-spherical particles, which suggests a new perspective for modeling the response of proteins to thermal fluctuations, applied stress, and mutations. Protein folding and design are at the intersection of the physics of disordered systems and biological and chemical physics, and thus this session welcomes interdisciplinary researchers whose work uses experimental, theoretical, and simulation approaches to understanding protein structure and design.

Today, exploiting breakthroughs in computation and experiment together with the unprecedented understanding of fully nonlinear dynamical systems we are equipped better than ever to address the subtle issues surrounding the loss of stability in thin elastic systems and buckling. As a result, the problem is experiencing a renaissance where new material and methods are leverage to develop contemporary approaches to tackle the classical problem of predicting when and how thin shell structures buckle and collapse.

During the last two decades, there has been a revolution in non-equilibrium statistical physics and stochastic thermodynamics. At the same time, our understanding of the information processing within biological cells has greatly expanded. This has been driving a simultaneous explosion of work on the thermodynamics of biological information processing. Electron-phonon coupling drives conventional superconductivity.

Here, phonon-mediated attraction binds electrons to form Cooper pairs. But, this effect holds at relatively weak electron-phonon coupling. Recent research has deepened our understanding of the delicate interplay between strong electron-phonon coupling and unconventional superconductivity.

One approach proposes new upper bounds on Tc based on the idea that strong electron-phonon coupling promotes competing phases, and quenches coherence via enhance electron pair bipolaron masses [npj Quantum Materials 3. Other new work has found that the off-diagonal coupling, often neglected in the electron-phonon mechanism, binds pairs of small mass even at strong coupling, thus evading limitations imposed by enhanced masses, and opening a new door to phonon-driven high-Tc superconductivity [Phys.

This session will aim to synthesize developments in these opposing directions to provide a unifying front for future research. In the past 15 years, there has been tremendous development in machine learning ML based on deep neural networks DNNs , and we have seen an increasing number of talks at the APS March Meeting on applications of ML to physical and biological systems. However, despite their many successful applications, there is no theory regarding the underlying principles of DNNs, i. Historically, statistical physics played an important role in the initial development of artificial neural networks, such as the Hopfield model, the Boltzmann machine, and applications of spin-glass theory to neural networks.

We believe time is ripe to develop a solid theoretical foundation for DNN algorithms based on concepts and methods from statistical physics. In this Symposium, we plan to bring experts from the statistical physics and machine learning community together to discuss about fundamental issues and possible directions for understanding and advancing AI research based on ideas and tools from statistical physics.

In the past 15 years, Statistical Physics has been successful as a framework for modelling complex networks. On the theoretical side, this approach has unveiled a variety of physical phenomena, such as the emergence of mixed distributions and ensemble non-equivalence, that are observed in heterogeneous networks but not in homogeneous systems. At the same time, thanks to the deep connection between the principle of maximum entropy and information theory, statistical physics has led to the definition of null models for networks that reproduce features of real-world systems but that are otherwise as random as possible.

We review here the statistical physics approach and the null models for complex networks, focusing in particular on analytical frameworks that reproduce local network features. We want to give an overview on the models have been used to detect statistically significant structural patterns in real-world networks and to reconstruct the network structure in cases of incomplete information. Active matter is a prominent area of research in soft matter and biological physics: it gives us the opportunity to learn new physics active materials are out of equilibrium , engineer new materials e.

In these cases, environmental interactions can strongly impact motility behaviors and collective phenomena like flocking, clustering, and phase separation. First subsession: It is now indisputable that physical environment critically regulates cell and tissue function. However, it is only recently that we have begun to understand how chemical and mechanical interactions among cells shape the physiology and mechanics of tissue. This focus session will bring together a collection of experimental and theoretical work on our understanding of nuclear mechanics, single cell mechanics, and tissue mechanics, as well as how cell-cell interaction influences cell collective dynamics, tissue physiology and mechanics.

Second subsession: Living systems sense and respond to their environment via mechanisms at the molecular, cellular, and macroscopic scales. The emerging field of mechanobiophysics seeks to understand and elucidate the physical principles and mechanisms that underlie how mechanical information such as mechanical stresses, strains, and moduli are sensed and transmitted from molecules to cells to tissues, and how these processes impact the collective properties of cells and tissues, and their biological functions in health and disease. This Focus session presents work that explores the role of mechanics and its interplay with chemical, biological, and statistical mechanical properties in determining emergent biological properties across several spatial scales, with critical implications for development, physiology, and disease.

The session will emphasize mechanobiophysics at the sub-cellular scale, the cellular scale, and the tissue scale. Second subsession: Moumita Das Rochester, modsps rit. While neurodegeneration and other brain diseases have been of great concern for decades, physics-based modeling has led to many recent results that elucidate emergence of such diseases, for example, autism. A second invited talk will outline the molecular dynamics of intrinsically disordered proteins, such as polyglutamine and alpha-synuclein pointing to the relevance of the knot formation in the folded state of proteins as a toxicity factor in Huntington disease.

Social interactions shape our lives. Yet, their complexity challenges our ability to understand, model and mimic optimal social network structures. The recent advent of physics of behavior studies is providing new insights into physical principles that govern social behavior: from short range interactions, e. This session will explore the boundary between such animate and related inanimate physical interactions, how social interactions are governed by physics, and vice versa, how other interactions between entities we tend to consider as inanimate could be social.

We will draw from a diverse range of efforts to address it including experimental work as well as theoretical, computational, and robotic models. Organizers: Orit Peleg University of Colorado, orit. The immune system is essential to our health, and yet its understanding is in its infancy. In particular, immune sensing and response, often the first steps in widely divergent systemic decisions, present key targets for manipulation and modeling. Indeed, in recent years study of these processes has yielded increasing abundance of quantitative data, along with the development of powerful theoretical and simulation methods.

As a result, a community of physicists interested in immunology has been forming gradually. This Focus Session aims to bring together a broad range of experimentalists and theoreticians interested in immune sensing and response, further supporting the immuno-physics community as it gathers momentum. Keywords: Immune, immunity, cell, adaptive, innate, antibody, antigen, cytokine, ligand, receptor, signaling, feedback, sensing, thymus, spleen, lymph.

Interactions between engineered nanomaterials such as Au, SiO2, CNT, and graphene and biological molecules such as proteins, DNAs, and lipid membranes have become more and more ubiquitous in research and development. Recent advances in fabricating nanomaterials have greatly accelerated the application of synthetic sensors miniaturized down to the nanoscale for interrogating biological molecules, such as biomolecule sensors for DNA sequencing and protein analysis.

Life is in essence a multiscale process whose elements range from single-biomolecule to network of cells. Recently, there has been a rapid growth of both interest and progress in integrating a broad range of optical microscopy and spectroscopy—the longtime workhorses of biological research—into a single instrument platform to study living matters at multiple spatial and temporal scales. The session is likely to invigorate discussion among multimodal microscopy and biophysics community, and also from other physics research groups such as condensed matter, materials, soft matter, and instrument and measurement science.

Biomaterials seen from a physics point of view, with specific attention to the structure, the function, and the relationship between structure and function, in both natural biomaterials and synthetic materials inspired by nature. This focus session on the influence of time-varying environments on population dynamics will assemble physicists working on a variety of biological systems from microbiology and ecology to immunology under a common physical theme.

Time-varying environments have been long thought to shape evolutionary outcomes. But recent advances have provided quantitative high-throughput data sets on evolution in dynamic environments mapping molecular fitness landscapes, tracking repertoire diversity, recording lineages. Further, we can now dynamically manipulate the environment in directed molecular evolution in the lab. Such experimental advances in multiple fields now demand that we generalize the theoretical tools of disordered systems and statistical physics to time-varying environments to confront data in this poorly understood regime of population dynamics.

This session is built around an idea relevant to a broad range of biological systems, ranging from co-evolution in eco-evolution and immunology to directed molecular evolution and laboratory evolution of microbial populations. Structure-function relationships in proteins remains an important topic attracting intense studies using increasingly sophisticated tools.

Understanding the interplay of the primary structure of proteins with weak interactions during folding, dynamics, and function requires the use of quantitative approaches based on physics. Such understanding is essential not only for biological science but also for medicine and applications of proteins. This session will present both computational and experimental studies on this topic. Peptides and small proteins provide powerful model systems to understand fundamental properties of proteins, allowing novel experimental and computational tools to be developed and applied.

In addition, their aggregation has proven to be critical for a range of important human diseases. Recently, peptides have been shown to be capable of a surprising level of catalytic activity. Thus, peptides and small proteins provide rich and important systems at the interface of biology and physics. This session will provide an overview of current progress and novel insights in this area. Over the last decade there has been remarkable growth in the number of biophysicists studying the emergent phenomena present within biological populations.

This increase in interest has arisen from the combination of new experimental techniques eg sequencing and the realization that classical theoretical ideas can now be explored quantitatively in experimentally tractable systems e. This focus session will bring together theorists and experimentalists in an attempt to advance our understanding of the evolutionary and ecological dynamics of populations and communities. First subsession: This focus session will explore the physics of cytoskeletal systems on length scales ranging from the molecular to the cellular, and across disciplines, bringing together approaches ranging from cell biology to reconstituted systems to modeling in order to reveal the physical mechanisms of cellular behavior.

We will focus on work that connects molecular level features with higher-level properties of cytoskeletal filaments and their assemblies. Our emphasis will include how such properties enable and control cellular and tissue function, and how stresses and other signals are transmitted and sensed in such a dynamic, stochastic environment.

Second subsession: Intracellular transport describes the continued and dynamic movement of materials in cells. Importantly, dysfunctions in this process are linked to diseases including neurodegeneration. Intracellular transport cannot be accomplished by passive diffusion alone. Instead, cells utilize protein machines molecular motors to actively transport materials along the cytoskeleton.

This Focus Session will bring together experimentalists and theorists working to dissect the physical principles of transport, particularly under complex conditions such as those that occur in cells. Organizers: First subsession: Meredith Betterton Univ. Colorado, mdb colorado. Robots are moving from the factory floor and into our lives autonomous cars, homecare assistants, search and rescue devices, etc. We propose that interaction of researchers studying dynamical systems, soft materials, and living systems can help discover principles that will allow physical robotic devices to interact with the real world in qualitatively different ways than they do now.

This Focus session will bring together leaders in this emerging area, demonstrating the need for a physics of robotics and revealing interesting problems at the interface of nonlinear dynamics, soft matter, control and biology. Goldman Georgia Tech, dgoldman3 gatech. The field of Morphogenesis lies at the intersection between physics, biology and engineering. Many recent activities have focused on understanding how biology has devised elaborated strategies for regulating pattern formation and mechanical forces in both space and time.

Morphogenesis has also inspired scientists to design shape-programmable, stimulus-responsive matter. This session aims at bringing together researchers from diverse backgrounds to forge new interdisciplinary connections. Non-linear deformations occur in a wide range of biological processes including cell division, tissue folding and animal development. These non-linearities are often caused by the coupling of mechanical forces to biological process such as protein synthesis, chemical signaling and electrical signaling.

Altering the mechanics of these deformations leads to abnormal animal behavior and developmental disorders. Understanding the causes of these deformations and how they affect biological outcomes allows us to manipulate biological systems mechanically. Inference, information, and learning are subjects of emerging interest in the context of biological and physical systems.

Not only do these subjects play a central role in the exploration and interpretation of experimental data, but understanding the mechanisms by which biological systems perform inference, transmit information, or learn are themselves subjects of great interest to physicists. In this session, we will explore inference, information, and learning, from a physical perspective, both as a tool for and as the subject of enquiry.

Information needed by all cells to survive and proliferate is encoded in the sequence of nucleotides in genomic DNA. In eukaryotes, DNA is packaged into chromatin — a complex multi-scale structure which ensures that all chromosomes fit into the tight confines of the cell nucleus.

However, DNA in this packaged state must either remain accessible to various regulatory proteins such as transcription factors, or be made accessible rapidly and robustly in response to various challenges facing the cell throughout its life cycle. This dilemma of packaging and accessibility has recently attracted a lot of attention from the biological physics community, with methods from polymer physics, statistical mechanics, and condensed matter physics being applied to understand DNA folding and dynamics, protein-DNA interactions, and chromatin structure and function.

This session will focus on the latest developments in this rapidly advancing field, bringing together experimental and theoretical scientists in the fields of chromatin, DNA, and protein-DNA recognition. This session is designed to showcase recent advances in the formulation of physical principles for understanding brain structure and dynamics. It will also highlight some of the outstanding problems whose solutions will be advanced by application of physical methods.

Areas covered include: dynamics and information processing in large neural circuits, activity induced changes in circuit wiring, coordination between different types of neurons, brain-environment interaction and adaptation to natural stimulus conditions, implications for clinical applications. We expect that the opportunities explored in this session will stimulate the emergence of new physical problems as well as new application of physical methods and principles to further our understanding of the brain. Organizer: Tatyana Sharpee Salk Institute, sharpee snl. Pennsylvania, vijay physics.

Genetically identical bacterial cells are known to exhibit significant variability in their growth and division. These variations are correlated across generations due to regulatory mechanisms such as cell-size control. Thanks to recent advances in single- cell tracking technologies, the phenomenology of growth and division is being uncovered in many bacterial species. However, the molecular mechanisms behind such phenomenological models have become subjects of debate. Moreover, it has recently been shown that the details of noise and correlations in growth and division of individual cells can have significant effects on the population dynamics, which further highlights the importance of correct phenomenology consistent with molecular mechanisms.

Given the recent surge of progress in different aspects of this field, this session aims to bring together theorists and experimentalist in order to provide a coherent picture of bacterial growth and reproduction that is consistent across scales. Macromolecular phase separation is increasingly appreciated to play a fundamental role in a wide range of cellular processes. Often these processes rely on one or more aspects of the particular material properties of the biomolecular condensates formed following phase separation of specific proteins, RNAs, or sugars.

An understanding of how condensate material properties emerge from multiple weak interactions between constituent macromolecules remains elusive, as do general principles for how these properties are tuned by evolution. Progress requires quantitative measurements on diverse experimental model systems combined with new theoretical and computational frameworks to both describe sequence-dependent interactions between heteropolymers on the molecular level and to account for non-equilibrium aspects of the dynamics on the cellular scale. By bringing experimental, computational, and theoretical physicists from the polymer science, biophysics, and soft matter communities together with biologists and bioinformaticians, this focus session aims to foster interdisciplinary communication and collaboration in this exciting area.

The session will highlight how synthetic biological engineering of cells and molecules can provide research tools for biological physics, to interrogate biological systems at all scales by delivering precise stimuli, obtaining quantitative readouts, performing parameter scans, thereby discovering quantitative principles of biological organization and function.

Back to Sorting Categories. Energy harvesting processes in organic and hybrid perovskite photovoltaics and in natural and artificial photosynthetic systems often rely on interplay between electronic and vibrational excitations. These processes are fast, generally requiring ultrafast spectroscopic probes to disentangle. Though many applications rely essentially on the electronic energy, effects of electron-vibration coupling including polaron formation and non-adiabatic effects can be essential to the electronic properties.

This Focus Symposium will highlight experimental and theoretical progress in understanding optical absorption and energy transfer processes in polymers, aggregates, single molecules, quantum dots, and hybrid perovskites, including study of singlet fission, with a focus on the electron-vibration coupling. Probing ultrafast dynamics in molecules requires both sufficiently high temporal resolution as well as observables sensitive to the evolution of the relevant degrees of freedom; generally the nuclear and electronic character in photochemical processes.

To capture the vibrational and electronic motions on their inherent timescales will require femto- and attosecond time resolution. Macromolecules , 0 proofing DOI: Macromolecules , 43 2 , Daniel Fragiadakis and James Runt. Macromolecules , 42 21 , Macromolecules , 42 20 , Macromolecules , 42 17 , Ediger, Ye Sun and Lian Yu. White and Jane E. Macromolecules , 42 15 , Macromolecules , 42 14 , Macromolecules , 42 10 , Macromolecules , 42 7 , Macromolecules , 42 4 , Paul Painter and Mike Coleman.

Macromolecules , 42 3 , Macromolecules , 41 22 , Junshu Zhao, Liang Zhang and M. Macromolecules , 41 21 , Kang Chen and Kenneth S. Macromolecules , 41 15 , Eirini F. Kamitsos, George Floudas. Macromolecules , 41 16 , Macromolecules , 41 14 , Macromolecules , 41 13 , Maranas, Inmaculada Peral, John R. Macromolecules , 41 10 , Sudesh Y. Kamath, Michael J. Arlen, William A. Hamilton and Mark D.

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Arbe,, A. Colmenero, and, B. Dynamic Confinement Effects in Polymer Blends. Macromolecules , 40 13 , Kwanho Chang,, Christopher W. Macosko, and, David C. Macromolecules , 40 10 , Gustavo A. Macromolecules , 40 9 , Roland and, R. Dmitry Bedrov and, Grant D. Macromolecules , 39 24 , Macromolecules , 39 20 , Jungki Kim,, Michelle M. Mok,, Robert W. Macromolecules , 39 18 , Young Gyu Jeong,, Natalia V. Macromolecules , 39 14 , Roland,, K.

McGrath, and, R. Macromolecules , 39 10 , Arbe,, J. Colmenero,, B.

How to Feet Progressive glasses lense at Your Work Shop - Eye Wear

Frick, and, J. Macromolecules , 39 8 , Yuji Hirose and, Keiichiro Adachi. Macromolecules , 39 5 , The Journal of Physical Chemistry B , 9 , Macromolecules , 39 6 , Frick,, L. Willner,, D. Richter, and, L. Macromolecules , 39 3 , Macromolecules , 39 1 , Shane E. Harton,, Tadanori Koga,, Frederick A. Stevie,, Tohru Araki, and, Harald Ade. Macromolecules , 38 25 , Lutz,, Yiyong He, and, M. Macromolecules , 38 23 , Macromolecules , 38 24 , Lewis J.

Fetters,, Jung H. Lee,, Robert T. Mathers,, Phillip D. Hustad,, Geoffrey W. Coates,, Lynden A. Archer,, Steven P. Rucker, and, David J.

Glasses, Polymers, Proteins

Thomas H. Macromolecules , 38 21 , Jones, , Jai A. Pathak,, Ralph H. Macromolecules , 38 18 , Macromolecules , 38 15 , Yiyong He,, T. Lutz, and, M. Macromolecules , 38 14 , Macromolecules , 38 12 , Ralph H. Colby and, Jane E. Macromolecules , 38 11 , Macromolecules , 38 6 , Macromolecules , 38 5 , Macromolecules , 38 4 , Macromolecules , 38 3 , Macromolecules , 38 2 , Floudas, , S.

Zhang and, J. Macromolecules , 37 26 , Maranas, , Zema Chowdhuri. Kenneth S. Schweizer and, Erica J. The Journal of Physical Chemistry B , 51 , Macromolecules , 37 23 , Macromolecules , 37 21 , Macromolecules , 37 20 , Jai A. Pathak,, Sanat K. Kumar, and, Ralph H. Macromolecules , 37 18 , Ediger, , Marinos Pitsikalis and, Nikos Hadjichristidis. Macromolecules , 37 17 , Macromolecules , 37 16 , Dielectric Studies of Blends of Poly ethylene oxide and Poly styrene-co-p-hydroxystyrene. Semicrystalline Blends.

Macromolecules , 37 13 , Horvath, and, James Runt. The Journal of Physical Chemistry B , 23 , Stejskal,, Stefan Jurga,, Elizabeth F. McCord, and, Jeffery L. Macromolecules , 37 12 , Macromolecules , 37 10 , Shihai Zhang and, James Runt. The Journal of Physical Chemistry B , 20 , Roland Faller. Macromolecules , 37 3 , Ediger, , Timothy P. Macromolecules , 36 24 , Rama Kant and, Sanat K. Kumar, , Ralph H. Macromolecules , 36 26 , Sudesh Kamath,, Ralph H. Macromolecules , 36 22 , Macromolecules , 36 21 , Macromolecules , 36 19 , Zhang,, X.

Jin,, P. Painter, and, J. Jeffrey C. Haley and, Timothy P. Lodge, , Yiyong He and, M. Ediger, , Ernst D. Macromolecules , 36 16 , Macromolecules , 36 15 , Macromolecules , 36 14 , Macromolecules , 36 10 , Macromolecules , 36 5 , Macromolecules , 36 1 , Shihai Zhang,, Paul C. Painter, and, James Runt. Macromolecules , 35 25 , Macromolecules , 35 24 , Macromolecules , 35 22 , Maria C. Macromolecules , 35 19 , Macromolecules , 35 14 , Macromolecules , 35 6 , Kevin Bechtold,, Marc A.

Hillmyer, and, William B. Macromolecules , 34 25 , Friction Coefficients of Polymers A and B. Macromolecules , 34 24 , Jodi M. Milhaupt and, Timothy P. Lodge, , Steven D. Smith and, Mark W. Macromolecules , 34 16 , Macromolecules , 34 13 , Journal of the Society of Materials Science, Japan , 60 1 , Polymer Composites , 32 1 , Soft Matter , 7 2 , Alexander M. Jamieson, Brian G. Olson, Sergei Nazarenko. Jiang, M. Du, Q. Gu, J. Jiang, H.

Huth, D. Zhou, G. Xue, C. Calorimetric study of blend miscibility of polymers confined in ultra-thin films. Concentration fluctuations in a binary glass former investigated by x-ray photon correlation spectroscopy. The Journal of Chemical Physics , 22 , Nihon Reoroji Gakkaishi , 38 1 , Segmental dynamics in polymers: from cold melts to ageing and stressed glasses.

Journal of Physics: Condensed Matter , 21 50 , Glass transition of heterogeneous polymeric systems studied by calorimetry.

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  3. Disorder Effects on Relaxational Processes - Glasses, Polymers, Proteins | Ranko Richert | Springer.
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Journal of Thermal Analysis and Calorimetry , 98 3 , Lipson, S. Percolation model of interfacial effects in polymeric glasses. The European Physical Journal B , 72 1 , Dynamical heterogeneity in binary mixtures of low-molecular-weight glass formers. The Journal of Chemical Physics , 4 , Kumar, Boris Veytsman, Ralph H.

Khaled Elmiloudi, Said Djadoun. A thermodynamic analysis of specific interactions in homoblends of poly styrene- co vinylpyridine and poly styrene- co -methacrylic acid. Masser, James Runt. Macromolecular Symposia , 1 , Ioannis M. Kalogeras, Witold Brostow. Glass transition temperatures in binary polymer blends. Hala M. Margetson, S. Mark McAllister, Abdul W. The molecular interactions that influence the plasticizer dependent dissolution of acrylic polymer films. Journal of Pharmaceutical Sciences , 97 9 , Kang Chen, Kenneth S.

Theory of physical aging in polymer glasses. Genix, A. Arbe, S. Arrese-Igor, J. Colmenero, D. Richter, B. Frick, P. Neutron scattering investigation of a diluted blend of poly ethylene oxide in polyethersulfone. The Journal of Chemical Physics , 18 , Elizabeth C.

Lugert, Timothy P. Plasticization of amorphous perfluoropolymers. Wei Zheng, Sindee L. Jansen, L. Wu, J. Goossens, G. Bailly, C. Koning, G. The incorporation of rigid diol monomers into poly butylene terephthalate via solid-state copolymerization and melt copolymerization. Kristin Schmidt, Heiko G. Reversible tuning of a block-copolymer nanostructure via electric fields.

Nature Materials , 7 2 , Nihon Reoroji Gakkaishi , 36 1 , Nature Materials , ,, Mok, Jungki Kim, John M. Gradient copolymers with broad glass transition temperature regions: Design of purely interphase compositions for damping applications. A J Moreno, J Colmenero.

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Tests of mode coupling theory in a simple model for two-component miscible polymer blends. Journal of Physics: Condensed Matter , 19 46 , Adam-Gibbs based model to describe the single component dynamics in miscible polymer blends under hydrostatic pressure. The Journal of Chemical Physics , 15 , Shams Es-Haghi, A. Yousefi, A. Lisa A. Brenskelle, Benjamin J. Cluster kinetics model for mixtures of glassformers. The Journal of Chemical Physics , 14 , Taheri Qazvini, N. Segmental dynamics of reactively prepared polystyrene blends: Unsaturated polyester resin versus high impact polystyrene.

Journal of Applied Polymer Science , 1 , Liang Zhang, T. Lutz, Junshu Zhao, M. Molecular weight dependence of polystyrene segmental dynamics in dilute blends with poly vinyl methyl ether. Serna, J. Larry Duda, Ronald P. Cangialosi, A. Route to calculate the length scale for the glass transition in polymers. Laredo, N. Prutsky, A. Bello, M. Grimau, R. Castillo, A. The European Physical Journal E , 23 3 , Rauch, M.

Hartung, A. Privalov, W. Correlation between thermal diffusion and solvent self-diffusion in semidilute and concentrated polymer solutions. The Journal of Chemical Physics , 21 , K L Ngai, S Capaccioli. On the relevance of the coupling model to experiments. Journal of Physics: Condensed Matter , 19 20 , Short time properties, dynamic fragility and pressure effects in deeply supercooled polymer melts. Niedzwiedz, A. Wischnewski, M. Monkenbusch, D. Richter, A. Arbe, J. Colmenero, M. Strauch, E. Grant D. Smith, Dmitry Bedrov. Kamath, M. Arlen, W.

Hamilton, M. The dynamics of copolymers in homopolymer matrices. Theory of relaxation and elasticity in polymer glasses.

Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins
Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins
Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins
Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins
Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins
Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins
Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins
Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins
Disorder Effects on Relaxational Processes: Glasses, Polymers, Proteins

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