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2017 Seminars

Center for Soft Matter and Biological Physics Seminars

Fall 2017

Organizer: Vinh Nguyen

Refreshments are served before the seminars (unless otherwise indicated)

August 2017
August 28

Monday 4:00pm
304 Robeson Hall

Joint CM Seminar

(poster)

Sheng Chen
Department of Physics, Virginia Tech

Computational studies of predator-prey competition models

The two-species stochastic Lotka-Volterra model already displays very interesting non-equilibrium dynamical properties on a two-dimensional square lattice. In order to explore possible origins of biodiversity, we add a second competing predator species, which renders the system even more complex. The individual predators are characterized by randomly distributed predation efficiencies and death rates, to which Darwinian evolutionary adaptation is introduced. We find that direct competition between predator species in combination with so-called character displacement play an important role in stabilizing ecologically diverse communities.

Host: Uwe Täuber

September 2017
September 4

Monday 4:00pm
304 Robeson Hall

Holiday No Meeting

(poster)

Labor Day. No seminar scheduled.

September 11

Monday 4:00pm
304 Robeson Hall

(poster)

Seminar cancelled and rescheduled to a later date.

September 18

Monday 4:00pm
304 Robeson Hall

Joint CM Seminar

(poster)

Prof. Lauren Childs
Department of Mathematics, Virginia Tech

Simulating Within-Vector Generation of the Malaria Parasite Diversity

Plasmodium falciparum, the malaria parasite causing the most severe disease in humans, undergoes an asexual stage within the human host, and a sexual stage within the vector host, Anopheles mosquitoes. Because mosquitoes may be super-infected with parasites of different genotypes, this sexual stage of the parasite life-cycle presents the only opportunity in the full life cycle to generate large genetic differences in parasites through recombination. To investigate the role that mosquitoes' biology plays on the generation of parasite diversity, we constructed a stochastic model of parasite development within-mosquito over its lifespan. We then coupled a model of sequence diversity generation via recombination between genotypes to the stochastic parasite population model. Our two-part model framework shows that bottlenecks entering the oocyst stage decrease diversity from the initial gametocyte population in a mosquito's blood meal, but diversity increases with the possibility for recombination and proliferation in the formation of sporozoites. Furthermore, when we begin with only two distinct parasite genotypes in the initial gametocyte population, the probability of transmitting more than two unique genotypes from mosquito to human is over 50% for a wide range of initial gametocyte densities.

Host: Michel Pleimling

September 25

Monday 4:00pm
304 Robeson Hall

Joint CM Seminar

(poster)

Harsh Chaturvedi
Department of Physics, Virginia Tech

Dynamics Of Driven Vortices In Type-II Superconductors

Technical applications of type-II superconductors in external magnetic fields require an effective flux pinning mechanism to reduce Ohmic losses due to flux creep and flow. In addition, driven vortex matter subject to thermal fluctuations and quenched disorder constitutes a system far from equilibrium that yields rich phase diagrams and many novel glassy states. Using numerical and analytical techniques, we have studied in detail, the dynamical relaxation features towards the equilibrium vortex or Bose glass phases following sudden changes in externally applied electric current. Most recently, we have characterized the long-time steady-state behavior of vortices driven perpendicular to a family of parallel planar defects (that model twin boundaries found in superconducting YBCO), revealing in the process, a rich collection of novel dynamical regimes spanning a remarkably broad depinning transition region that separates the pinned and moving-lattice states of vortex matter.

Host: Uwe Täuber

October 2017
October 2

Monday 4:00pm
304 Robeson Hall

Joint CM Seminar

(poster)

Prof. Xiaowei Wu
Department of Statistics, Virginia Tech

Learning Patterns from Genomics Data through Stochastic Modeling

Next-generation sequencing (NGS) enables a large variety of genomics applications (genome sequencing, transcriptome profiling, DNA-protein interactions, epigenome characterization, etc), and opens up unprecedented opportunities to uncover the genetic architecture and mechanisms of biological processes. However, it still remains challenging to build flexible and robust statistical models for knowledge discovery from the wealth of genomics data generated by NGS. We present several typical applications of state-of-the-art nonparametric methods (e.g., NP-Bayesian clustering, functional mixed model) based on the inhomogeneous Poisson process model of genomic heterogeneity patterns. These methods provide effective solutions to the modeling and analysis of modern omics data. Findings from such applications will help biologists better understand the molecular nature of biological processes such as transcriptional regulation and trait differentiation.

Host: Uwe Täuber

October 9

Monday 4:00pm
304 Robeson Hall

(poster)

Condensed Matter seminar. No CSB seminar scheduled.

October 16

Monday 4:00pm
304 Robeson Hall

Joint CM Seminar

(poster)

Dr. Charles Reichhardt
Los Alamos National Laboratory

Skyrmion Lattices in Random and Ordered Potential Landscapes

Since the initial discovery of skyrmion lattices in chiral magnets [1], there has been a tremendous growth in this field as an increasing number of compounds are found to have extended regions of stable skyrmion lattices [2] even close to room temperature [3]. These systems have significant promise for applications due to their size scale and the low currents or drives needed to move the skyrmions [4]. Another interesting aspect of skyrmions is that the equations of motion have significant non-dissipative terms or a Magnus effect which makes them unique in terms of collective driven dynamics as compared to other systems such as vortex lattices in type-II superconductors, sliding charge density waves, and frictional systems. We examine the driven dynamics of skyrmions interacting with random and periodic substrate potentials using both continuum based modelling and particle based simulations. In clean systems we examine the range in which skyrmion motion can be explored as a function of the magnetic field and current and show that there can be a current-induced creation or destruction of skyrmions. In systems with random pinning we find that there is a finite depinning threshold and that the Hall angle shows a strong dependence on the disorder strength. We also show that features in the transport curves correlate with different types of skyrmion flow regimes including a skyrmion glass depinning/skyrmion plastic flow region as well as a transition to a dynamically reordered skyrmioncrystal at higher drives. We find that increasing the Magnus term produces a low depinning threshold which is due to a combination of skyrmions forming complex orbits within the pinning sites and skyrmion-skyrmion scattering effects. If the skyrmions are moving over a periodic substrate, with increasing drive the Hall angle changes in quantized steps which correspond to periodic trajectories of the skyrmion that lock to symmetry directions of the substrate potential. [1] S. Muhlbauer et al Science 323 915 (2009). [2] X. Z. Yu et al. Nature 465, 901-904 (2010). [3] X.Z. Yu et al Nature Materials, 10, 106 (2011). [4] A. Fert, V. Cros, and J. Sampaio Nature Nanotechnology 8, 152 (2013).

Host: Michel Pleimling

October 17

Tuesday 2:00pm
304 Robeson Hall

Special CSB Seminar

(poster)

Dr. Charles Reichhardt
Los Alamos National Laboratory

Jamming and Clogging of Passive and Active Particles in Disordered Media

There has been tremendous growth in studying nonequilibrium systems of particle assemblies which can exhibit jamming effects. In general jamming has been studied in the absence of quenched disorder. Here we examine the dynamics of active and passive matter systems interacting with random or periodic substrates and obstacle arrays, and show that it is possible to make a clear distinction between jammed systems and clogged systems. For non-active systems of particles flowing through random obstacle arrays, when the particle density is well below that at which an obstacle free system would jam, we find that the system can reach a clogged state. The clogged states can be distinguished from jammed states in that they are spatially heterogeneous, are fragile, and have a pronounced memory effect. In contrast, jammed states are much more homogeneous, robust, and have much weaker memory effects. We outline a possible scenario in which jamming is dominated by a diverging length scale associated with a critical density at point J, while clogging is associated with the coarsening of a dense area across the sample. We have also investigated clogging and jamming in active matter or self-motile particle systems. Such dynamics can effectively describe certain biological systems such as run-and-tumble bacteria or crawling cells, as well as non-biological systems such as self-driven colloids or artificial swimmers. For active matter systems driven over random disorder we find that for intermediate amounts of self-motility the system does not clog; however, for increasing self-propulsion of the particles there is a strong reduction of the mobility due to a self-clogging or self-clustering in the system that resembles the "faster is slower" effect found in certain pedestrian panic models.

Host: Michel Pleimling

October 23

Monday 4:00pm
304 Robeson Hall

(poster)



Host:

October 30

Monday 4:00pm
304 Robeson Hall

Joint CM Seminar

(poster)

Madhurima Nath
Virginia Tech Biocomplexity Institute

Statistical Mechanical Applications of Graph Dynamical Systems

Moore and Shannon's reliability polynomial can be used as a global statistic to explore the behaviour of a diffusive process on a network that represents a finite sized interacting system. It depends on both the network topology and the dynamics of the process and gives the probability that the system has a particular desired property. Due to the complexity to evaluate the exact network reliability, it has been classified as a NP-hard problem. The estimation of the reliability polynomials for large graphs is feasible using Monte-Carlo simulation. Depending on the description of the functionality, network reliability can be utilized for a number of applications ranging from epidemiology to statistical physics. For example, it serves as a measure to study the sensitivity of the outbreak of an infectious disease on a network to the structure of the network. Further, it is analogous to the partition function of a statistical mechanical system which provides insights to the interpolation between the low and high temperature limits.

Host: Uwe Täuber

November 2017
November 6

Monday 4:00pm
304 Robeson Hall

(poster)

Condensed Matter seminar. No CSB seminar scheduled.

November 9

Thursday 4:00pm
304 Robeson Hall

Special CSB Seminar

(poster)

Professor Srividya Iyer-Biswas   (Department of Physics, Purdue University)

Making the right noise

In this talk I will introduce a theoretical framework that serves as the natural representation for biochemical dynamics, and illustrate its utility in a variety of contexts.

Host: Uwe Täuber

November 13

Monday 4:00pm
304 Robeson Hall

(poster)

Condensed Matter seminar. No CSB seminar scheduled.

November 20

Monday 4:00pm
304 Robeson Hall

Holiday No Meeting

(poster)

Thanksgiving Break. No seminar scheduled.

November 27

Monday 4:00pm
304 Robeson Hall

Joint CM Seminar

(poster)

Prof. Jiangtao Cheng
Department of Mechanical Engineering, Virginia Tech

Mechanism and Universal Scaling Law for Contact Line Friction of Cassie-State Droplets on Nano-Structured Ultra-hydrophobic Surfaces

The design and optimization of micro/Nano-fluid devices or wetting-related applications necessitate the knowledge of the physical mechanisms underlying the moving contact line, which is beyond the predictive capability of the continuum theory. Here we use the molecular dynamics (MD) simulations to explore the Cassie-state wetting dynamics on nano-structured surfaces with an emphasis on the contact line friction (CLF). We find that CLF emerges as a result of the solid-liquid interactions and liquid-liquid interactions, which are termed as solid-liquid retarding and viscous damping respectively. Solid-liquid retarding is ascribed to the work of adhesion and viscous damping is related to the depletion of liquid density near the solid-liquid interface. With gradually decreased solid-liquid contact fraction (larger apparent contact angle), solid-liquid retarding remains unchanged while viscous damping is increased. A universal scaling law is derived to describe the CLF on ultra- hydrophobic surfaces before the Cassie-to-Wenzel transition. It is suggested that the non-sticking feature (smaller CLF) of nano-structured ultra-hydrophobic surfaces is indeed caused by the lowered fraction of the solid-liquid contact. Our results have revealed the genesis of CLF from an ab initio perspective and have demonstrated the effects of surface structures on dynamic wetting by justifying the dominant role of solid fraction in lowering CLF.

Host: Shengfeng Cheng

December 2017
December 4

Monday 4:00pm
304 Robeson Hall

Joint CM Seminar

(poster)

Yanfei Tang
Department of Physics, Virginia Tech

Molecular Dynamics Simulations of Drying Colloidal Films

Evaporating solvent out of a colloidal suspension is an important technology to fabricate thin-film materials. The structure of the deposited film highly depends on the drying process. For example, when the solvent evaporates fast the colloidal particles can accumulate near the receding liquid-vapor interface, a phenomenon known as skin-layer formation. In this talk, I will discuss our recent molecular dynamics simulations of a drying suspension containing a binary mixture of colloidal nanoparticles. A distinguishing feature of our work is that the solvent is modelled explicitly as a Lennard-Jones liquid, which allows us to explore the effects of solvent on the structure of the drying film. We have confirmed a recently-found “small-on-top” stratification phenomenon in which the smaller nanoparticles form a layer closer to the liquid-vapor interface and on top of the layer of the larger nanoparticles. However, our results show that density and temperature gradients can develop in the solvent during drying and these gradients have profound effects on stratification that are not revealed in previous work based on an implicit solvent model. I will also talk about theory and simulations of a nanoparticle at a liquid-vapor interface, which clarifies the physical foundation of the implicit solvent model used in literature in which the liquid-vapor interface is modeled as a potential barrier or well.

Host: Shengfeng Cheng

December 11

Monday 4:00pm
304 Robeson Hall

Joint CM Seminar

(poster)

Prof. Robert S. Hoy
University of South Florida

Thermalized soft glassy rheology

As far back as the work of Ree and Eyring in the 1950s, plastic deformation of solids has been modeled as being controlled by multiple relaxation processes with different characteristic rates. The energy landscape picture of Stillinger et. al. allows it to be simultaneously viewed as being controlled by energy minima of broadly distributed depths and statistical weights. Modern theories of plasticity such as soft glassy rheology (SGR) and shear transformation zones (STZ) connect these two ideas, viewing amorphous solids as being composed of spatially localized "plastic zones": basins in systems' energy landscapes with characteristic relaxation rates determined by the depths of their associated energy barriers. Recent studies have shown that the STZ and SGR theories are thermodynamically consistent and therefore amenable to rigorous nonequilibrium- thermodynamic treatment. However, a particularly important open problem is determining the degree to which plastic flow is thermalized, i.e. the degree to which the "slow" degrees of freedom corresponding to plastic zone configurations are in equilibrium with the "fast" degrees of freedom corresponding to localized motions of systems' constituent atoms and molecules. I will describe a recently developed continuous formulation of SGR theory corresponding to the infinite-system-size limit and including fully thermalized strain degrees of freedom, and show that it enables prediction of many physical properties that cannot be straightforwardly accessed within the standard, discrete-zone formulation. Most notably, it allows direct calculation of systems' nonequilibrium, strain-history-dependent positions on their energy landscapes, which in turn allows standard statistical mechanics to be employed for followup calculations. These in turn allow straightforward quantitative analyses of model amorphous systems' heterogeneous yielding dynamics and nonequilibrium deformation thermodynamics. As a demonstration of the method, I will illustrate the very different characters of fully-thermal and nearly-athermal plasticity by comparing results for thermalized vs. nonthermalized strain degrees of freedom and plastic flow rules.

Host:Shengfeng Cheng

Center for Soft Matter and Biological Physics Seminars

Spring 2017

Organizer: Vinh Nguyen


These seminars occur on Monday's at 4:00pm in 304 Robeson Hall (unless otherwise indicated).

Refreshments are served before the seminars

January 2017
January 16

Monday 4:00pm
304 Robeson Hall

 

Martin Luther King Holiday. No talk scheduled.

January 20

Friday 2:30pm
210 Robeson Hall

Special Colloquium

(poster)

Dr. Rana Ashkar  
Oak Ridge National Lab

Towards Switchable Topography and Tunable Fluctuations in Biomimetic Lipid Bilayers

Lipid bilayers are ubiquitous in nature; they form the backbone of cell membranes and are responsible for vital biological processes, including the regulation of protein functions and the exchange of nutrients in and out of the cell. In order to understand the function of lipid membranes and fully utilize their potential in biotechnologies, it is imperative to investigate the factors that control essential membrane processes, such as domain formation and protein recruitment. While decades of research have remarkably furthered our understanding of lipid membranes, the role of local curvature and nanoscale fluctuations remain to be the least understood. In this talk, I will present recent progress in developing a platform for topographic control of lipid bilayers, using thermoresponsive nanostructured polymer scaffolds, to explore curvature-mediated membrane phenomena, such as domain reorganization and switchable protein binding. I will also discuss ongoing experimental and computational studies on tuning nanoscale membrane fluctuations and investigating their effects on protein binding/insertion mechanisms.


Host:Vicki Soghomonian

January 27

Friday 2:30pm
210 Robeson Hall

Special Colloquium

(poster)

Dr. Liheng Cai  
Harvard University

Soft matter approaches to biology: A tale of mucus hydrogel in human lung defense

Biological systems are featured by their ability to defend themselves against external challenges. While these defense mechanisms are extensively studied in the context of life sciences, their physical aspects have largely been overlooked, although they are implicated in many important biological processes. Using knowledge and tools in soft matter and physical science, we can not only provide unique insights to biological questions that directly impact healthcare, but also in turn create new directions that broaden the scope of soft matter research. In this talk, I will discuss how soft matter physics can help understand a long-standing question for human lung defense: Why can the human lung fight against numerous inhaled infectious particulates and maintain functional through its lifetime? Contrary to the widely accepted dogma that the epithelium of human airway is lined by a physiological liquid, I discover that it is covered by a gel-like polymer brush. This brush layer protects the epithelium from small, infectious particulates that sneak through mucus hydrogel. Moreover, the brush layer enables efficient clearance of mucus out of lung by stabilizing itself against osmotic compression from the mucus. Furthermore, I will show that chronic osmotic stress from diseased mucus likely affects airway remodeling. It slows down the proliferation of epithelial cells, and more strikingly, directs the differentiation of epithelial cells to mucus producing cells, a hallmark of mucus obstructive lung diseases such as asthma, chronic obstructive pulmonary disease (COPD) and cystic fibrosis. These findings suggest that the osmotic pressure of mucus hydrogel provides a unified measure of pathogenesis of mucus obstructive lung diseases, and open new directions for the development of novel therapeutics to teat these diseases.



Host:Will Mather

February 2017
February 6

Monday 4:00pm
145 Goodwin Hall

Special Colloquium

(poster)

Dr. Jejoong Yoo  
University of Illinois Urbana-Champaign

The physics of chromosomes: from DNA loops to nucleus-scale structures

Human chromosomes in a cell's nucleus have long been thought to behave like encapsulated random polymers. Recent experiments, however, have shown that chromosomes organize into well-defined three-dimensional structures thereby controlling the cell's state. The very presence of such structures implies existence of yet unknown physical interactions that de-fine the free energy of chromosomes in a cell's nucleus and govern the free-energy change during processes such as cell development and cancer. Using high-through put molecular dynamics simulations and single-molecule experiments, we determined the free energy landscape of the fundamental structural unit of chromosome organization-a nucleosome, which is a fragment of DNA wrapped around a protein core. At a single nucleosome level, we found the nucleotide sequence of DNA and its CpG methylation to uniquely determine the orientation of the DNA loop with respect to the protein core, offering a simple physical mechanism of controlling DNA accessibility to DNA reader machinery. At a multi-nucleosome level, we found the AT content of the DNA sequence and the methylation of either DNA or the nucleosome proteins to govern association of nucleosomes into clusters. Overall, our findings suggest that intrinsic properties of DNA may play a considerable role in defining the free energy landscape and the nucleus-scale organization of chromosomes.


Host: Shengfeng Cheng

February 13

Monday 4:00pm
145 Goodwin Hall

Special Colloquium

(poster)

Dr. Maxim Lavrentovich  
University of Pennsylvania

Putting Patterns on Spheres: Pollen Grains and Cholesteric Liquid Crystal Shells

Insect egg shells, mite carapaces, pollen grain surfaces, and many other biological materials exhibit intri-cate surface patterns including stripes, spikes, pores, and ridges. Beautiful surface patterning occurs in cho-lesteric liquid crystals (CLCs), as well. I will discuss how to understand such surface patterning as a phase transition to a spatially modulated state on a sphere. On infinite, flat surfaces, the patterned states consist of uniform strips or hexagons. On the sphere, however, the patterns are more varied because they must have topological defects, which may be accommodated in many ways. In these phase transition models, the patterns have a characteristic wavelength, which has important consequences for the thermal fluctua-tions in the system, including a fluctuation-driven qualitative change in the behavior near the phase transi-tion. Focusing on spherical pollen grain development, I will describe what sets the characteristic wave-length, the influence of fluctuations, and how our simple model may be tested experimentally. CLCs also have an intrinsic, characteristic wavelength associated with the twist in the stacking of their constituent molecules. These compounds also exhibit phase transitions to spatially modulated states, over which we have good experimental control. I will discuss the behavior of spherical CLC shells and their surface patterns by drawing insights from experiments and simulations. We will end with a discussion of the nu-cleation and growth of such patterns.


Host: Vicki Soghomonian

February 20

Monday 4:00pm
145 Goodwin Hall

Special Colloquium

(poster)

Dr. Edward Banigan  
Northwestern University

Emergent length scales of the cell nucleus

The interiors of living cells are highly organized, and this internal order is critical to robust cell biological function. However, it is not well understood how few-nanometer-sized proteins dynamically generate spatiotemporal order over length scales spanning several nanometers to tens of microns. The cell nucleus and the genome contained within exemplify this problem: the same ~1 meter of DNA is packed into each ~10 micron cell nucleus, and yet, different cells differ dramati-cally in function and activity. Thus, biological function is largely governed by genome organization, and it is critical to establish biophysical mechanisms for measuring length in the nucleus. I will discuss several models for DNA on differ-ent length scales that reveal different physical mechanisms underlying intracellu-lar organization. Specifically, I will discuss experimentally motivated models for non-equilibrium DNA twist dynamics, spatial partitioning of catalytic macromol-ecules, and whole nuclear deformation. These models show how DNA mechan-ics, biomolecule diffusion and catalytic activity, and nuclear geometry and archi-tecture each determine distinct lengths for cellular phenomena on multiple scales. Together, these models illustrate how mechanical and biochemical effects at small scales may be integrated to lead to emergent phenomena that control cell nuclear and genome organization.


Host: Shengfeng Cheng

February 27

Monday 4:00pm
304 Robeson Hall

 

Faculty Meeting. No talk scheduled.

March 2017
March 6

Monday 4:00pm
304 Robeson Hall

 

Spring Break Week. No talk scheduled.

March 13

Monday 4:00pm
304 Robeson Hall

 

APS March Meeting. No talk scheduled.

March 20

Monday 4:00pm
304 Robeson Hall

Joint Condensed Matter Seminar

(poster)

Prof. Christian Ray  
University of Kansas

Regulation of Bacterial Growth in Discrete Steps and Structured Lineages


Prodigious growth is a defining feature of bacterial life. Systems of networks change growth rates in bacteria dynamically in response to changing environments. This includes surviving stresses such as antibiotics and starvation via slowing of growth. Phenotypic heterogeneity allows a small fraction of cells to enter growth arrest by randomly crossing an internal molecular threshold, a form of bet-hedging that allows the population of cells to survive even if future environments are inhospitable to actively growing cells. Therapeutic targeting of growth arrested bacteria is a critical emerging strategy during the current rising problem of antibiotic resistance and the continued challenge of treating stubborn, chronic infections. We are taking a multifaceted approach that has opened new avenues for understanding persister formation with time-lapse microscopy and computational models. Our experiments have shown a novel persister-forming condition. In this condition, bacterial cells undergo discrete shifts in growth rate that correspond to fast molecular reshuffling events. Analysis of cellular lineages in these conditions demonstrates that cellular transitions into growth arrest are not statistically independent: closely related cells are more likely to transition together. Computational models reproduce lineage correlations with a remarkably simple set of assumptions. We discuss implications of the novel persister phenotype for pathogens surviving in changing environments, and new questions raised by our results.

Host: Will Mather

March 27

Monday 4:00pm
304 Robeson Hall

Joint Condensed Matter Seminar

(poster)

Prof. Katie Mitchell-Koch  
Dept. of Chemistry, Wichita State University

How do bio molecular surfaces influence small molecule dynamics?


Our group has been using molecular dynamics simulations to study the interactions and dynamics of small molecules-solvent and substrate-at the surfaces of biomolecules. Simulations of aldehyde and alcohol substrates in the presence of the aldehyde reductase YqhD have revealed a substrate access channel that is not evident in the crystal structure. Collaborative work with Prof. Vinh Nguyen (Virginia Tech) has investigated the hydration layer dynamics around DPC micelles. Simulations coupled with GHz-to-THz measurements have shown that the slowest waters are hydrogen-bonded to the anionic phosphatidyl oxygen's, while only a modest slowdown in hydration dynamics is observed around the cationic trimethylamine groups of the zwitterionic lipids. Hydration dynamics around the enzyme Candida Antarctica lipase B (CALB) have been simulated, indicating heterogeneity in protein-water hydrogen bond lifetimes at the surface. CALB is an enzyme that is also used in organic solvents for the production of fine chemicals such as flavoring agents. Work is underway to characterize the solvation layer of CALB in organic solvents, connecting solvent dynamics to protein structure and dynamics.

Host: Vinh Nguyen

April 2017
April 3

Monday 4:00pm
304 Robeson Hall

Joint Condensed Matter Seminar

(poster)

Prof. Ting Lu  
University of Illinois at Urbana-Champaign

Bottom-up Assembly of Microbial Communities: Modeling, Analysis and Engineering


Microbes are of fundamental importance to human health, environment and agriculture. To ultimately exploit their potential for various purposes, a fundamental challenge is to decipher the basic rules of microbial community organization that is heterogeneous in space and time. My lab aims to address the challenge using a bottom-up approach that combines biophysical modeling with experimental synthetic biology. Recently, we developed a computational platform that enables individual-based simulation of microbial communities across multiple scales. We also explored how the modes of cellular social interaction and the spatial scale of interaction contribute to microbial assemblages using the platform, both of which were subsequently determined using experimental ecosystems. Using engineered cellular interactions, we further demonstrated the utility of synthetic microbial consortia for metabolic engineering applications. Our studies provide insights into the organization of complex microbial communities and illustrate the potential of synthetic communities for practical goals.

Host: Will Mather

April 10

Monday 4:00pm
304 Robeson Hall

Joint Condensed Matter Seminar

(poster)

Prof. Jiadong Zang  
University of New Hampshire

Skyrmions in Helimagnets

A Skyrmion is a topological configuration in which local spins wrap around the unit sphere for an integer number of times. After decades of theoretical discussions in high energy physics, it has been recently observed in a series of non-centrosymmetric chiral magnets. Several experiments by neutron scattering or transmission electron microscopy confirm the presence of skyrmions in a crystalline state at a finite window of magnetic field and temperature. Skyrmions show various novel properties inherent to its topological nature, such as topological Hall effect, topological stability, and ultralow critical current for movement, which offer the skyrmion promising prospects for next generation spintronic devices and information storage. In this talk, I will explain the physical origin of skyrmions in chiral magnets, and discuss our recent progress on the skyrmion physics, including skyrmions in confined geometries, new skyrmion materials, and electron transports of the skyrmion materials.

Host: Uwe Täuber

April 17

Monday 4:00pm
304 Robeson Hall

 

Condensed Matter Seminar. No CSB seminar scheduled.

April 24

Monday 4:00pm
304 Robeson Hall




No talk scheduled.

May 2017
May 1

Monday 4:00pm
304 Robeson Hall

 

Condensed Matter Seminar. No CSB seminar scheduled.

May 8

Monday 4:00pm
304 Robeson Hall

 

Final Exam Week. No talk scheduled.

June 2017
June 2

Friday, 1:30pm
304 Robeson Hall

Special Date / Time

(poster)

Prof. P. S. Krishnaprasad  
University of Maryland

Subriemannian geometry and finite time thermodynamics

Subriemannian geometry has its roots in optimal control problems. The Caratheodory-Chow-Rashevskii theorem on accessibility also places the subject in contact with an axiomatic approach to macroscopic thermodynamics. Explicit integrability of optimal control problems in this context is of interest. As in the case for integrability questions in mechanics, here too symmetries and conservation laws have a key role. In this talk we discuss model problems and results pertaining to such questions in isolated systems and ensembles of interacting systems. Of special interest is the problem of determining thermodynamic cycles that draw useful work from fluctuations. This work is in collaboration with PhD student Yunlong Huang, and Dr. Eric Justh of the Naval Research Laboratory.

Host: Uwe Täuber