Workshop on Topology: Identifying order in complex systems

Date:
Apr
03
2013

Workshop on Topology: Identifying Order in Complex Systems

Towards a Covariant Theory of Coarsening via Emergent Symmetries
Stephen Watson
4:30pm|David Rittenhouse Laboratory, A8

The scaling symmetries of both static and dynamic critical phenomena naturally yield associated power laws and scaling functions. Going beyond simple scalings, we reveal how general emergent symmetries control the coarsening statistics of non...

Apr
03
2013

Workshop on Topology: Identifying Order in Complex Systems

Properties of Cellular Microstructures: Polycrystals, Foams, and their Idealizations
David Srolovitz
1:30pm|David Rittenhouse Laboratory, 4N12

Cellular structures are compact domains joined along codimension 1 interfaces to fill space. Such cellular microstructures are ubiquitous in materials science and biology. I will briefly review the basic theory of cellular structure evolution via...

Mar
06
2013

Workshop on Topology: Identifying Order in Complex Systems

The Optimality of the Interleaving Distance on Multidimensional Persistence Modules
5:00pm|S-101

Persistent homology is a central object of study in applied topology. It offers a flexible framework for defining invariants, called barcodes, of point cloud data and of real valued functions. Many of the key results of the last several years in the...

Feb
06
2013

Workshop on Topology: Identifying Order in Complex Systems

Linear Algebra over Cell Complexes: Applications to Data, Coding and Sensor Networks
Justin Curry
5:00pm|Proteomics Bldg. 120, Rutgers, The State University of New Jersey

In this talk we introduce a discrete and computable version of a mathematical technique known as sheaf theory. This tool provides a method for extracting qualitative topological features of data over a space, rather than of the space itself. We...

Feb
06
2013

Workshop on Topology: Identifying Order in Complex Systems

Community Structure in Networks
Mason Porter
3:30pm|Proteomics Bldg. 120, Rutgers, The State University of New Jersey

Networks arise pervasively in biology, physics, technology, social science, and myriad other areas. They consist of a collection of entities (called nodes) connected via ties, and they typically exhibit a complicated mixture of random and structured...

Feb
06
2013

Workshop on Topology: Identifying Order in Complex Systems

Visualizing and Exploring Molecular Simulation Data via Protein Energy Landscape metaphor
Yusu Wang
2:00pm|Proteomics Bldg. 120, Rutgers, The State University of New Jersey

The rapid improvements in computational power have enabled researchers to produce large amounts of molecular simulation data. Hence there is a pressing need to be able to analyze such data to enhance our understanding of molecular dynamics. However...