activity
20102025
most citedDynamic reconfiguration of human brain networks during learning

1.9k citations · 9k across the 135 of their papers we have counts for

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Showing cond-mat.softShow all

8 papers · 1 filter

cond-mat.soft2020

Crystallinity characterization of white matter in the human brain

Erin G. Teich, Matthew Cieslak, Barry Giesbrecht +4

White matter microstructure underpins cognition and function in the human brain through the facilitation of neuronal communication, and the non-invasive characterization of this st…

cond-mat.soft2020

Crystalline shielding mitigates structural rearrangement and localizes memory in jammed systems under oscillatory shear

Erin G. Teich, K. Lawrence Galloway, Paulo E. Arratia +1

The nature of yield in amorphous materials under stress has yet to be fully elucidated. In particular, understanding how microscopic rearrangement gives rise to macroscopic structu…

cond-mat.soft2019★ 3 cited

Design of Large Sequential Conformational Change in Mechanical Networks

Jason Z. Kim, Zhixin Lu, Danielle S. Bassett

From the complex motions of robots to the oxygen binding of hemoglobin, the function of many mechanical systems depends on large, coordinated movements of their components. Such mo…

cond-mat.soft2017★ 199 cited

Network Analysis of Particles and Grains

Lia Papadopoulos, Mason A. Porter, Karen E. Daniels +1

The arrangements of particles and forces in granular materials have a complex organization on multiple spatial scales that ranges from local structures to mesoscale and system-wide…

cond-mat.soft2016★ 61 cited

Topological and geometric measurements of force chain structure

Chad Giusti, Lia Papadopoulos, Eli T. Owens +2

Developing quantitative methods for characterizing structural properties of force chains in densely packed granular media is an important step toward understanding or predicting la…

cond-mat.soft2016★ 111 cited

Evolution of network architecture in a granular material under compression

Lia Papadopoulos, James Puckett, Karen E. Daniels +1

As a granular material is compressed, the particles and forces within the system arrange to form complex heterogeneous structures. Force chains are a prime example and are thought…

cond-mat.soft2014★ 136 cited

Extraction of Force-Chain Network Architecture in Granular Materials Using Community Detection

Danielle S. Bassett, Eli T. Owens, Mason A. Porter +2

Force chains form heterogeneous physical structures that can constrain the mechanical stability and acoustic transmission of granular media. However, despite their relevance for pr…

cond-mat.soft2011★ 124 cited

The Influence of Network Topology on Sound Propagation in Granular Materials

Danielle S. Bassett, Eli T. Owens, Karen E. Daniels +1

Granular materials, whose features range from the particle scale to the force-chain scale to the bulk scale, are usually modeled as either particulate or continuum materials. In co…