Crowded transport within networked representations of complex

Index

Abstract

This paper presents a novel framework for studying crowded transport in complex environments using networked representations. The framework efficiently explores the interplay between geometry and crowding, providing detailed information at both individual and population levels. It identifies topological features crucial for accurate transport predictions and offers insights into designing optimal environments.

Publisher

Communications Physics

Published On

Oct 25, 2021

Authors

Daniel B. Wilson, Francis G. Woodhouse, Matthew J. Simpson, Ruth E. Baker

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