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20242026
most citedNonequilibrium Theory for Adaptive Systems in Varying Environments

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cond-mat.stat-mech2026

Fluctuation-Response Design Rules for Nonequilibrium Flows

Ying-Jen Yang, Ken A. Dill

Biological machines like molecular motors and enzymes operate in dynamic cycles representable as stochastic flows on networks. Current stochastic dynamics describes such flows on f…

cond-mat.stat-mech20261 cited

Nonequilibrium Theory for Adaptive Systems in Varying Environments

Ying-Jen Yang, Charles D. Kocher, Ken A. Dill

Biological organisms are adaptive, able to function in unpredictably changing environments. Drawing on recent nonequilibrium physics, we show that in adaptation, fitness has two co…

math.AP2025

Asymptotic behavior of solutions to a singular chemotaxis system in multi-dimensions

Qiang Tao, Dehua Wang, Ying Yang +1

In this paper, we investigate the optimal large-time behavior of the global solution to a singular chemotaxis system in the whole space with . Assuming that t…

cond-mat.stat-mech2025

A Principled Basis for Nonequilibrium Network Flows

Ying-Jen Yang, Ken A. Dill

The great power of EQuilibrium (EQ) statistical physics comes from its principled foundations: its First Law (conservation), Second Law (variational tendency principle), and its Le…

cond-mat.stat-mech2025

Deriving the Forces of Nonequilibria from Two Laws

Ying-Jen Yang, Ken A. Dill

Non-EQuilibrium (NEQ) statistical physics has not had the same general foundation as that of EQuilibrium (EQ) statistical physics, where forces are derived from potentials such as…

q-bio.NC2024

Maximum Caliber Infers Effective Coupling and Response from Spiking Networks

Kevin S. Chen, Ying-Jen Yang

The characterization of network and biophysical properties from neural spiking activity is an important goal in neuroscience. A framework that provides unbiased inference on causal…