23 citations · 103 across the 17 of their papers we have counts for
5 papers · 1 filter
Tractable Model for Tunable Non-Markovian Dynamics
Matthew P. Leighton, Christopher W. Lynn
Non-Markovian dynamics are ubiquitous across physics, biology, and engineering. Yet our understanding of non-Markovian processes significantly lags that of simpler Markovian proces…
Decomposing Non-Markovian History Dependence
Matthew P. Leighton, Christopher W. Lynn
Non-Markovian stochastic processes are ubiquitous in biology. Nevertheless, we lack a general framework for quantifying historical dependencies. In this Letter, we propose an infor…
Coarse-graining dynamics to maximize irreversibility
Qiwei Yu, Matthew P. Leighton, Christopher W. Lynn
In many far-from-equilibrium biological systems, energy injected by irreversible processes at microscopic scales propagates to larger scales to fulfill important biological functio…
Information thermodynamics of cellular ion pumps
Julian D. Jiménez-Paz, Matthew P. Leighton, David A. Sivak
The framework of bipartite stochastic thermodynamics is a powerful tool to analyze a composite system's internal thermodynamics. It has been used to study the components of differe…
Hunting for Maxwell's Demon in the Wild
Johan du Buisson, Jannik Ehrich, Matthew P. Leighton +4
The paradox of Maxwell's demon motivated the development of information thermodynamics and the creation of nanoscale information engines. We now understand that machines such as th…