Learning Entropy Production via Neural Networks

Inferring Entropy Production from Short Experiments

(2020) Sreekanth K. Manikandan et al.   PHYSICAL REVIEW LETTERS

Machine learning the thermodynamic arrow of time

(2020) Alireza Seif et al.   Nature Physics

Quantifying Hidden Order out of Equilibrium

(2019) Stefano Martiniani et al.   Physical Review X

Irreversibility in Active Matter Systems: Fluctuation Theorem and Mutual Information

(2019) Lennart Dabelow et al.   Physical Review X

Variational Quantum Monte Carlo Method with a Neural-Network Ansatz for Open Quantum Systems

(2019) Alexandra Nagy et al.   PHYSICAL REVIEW LETTERS

Variational Neural-Network Ansatz for Steady States in Open Quantum Systems

(2019) Filippo Vicentini et al.   PHYSICAL REVIEW LETTERS

Neural-Network Approach to Dissipative Quantum Many-Body Dynamics

(2019) Michael J. Hartmann et al.   PHYSICAL REVIEW LETTERS

Quantifying dissipation using fluctuating currents

(2019) Junang Li et al.   Nature Communications

Universal and Accessible Entropy Estimation Using a Compression Algorithm

(2019) Ram Avinery et al.   PHYSICAL REVIEW LETTERS

Inferring broken detailed balance in the absence of observable currents

(2019) Ignacio A. Martínez et al.   Nature Communications

Machine learning and the physical sciences

(2019) Giuseppe Carleo et al.   REVIEWS OF MODERN PHYSICS

Mutual information, neural networks and the renormalization group

(2018) Maciej Koch-Janusz et al.   Nature Physics

Neural-network quantum state tomography

(2018) Giacomo Torlai et al.   Nature Physics

Discriminative Cooperative Networks for Detecting Phase Transitions

(2018) Ye-Hua Liu et al.   PHYSICAL REVIEW LETTERS

Machine Learning Topological Invariants with Neural Networks

(2018) Pengfei Zhang et al.   PHYSICAL REVIEW LETTERS

Machine Learning Out-of-Equilibrium Phases of Matter

(2018) Jordan Venderley et al.   PHYSICAL REVIEW LETTERS

Nonequilibrium Scaling Behavior in Driven Soft Biological Assemblies

(2018) Federica Mura et al.   PHYSICAL REVIEW LETTERS

Broken detailed balance and non-equilibrium dynamics in living systems: a review

(2018) F S Gnesotto et al.   REPORTS ON PROGRESS IN PHYSICS

Neural Network Renormalization Group

(2018) Shuo-Hui Li et al.   PHYSICAL REVIEW LETTERS

Symmetries and Many-Body Excitations with Neural-Network Quantum States

(2018) Kenny Choo et al.   PHYSICAL REVIEW LETTERS

Learning phase transitions by confusion

(2017) Evert P. L. van Nieuwenburg et al.   Nature Physics

Machine learning phases of matter

(2017) Juan Carrasquilla et al.   Nature Physics

Effective Thermodynamics for a Marginal Observer

(2017) Matteo Polettini et al.   PHYSICAL REVIEW LETTERS

Solving the quantum many-body problem with artificial neural networks

(2017) Giuseppe Carleo et al.   SCIENCE

Quantum Entanglement in Neural Network States

(2017) Dong-Ling Deng et al.   Physical Review X

Machine Learning Phases of Strongly Correlated Fermions

(2017) Kelvin Ch’ng et al.   Physical Review X

Broken Detailed Balance of Filament Dynamics in Active Networks

(2016) J. Gladrow et al.   PHYSICAL REVIEW LETTERS

Broken detailed balance at mesoscopic scales in active biological systems

(2016) Christopher Battle et al.   SCIENCE

Deep learning

(2015) Yann LeCun et al.   NATURE

Thermodynamic Uncertainty Relation for Biomolecular Processes

(2015) Andre C. Barato et al.   PHYSICAL REVIEW LETTERS

Intracellular and extracellular forces drive primary cilia movement

(2015) Christopher Battle et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Entropy production and Kullback-Leibler divergence between stationary trajectories of discrete systems

(2012) Édgar Roldán et al.   PHYSICAL REVIEW E

Noninvasive measurement of dissipation in colloidal systems

(2012) B. Lander et al.   PHYSICAL REVIEW E

Stochastic thermodynamics under coarse graining

(2012) Massimiliano Esposito   PHYSICAL REVIEW E

Nonthermal ATP-dependent fluctuations contribute to the in vivo motion of chromosomal loci

(2012) S. C. Weber et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Stochastic thermodynamics, fluctuation theorems and molecular machines

(2012) Udo Seifert   REPORTS ON PROGRESS IN PHYSICS

Effective Temperature of Red-Blood-Cell Membrane Fluctuations

(2011) Eyal Ben-Isaac et al.   PHYSICAL REVIEW LETTERS

Estimating Dissipation from Single Stationary Trajectories

(2010) Édgar Roldán et al.   PHYSICAL REVIEW LETTERS

Lower bounds on dissipation upon coarse graining

(2008) A. Gomez-Marin et al.   PHYSICAL REVIEW E