76 citations · 116 across the 5 of their papers we have counts for
7 papers
Variational Onsager Neural Networks (VONNs): A thermodynamics-based variational learning strategy for non-equilibrium PDEs
Shenglin Huang, Zequn He, Bryan Chem +1
We propose a thermodynamics-based learning strategy for non-equilibrium evolution equations based on Onsager's variational principle, which allows to write such PDEs in terms of tw…
Predicting the unobserved: a statistical mechanics framework for non-equilibrium material response with quantified uncertainty
Shenglin Huang, Ian R. Graham, Robert A. Riggleman +3
Can far-from-equilibrium material response under arbitrary loading be inferred from equilibrium data and vice versa? Can the effect of element transmutation on mechanical behavior…
Relationships among structure, memory, and flow in sheared disordered materials
K. L. Galloway, E. G. Teich, X-g Ma +7
A fundamental challenge for disordered solids is predicting macroscopic yield from the microscopic arrangements of constituent particles. Yield is accompanied by a sudden and large…
Second-order fast-slow dynamics of non-ergodic Hamiltonian systems: Thermodynamic interpretation and simulation
Matthias Klar, Karsten Matthies, Celia Reina +1
A class of fast-slow Hamiltonian systems with potential describing the interaction of non-ergodic fast and slow degrees of freedom is studied. The parameter $\varep…
How to find the evolution operator of dissipative PDEs from particle fluctuations?
Xiaoguai Li, Nicolas Dirr, Peter Embacher +2
Dissipative processes abound in most areas of sciences and can often be abstractly written as , which is a gradient flow of the entropy . Although…
Computing diffusivities from particle models out of equilibrium
Peter Embacher, Nicolas Dirr, Johannes Zimmer +1
A new method is proposed to numerically extract the diffusivity of a (typically nonlinear) diffusion equation from underlying stochastic particle systems. The proposed strategy req…