12 citations · 15 across the 4 of their papers we have counts for
4 papers
Banding and polarization in driven multistable materials
Sheng Huang, Daniel Hexner
We study a disordered network of bistable bonds subjected to periodic strain. The model is inspired by experiments on crumpled sheets and it features behaviors associated with glas…
Bridging statistical mechanics and thermodynamics away from equilibrium: a data-driven approach for learning internal variables and their dynamics
Weilun Qiu, Shenglin Huang, Celia Reina
Thermodynamics with internal variables is a common approach in continuum mechanics to model inelastic (i.e., non-equilibrium) material behavior. While this approach is computationa…
Statistical-Physics-Informed Neural Networks (Stat-PINNs): A Machine Learning Strategy for Coarse-graining Dissipative Dynamics
Shenglin Huang, Zequn He, Nicolas Dirr +2
Machine learning, with its remarkable ability for retrieving information and identifying patterns from data, has emerged as a powerful tool for discovering governing equations. It…
Electrostatic effect due to patch potentials between closely spaced surfaces
Jun Ke, Wen-Can Dong, Sheng-Hua Huang +5
The spatial variation and temporal variation in surface potential are important error sources in various precision experiments and deserved to be considered carefully. In the forme…