Physics-informed machine learning, Physics-constrained Bayesian neural network, Potts model, Two-point correlation, Fokker-Planck equation
Physics-constrained Bayesian neural network, Kinetic Monte Carlo, Potts model, Grain growth, Probabilistic distribution
Machine Learning, Physics-constrained neural networks, Convolutional recurrent neural networks, Finite difference, Spatial-temporal partial differential equations.
machine learning, Physics-constrained neural networks, Convolutional recurrent neural networks, Finite difference, Spatial-temporal partial differential equations.
Inverse generative design, Conditional diffusion model, composite structures, Nonlinear mechanical behaviors, Equibiaxial extension deformation
Inverse generative design, Conditional diffusion model, Composite structures, Nonlinear mechanical behaviors, Equibiaxial extension deformation
Inverse generative design, Conditional diffusion model, Composite structures, Multidirectional loading
