PDE-based forward and inverse problems, Deep Neural Operator, Inverse Problems, Weighted Residuals, Generative models
Inverse materials design, PSP Chain, Deep Learning, Deep Generative Model
Inverse Material Design, Deep Neural Operator, Physics-aware Learning, Weak Residuals, Generative Modeling, Microstructure Design
Bayesian Inverse Problem, Weighted Residuals, Virtual likelihood, Variational Inference, Elastography
Random Heterogeneous Materials, Data-driven, Probabilisticsurrogate, Deep Learning, Machine Learning, High-Dimensional Surrogates, Virtual Observables.
Elastography, Uncertainty quantification, Constitutive modeling, Bayesian inverse problem
Multiphase Media, Data-driven, inverse problems, Machine learning, Generative Model, Virtual Observables
