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How Much Can One Learn a PDE From Its Solution Data?
Filtered Anderson acceleration for nonlinear PDEs
Sparse Online Variational Bayesian Inference
Learning Stochastic Parametric Differentiable Predictive Control Policies
Nonlinear Random Dynamical Systems on Networks: a Tutorial of Basic Theory
On Projective Integration Scheme for Single and Multiple Species Gases
An Introduction to the Mathematics of Quantum Computing
Structure Preserving Neural Network Based Entropy Closures for the Boltzmann Moment
Flexible Time Integration Methods for Multiphysics Partial Differential Equation Systems
Physics-informed Reinforcement Learning for Expensive Combinatorial Optimization: A Case Study on Nuclear Fuel Design
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