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Physics-informed Reinforcement Learning for Expensive Combinatorial Optimization: A Case Study on Nuclear Fuel Design
Versatile Gaussian Process and Bayesian Optimization for Multiscale Computational Materials Science Applications
Low-rank Methods for Radiation Transport Calculations
Lessons in Nonlocal Modeling: Nonlocal Calculus, Operators, Properties, and Convergence
Communication-avoiding Sparse Direct Methods for Solving System of Linear Equations (LU)
An Overview of Discontinuous Galerkin (DG) Methods for Elliptic Partial Differential
Chorin Projection Methods for Stochastic Stokes Equations
The Landau Collision Operator
Big Data Stream Analytics and Online Metric Learning
Dynamic Mode Decompositions for Control Affine Systems
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