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Scalable machine learning accelerated topology optimization for additive manufacturing
A new implicit solver for semiconductor models
BlueJeans Webinar: Lessons Learned of Directive-Based Programming Models for Accelerators
A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization and Reinforcement Learning
CANCELED: The Universe in a Computer: How Mathematical and Numerical Methods are Essential
A Domain Decomposition Model Reduction Method for Linear Convection-Diffusion Equations with Random Coefficients
Adaptive construction of neural networks using nonconvex penalization
A machine-learning checkpoint/restart algorithm for particle-in-cell simulations.
Finite element methods for nonlinear, dispersive equations
Maths opportunities in first-principles Quantum Monte Carlo and QMCPACK
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