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Extracting Extra Accuracy Through Post-Processing
Connecting Theory to Experiment for Chemical Mechanisms and Chemical Kinetics. Release of the newly developed CheKiPEUQ software for Bayesian Parameter Estimation
Numerical Methods for Optimal Control Problems
The CompFUSE SciDAC-4 project: Applied math and computational challenges
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
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