From Theory to Application: A Practical Introduction to Neural Operators in Scientific Computing
Mar 7, 2025
Neural Networks to Accelerate Scientific Computing
Development and application of neural networks to accelerate scientific computing in areas of mechanistic simulation, parameter estimation, model selection, and optimization of materials and structures.
Jan 1, 2025
Goal-Oriented A-Posteriori Estimation of Model Error as an Aid to Parameter Estimation
Dec 1, 2022
BayesForSEIRD
Calibration of SEIRD model under uncertainty: Application of Bayesian statistics
Feb 9, 2021
Bayesian-Based Predictions of COVID-19 Evolution in Texas Using Multispecies Mixture-Theoretic Continuum Models
Nov 1, 2020