Towards a Digital Twin Framework with Uncertainty Quantification: Machine Learning, Bayesian Optimization and Model Predictive Control

Wei Chen
April 23, 2025

A (somewhat) gentle introduction to Bayesian optimization for materials

Sterling G. Baird
April 23, 2025

Panel for National Academies study “Frontiers of Statistics: 2035 and Beyond”

Panel
April 23, 2025

Parameter Subset Selection and Active Subspace Techniques for Models in Engineering, Material Science, and Biology

Ralph Smith
April 23, 2025

Combining reinforcement learning with graph convolutional neural networks for efficient design of TiAl/TiAlN atomic-scale interfaces

Houlong Zhang
April 22, 2025

Computational Statistics Meets Materials Science: Advances in UQ, OED, and SciML

Anh Tran
April 22, 2025

Latent Variable Approaches for Data-Driven Design of Heterogeneous Metamaterial Systems

Liwei Wang
April 22, 2025

Accelerated predictions of the sublimation enthalpy of organic materials with machine learning

Yifan Liu
April 21, 2025

UQ and atomistic simulations

Aleksandr Chernatynskiy
April 21, 2025