News

Data-driven time-parallelism accepted into SISC

Data-driven coarse propagation to accelerate convergence

Welcome, Yukiko Shimizu!

Excited to welcome Yuki to our lab

Paper on machine learning error models published in CMAME

Using regression to model approximate-solution errors

Joining SISC editorial board

Becoming Associate Editor

Job openings

in the areas of reduced-order modeling, scientific machine learning, high-performance computing, and uncertainty quantification

Preprint on model reduction on nonlinear manifolds using deep convolutional autoencoders now available

Using deep learning to overcome Komolgorov-width limitation