The editors at Nature Communications have selected our paper "Scientific multi-agent reinforcement learning for wall-models of turbulent flows" to be featured on the Editors' Highlights webpage.
Our paper "Efficient and Scalable Software Framework for Bayesian Uncertainty Quantification and Stochastic Optimization" has been published in Computer Methods in Applied Mechanics and Engineering [PDF].