md-simulations NeuqIP by Simon Batzner from Harvard University. pde Convolutional Neural Operators for Solving PDEs by Dr. Emmanuel de Bézenac (ETH Zurich) Continuous PDE Dynamics Forecasting with Neural Fields by Yuan Yin (Sorbonne Université) and Matthieu Kirchmeyer(Criteo AI Lab & Sorbonne Université) Neural Fields for PDEs by Dr. Peter Yichen Chen (MIT), Honglin Chen and Rundi Wu (Columbia). Machine Learning for CFD by Gideon Dresdner (ETH Zurich) PDE-Refiner by Phillip Lippe (MSR AI4Science/UvA) ml-chemistry DL for Density Functional Theory by Dr. Tianbo Li from SEA AI Lab, Singapura. ML for Chemistry by Dr. Marwin Segler from Microsoft Research Open Catalyst Project by Dr. Muhammed Shuaibi from FAIR, Meta AI. ml-materials AI for Materials Science by Dr. Lars Kotthoff (University of Wyoming) transfer-learning Cross-Modal Fine-Tuning by Junhong Shen from Carnegie Mellon University simulations Differentiable Physics by Benjamin Holzschuh from TU Munich
