An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.

Ansys SimAI is a physics-agnostic and cloud-enabled computer-aided engineering tool that predicts performance of complex ...

"Improving hurricane modeling with physics-informed machine learning." ScienceDaily. ScienceDaily, 19 November 2024. <www.sciencedaily.com / releases / 2024 / 11 / 241119132424.htm>.

Machine learning typically progresses via trial and error, so you’d need just the right kind of data — and a lot of it — to get useful information. A paper by Huang and collaborators at Google Quantum ...

"If you have a mature threat modeling program and you're using a tool like IriusRisk, you can also now handle machine learning. So the people who are already doing the best are going to do even ...

Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential. Nature Chemistry, 2024; DOI: 10.1038/s41557-023-01427-3 ...

More information: Yaolong Zhang et al, Universal machine learning for the response of atomistic systems to external fields, Nature Communications (2023). DOI: 10.1038/s41467-023-42148-y ...