Machine learning takes materials modeling into new era. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 07 / 230707111625.htm ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...

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

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 Journal ...

image: Snapshot of a deep learning simulation of more than 10,000 beryllium atoms. The distribution of electrons in this material is visualized as red (delocalized electrons) and blue (electrons ...

Researchers develop new machine learning method for modeling of chemical reactions Date: March 7, 2024 Source: Carnegie Mellon University Summary: Researchers have used machine learning to create ...

They could then train a machine learning model to predict properties of new quantum systems. “The advantage they create is a quantum map between [quantum] inputs and [quantum] outputs, both of which ...

Researchers from the Center for Advanced Systems Understanding (CASUS) at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) in Görlitz, Germany, and Sandia National Laboratories in Albuquerque, New ...