Machine learning takes materials modeling into new era. ScienceDaily . Retrieved July 25, 2025 from www.sciencedaily.com / releases / 2023 / 07 / 230707111625.htm ...

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 ...

With the addition of machine learning capabilities, MMM isn’t just making an ordinary comeback—it’s at the forefront of a marketing revolution. Moving Into The Future With MMM ...

Using a hybrid of machine learning and existing forecasting tools, a model led by Google called NeuralGCM successfully harnessed AI to conventional atmospheric physics models to track decades-long ...

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 ...