Machine learning takes materials modeling into new era. ScienceDaily . Retrieved June 2, 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 ...

Long overlooked and underestimated, glial cells – non-neuronal cells that support, protect and communicate with neurons – are ...

Please use one of the following formats to cite this article in your essay, paper or report: APA. Intellegens Limited. (2022, October 20). Responding to Regulatory Changes with Simulation Modeling and ...

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 ...

Scientists have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion.

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Brigham Young University graduate Jane Housley's research could help make a widely used wildfire modeling tool faster and ...

Nvidia Corp. today announced the release of new tools for developers working on artificial intelligence-enabled robots, including humanoids, that enable faster development cycles using simulation, blu ...

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 ...