Machine learning method maps the uncertainty of biodiversity scenarios: The Bigfoot connection ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

A computational method combining generative AI with atomistic simulations can identify promising platinum alloy catalyst structures for hydrogen fuel cells, report researchers from Science Tokyo.

With the growing emphasis on sustainable development, the demand for environmentally friendly solvents in green chemical ...

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...

Researchers from the group of theoretical physicist Hans Briegel have collaborated with NVIDIA to develop an AI method that ...

How can artificial intelligence improve the analysis of chromatographic data? Artificial intelligence (AI) is a powerful and ...

Until recently, using bibliometric methods to solve issues of publication ethics relied on a “low tech” approach involving ...