A machine learning approach could allow computers to determine the electronic structure of molecules without having to use the most resource-intensive equations of density functional theory, new ...

Machine learning methods, ... Machine learning predicts nanoparticles' structure and dynamics. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2020 / 06 / 200609104305.htm.

Researchers from Michigan Tech and the University of California, Los Angeles (UCLA) are collaborating on a machine learning model that aims to break the cubic scaling barrier of quantum mechanics.

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

A research team has used a machine learning approach to investigate the evolution of shell structure for nuclei far from the stability valley. The study, published in Physics Letters B and ...

So, you’d like to patent your artificial intelligence (AI). Congratulations, it’s going be a rough one. Broadly speaking, patents can be afforded to systems, apparatuses and processes.

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

Both generative AI and machine learning use algorithms to address complex challenges, but generative AI uses more sophisticated modeling and more advanced algorithms to add a creative element ...