GraphBNC: Machine Learning‐Aided Prediction of Interactions Between Metal Nanoclusters and Blood Proteins. Advanced Materials, 2024; DOI: 10.1002/adma.202407046 ...

Ionic liquids (ILs) are a class of molten salts with a collection of exciting properties, which have been employed for wide-ranging applications across chemistry, biology, and materials science.

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation. The study, published in ...

More information: Sandro Wieser et al, Machine learned force-fields for an Ab-initio quality description of metal-organic frameworks, npj Computational Materials (2024).

Putting hydrogen on solid ground: Simulations with a machine learning model predict a new phase of solid hydrogen Date: April 22, 2023 Source: University of Illinois Grainger College of ...

Dan Lu, Goutam Konapala, Scott L. Painter, Shih-Chieh Kao, Sudershan Gangrade, Streamflow Simulation in Data-Scarce Basins Using Bayesian and Physics-Informed Machine Learning Models, Journal of ...