A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

A new light-based imaging approach has produced an unprecedented chemical map of the Alzheimer’s brain. Rice University researchers have produced what they describe as the first full, label-free ...

AI agents are machine learning models (e.g. Claude Opus 4.6) that have access to other software through a CLI harness (e.g.

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

The optimized process was tested on a siloxane elastomer modified with a fluorocarbon silane to enhance hydrophobicity. The resulting surface maintained superomniphobicity at up to 400% strain and ...

Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently ...

Catalysis is key to address today’s most pressing environmental and public health challenges; from pollutant degradation and clean water generation to ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...