Weak interactions in CO2 reduction shape catalyst performance, refining computational models and improving predictions for ...

Researchers at Argonne National Laboratory have developed an AI-driven automated material laboratory, Polybot, an autonomous ...

To achieve this, the following issues in current computational materials science must be resolved. The first target is to build an appropriate model of the real system in cyberspace. In computational ...

Viridien, an advanced technology and digital company, and Materials Nexus Ltd. (trading as Matnex), a leader in AI-driven materials discovery, are partnering to rapidly scale Matnex’s computational ...

Lehigh University researchers are pioneering AI-driven advancements in materials science with an $800,000 grant from the U.S. Department of Energy. Led by Dr. Chinedu Ekuma, the project focuses on ...

It's necessary to explore multiple computational strata—including those yet to be discovered—that will underpin the creation ...