Weak interactions in CO2 reduction shape catalyst performance, refining computational models and improving predictions for ...
Researchers from the University at Buffalo, Central South University, Shandong Normal University, Sungkyunkwan University, TU ...
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Tech Xplore on MSN268 new alloys: AI speeds up search for aerospace materialsSkoltech and MIPT researchers have sped up the search for high-performance metal alloys for the aerospace industry, ...
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Tech Xplore on MSNUnlocking safer batteries: Study uncovers key insights into electrolyte materials for all-solid-state batteriesA joint computational and experimental study has examined how adding certain dopants to a solid electrolyte could improve its ...
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 ...
Caltech researchers demonstrated a new method to use light to control active matter—a kind of material made up of individual ...
Recently, a joint research team developed a novel quantum-classical computing scheme for designing photochromic ...
In November architects, designers, digital fabricators, and innovators gathered in Calgary, Canada, for the 2024 Association ...
A new quantum-classical approach speeds up the discovery of photochromic materials. A joint research team has developed an ...
The integration of quantum chemistry and machine learning in this study accelerates the discovery of photochromic materials, ...
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 ...
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