In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
A joint research team from NIMS, Tokyo University of Science, and Kobe University has developed a new artificial intelligence ...
A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...
When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...
As data science started to develop as a distinct academic subject area, she became very interested in it and the artificial intelligence, machine learning, and computational aspects of computer ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Modeling and creating simulations are key skills in any math, science or engineering profession. That’s why we’ve created a unique, interdisciplinary computational science minor. This minor gives ...
Material science, at its core, is an interdisciplinary field focusing on the discovery and design of new materials. It combines elements of physics, chemistry and engineering to understand and ...
“We are immensely proud of School of CSE and CSE programs graduates in the Class of 2025,” said Haesun Park, Regents’ ...
The Department of Chemistry and Materials Science is looking for: ...
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