A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...
Computational homogenization has emerged as an indispensable tool for bridging the gap between the microscale heterogeneity of composite materials and their macroscopic behaviour. By employing ...
Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
A joint research team from NIMS and University of Tsukuba have developed an autonomous AI network technology that allows multiple autonomous AI systems to efficiently discover new materials by ...
The clean energy transition requires new means to transport energy that are less reliant on burning fossil fuels. This requires new materials to catalyze reactions to store and extract energy from ...
Researchers at the University of Jyväskylä (Finland) have led an international collaboration to study how semiconductor materials enable the production of green hydrogen through ...
Faculty conducting research in these areas focus on synthesis of novel materials, the use of novel materials for separations and coatings, computational modeling, and simulation of chemical and ...
Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even ...
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