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 ...
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 ...
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 ...
Electro- and photocatalytic materials are central to enabling sustainable energy conversion processes such as water splitting, CO2 reduction, oxygen ...
The team developed a computational framework using robotic path planning algorithms to rapidly identify optimal composition gradients between dissimilar materials. The framework enables the creation ...
Dr. Sharlotte Kramer is a Distinguished Member of the Technical Staff at Sandia National Laboratories and researcher in Sandia’s Structural Mechanics Laboratory. She first became involved in HPC-AI in ...
Train professional engineers in advanced methods of engineering analysis and modeling for exploration, simulation and optimization of mechanical engineering systems. Develop theoretical understanding ...
Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...
TACC is helping students master leading technologies such as AI through a series of academic courses aimed at thriving in a changing computational landscape. TACC's Joe Stubbs lectures on intelligent ...
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