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Model predicts optimal cooling and aging for stronger, lightweight aluminum alloys
High-strength aluminum alloys are critical for making cars and planes more lightweight and fuel-efficient, but manufacturers ...
Northwestern Engineering’s Chris Wolverton has been named a fellow of the Materials Research Society for his pioneering work in computational materials science for materials design and discovery, ...
Materials informatics combines data analytics and engineering design, streamlining material development and enhancing ...
Princeton Engineering researchers are combining their expertise in chemical engineering, materials and computation to design crystalline materials that can be used to mitigate pollution or make ...
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 ...
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 ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Machine learning interatomic potentials (MLIPs) have become an essential tool to enable long-time scale simulations of materials and molecules at unprecedented accuracies. The aim of this collection ...
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