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This work presents a new technique for the fabrication self folding origami structures for use in robotics and metamaterial applications. The technique builds upon prior work using liquid crystal…
Date
May 3rd, 2024 Speaker
David C. Bershadsky, UG '24 (A8DB0823) Department
Electrical and Computer Engineering
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Machine learning (ML) provides a great opportunity for the construction of models with improved accuracy for classical molecular dynamics (MD). However, the accuracy of a machine learning trained…
Date
May 3rd, 2024 Speaker
Zhiyu Shi, GS (7ACD870A) Department
Mechanical and Aerospace Engineering
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Developing Machine Learning Potentials for CO2
Date
July 27th, 2021 Speaker
Reha Mathur Department
Department of Chemical and Biological Engineering
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