Interval Deep Learning for Uncertainty Quantification in Engineering Problems
10 Jun 2021 | Contributor(s):: Betancourt, David
Advisors: Rafi L Muhanna, B. Aditya Prakash, Chao Zhang, Abdul-Hamid Zureick, Steffen Freitag, Vladik KreinovichDeep neural networks are becoming more common in important real-world safety-critical applications where reliability in the predictions is paramount. Despite their exceptional...
Smart Finite Elements: An Application of Machine Learning to Reduced-Order Modeling of Multi-Scale Problems
21 Aug 2019 | Contributor(s):: Capuano, German
Advisors: Julian J. Rimoli, Arash Yavari, Evangelos Theodorou, Massimo Ruzzene, Claudio V. Di LeoTo design structures using state-of-the-art materials like composites and metamaterials, we need predictive tools that are capable of taking into account the phenomena occurring at different length...
Andreas E. Robertson
Andreas is a graduate student in the MINED Group whose research focuses on Process-Structure-Property (PSP) Linkages in the Mesoscale for dislocation systems. He is pursuing a Ph.D. in Mechanical...