Tags: Computational Mechanics

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  1. 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...

  2. 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...

  3. 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...