MICDE-Aerospace Engineering Seminar: Jan Janssen, Scientist, Max Planck Institute
Cooley Building - 906How to use machine learning in the discovery and design of materials for the future?
How to use machine learning in the discovery and design of materials for the future?
Mahmoud Komaiha (Biomedical Engineering) & Zhucong Xi (Materials Science & Engineering)
Computational Science and High-Performance Computing at Lawrence Livermore National Laboratory
Formally Verified Numerical Methods
Parthenon: a flexible framework for rapid development of performance portable multiphysics codes
Alexander Coppeans (Aerospace Engineering): Aerodynamic Shape Optimization with Curved Mesh Adaptation
Heaviside Composite Optimization, a new paradigm of optimization
Liuyun Xu (Civil Engineering): Adaptive Deep Learning-Powered Multi-fidelity Stratified Sampling for Efficient Failure Analysis of Nonlinear Dynamic Systems
Jasmin Lim (Aerospace Engineering): A Hybrid Surrogate Modeling Framework for Digital Twins of Nuclear Energy Systems
Baudouin Fonkwa Kamga (Mechanical Engineering): Numerical simulation of the collapse of a cavitation bubble near a deformable solid surface
Xinhai Hou (Bioinformatics): Scalable foundation model training for computational pathology
Nathaly Villacis (Mechanical Engineering): Unraveling Rotator Cuff Tendon Tear Growth Mechanisms with Full-Volume Strains and Data-Driven Modeling
Doruk Aksoy (Aerospace Engineering): Incremental Tensor Decompositions for Machine Learning and Bayesian Inference