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?
Foundation Model for Molecular Design
Mahmoud Komaiha (Biomedical Engineering) & Zhucong Xi (Materials Science & Engineering)
Bio: Teresa S. Bailey is the Associate Program Director of Computational Physics in LLNL’s Weapon Simulation and Computing program. She oversees the development of multiple multiphysics simulation tools across a wide range of applications. These codes span a broad range of physics, chemistry, and engineering application space. As required, the codes are production-quality software products […]
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 cavitation near deformable solid surfaces
Xinhai Hou (Bioinformatics): Multimodal foundation model for survival analysis