FSML Lecture Series – Anoushka Bhutani: Foundation Model for Molecular Design
2636 GGBA 2350 Hayward St, Ann Arbor, MI, United StatesFoundation Model for Molecular Design
Foundation Model for Molecular Design
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
When big neural networks are not enough: physics, multi-fidelity and kernels
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
Identifying coherent structures and controlling turbulent flows through deep learning