Ph.D. in Scientific Computing Student Seminars
4th floor conference room, Green Ct. 3520 Green Ct., Ann Arbor, MI, United StatesAlexander Coppeans (Aerospace Engineering): Aerodynamic Shape Optimization with Curved Mesh Adaptation
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
Abstract: Generative flow models learn a (possibly stochastic) mapping between source and target distributions. Common paradigms include diffusion models, score matching models, and continuous normalizing flows. In this talk I […]
Alex Kleb (Aerospace Engineering): Solving High Reynolds Number Flows on Cartesian Cut-cell Meshes using a Jacobian-Free Newton–Krylov Method
Alasdair Christison Gray (Aerospace Engineering): Geometrically Nonlinear Methods for High-Fidelity MDO of Very-Flexible Aircraft
Emergence and grokking in "simple" architectures
Preet Baxi (Physics): Monitoring the fidelity of the LIGO detectors
Anthony Chen (Math): Fast Summation for Geophysical Fluid Dynamics
Learn about academic opportunities and fellowships for graduate students who combine Scientific Computing with Applied Physics, Astronomy, Biophysics, Chemistry, Earth and Environmental Sciences, Math, Physics, or any other physical science. […]