MICDE Ph.D. Student Seminars 2023-2024: Jeffrey Hatch
2022 South Thayer BuildingComputational Methods in Chemistry
10 events found.
Events
Computational Modeling
Events
MICDE Fellowships Information Session
Zoom EventApplications for the $4,500 2024-2025 MICDE Graduate Fellowships will open May 1, 2024. Please join this Zoom session to learn more about the fellowships and how to submit a great application!
MICDE / MIDAS Graduate Information Session
1100 North University Building - 1528The educational programs represented are: PhD in Scientific Computing (MICDE) Graduate Certificate in Computational Discovery & Engineering (MICDE) Graduate Certificate in Computational Neuroscience (MICDE) Graduate Certificate in Data Science (MIDAS) […]
MICDE / MIDAS Graduate Information Session
Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 1221 Beal Ave., Ann Arbor, MI, United StatesThe educational programs represented are: PhD in Scientific Computing (MICDE) Graduate Certificate in Computational Discovery & Engineering (MICDE) Graduate Certificate in Computational Neuroscience (MICDE) Graduate Certificate in Data Science (MIDAS) […]
Scientific Computing in the Physical Sciences information session
Weiser Hall - 170Learn 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. […]
Scientific Computing in the Biological and Health Sciences information session
Weiser Hall - 170Learn about academic opportunities and fellowships for graduate students who combine Scientific Computing with Biology, Kinesiology, Medicine, Pharmacy, Public Health, or any other biological or health-related science. This session will […]
The Orren C. Mohler Prize Lecture
Forum Hall, Palmer Commons 100 Washtenaw Ave, Ann Arbor, MI, United StatesVolker Springel, Professor, Max Planck Institute for Astrophysics & Ludwig Maximilian University of Munich, Germany
"Simulated Universes: Origin and Fate of Our Milky Way"
Frontiers in Scientific Machine Learning Seminar – Ashwin Renganathan (Penn State): Sample-efficient and Principled Decision-making with Expensive Stochastic Oracles
GG Brown Laboratory - 1642Sample-efficient and Principled Decision-making with Expensive Stochastic Oracles
Frontiers in Scientific Machine Learning Seminar – Pan Du (University of Notre Dame): Conditional neural field latent diffusion model for generating spatiotemporal turbulence
GG Brown Laboratory - 1642Conditional neural field latent diffusion model for generating spatiotemporal turbulence
Frontiers in Scientific Machine Learning Seminar – Romit Maulik (Penn State University): SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
2004 Lay Auto LabConditional neural field latent diffusion model for generating spatiotemporal turbulence