SciML Webinar Justin Beroz: A closed-form mathematical framework for modeling turbulent fluids
A closed-form mathematical framework for modeling turbulent fluids
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Events
SciML Webinar Ji Qi: DImensionality-Reduced Encoded Clusters with sTratified (DIRECT) sampling for Robust Training of Machine Learning Interatomic Potentials
Robust Training of Machine Learning Interatomic Potentials with Dimensionality Reduction and Stratified Sampling
SciML Webinar: Bowen Deng – CHGNet: pretrained universal interatomic potential to study electron coupled ionic systems.
CHGNet: pretrained universal interatomic potential to study electron coupled ionic systems
MICDE / ME Seminar: Erik Draeger, Director of the High Performance Computing Innovation Center and RADIUSS project at Lawrence Livermore National Laboratory
1670 Bob and Betty Beyster Building 2260 Hayward Street, Ann Arbor, MI, United StatesSupercomputing at the exascale and beyond: future trends and challenges
MICDE / NERS Seminar: Larry Aagesen, Computational Scientist at Idaho National Laboratory
2150 H.H. Dow 2300 Hayward St, Ann Arbor, United StatesMulti-scale modeling of the evolution of structure and properties in materials for nuclear energy applications
MICDE Ph.D. Student Seminars: Bernardo Pacini & Srinivasan Arunachalam
2022 South Thayer BuildingGradient-Based Multidisciplinary Design Optimization for Propeller Design | Validation of a multivariate non-Gaussian, non-stationary wind pressure simulation model for performance-based wind engineering
SciML Webinar: Lenz Fiedler – Efficient calculations of electronic structures with machine-learning models
Efficient calculations of electronic structures with machine-learning models
Conference / Symposium:U-M Data Science & AI Summit 2023
Rackham Graduate School (Horace H.)The U-M Data Science and AI Summit is the largest annual data science and AI event on campus. This event brings together the U-M data science and AI research community and their external collaborators to build research vision and collaboration. It also showcases the breadth and depth of U-M data science and AI research, from […]
Conference / Symposium:U-M Data Science & AI Summit 2023
Rackham Graduate School (Horace H.)The U-M Data Science and AI Summit is the largest annual data science and AI event on campus. This event brings together the U-M data science and AI research community and their external collaborators to build research vision and collaboration. It also showcases the breadth and depth of U-M data science and AI research, from […]
MICDE Ph.D. Student Seminars: Jamie Holber
2022 South Thayer BuildingActive Learning for Physics Informed Data Sampling and Construction of Free Energy Representations