Ph.D. in Scientific Computing Student Seminars
Undergraduate Science Building - 1250Speakers TBD
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Events
Micde
Conference / Symposium:MICDE ACES Mini-Symposium 2024
Lurie Robert H. Engin. Ctr - Johnson Rooms, 3rd floorThis year’s focus of the Advanced Computational Science & Engineering Showcase (ACES) mini-symposium is connecting advanced algorithms, artificial intelligence (AI), and high-performance computing (HPC) architectures to advance scientific discovery. The […]
Ph.D. in Scientific Computing Student Seminars
Undergraduate Science Building - 1250Speakers TBD
Taking the Next Step: Graduate Studies in Computation/AI for Science and Engineering at U-M
GG Brown Laboratory - 2147PhD in Scientific Computing director Eric Johnsen will speak about opportunities for undergraduate or master's students seeking a graduate education in Computation and Artificial Intelligence for Science and Engineering at the University of Michigan. Food will be provided. Please register to attend.
Ph.D. in Scientific Computing Student Seminars
Undergraduate Science Building - 1250Vishal Subramanian (Materials Science & Engineering and Scientific Computing): Accelerating Fock exact exchange calculations using Tucker Tensor techniques
Heting Fu (Mechanical Engineering and Scientific Computing): Topology Optimization for Die Casting with Nonplanar Parting Surfaces
Ph.D. in Scientific Computing Student Seminars
Undergraduate Science Building - 1250Speakers TBD
Ph.D. in Scientific Computing Student Seminars
Undergraduate Science Building - 1250Shuai Che (Nuclear Engineering & Radiological Sciences)
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?
Ph.D. in Scientific Computing Student Seminars
Undergraduate Science Building - 1250Mahmoud Komaiha (Biomedical Engineering) & Zhucong Xi (Materials Science & Engineering)
MICDE Seminar: Joshua Dolence, Research Scientist, Los Alamos National Lab
Venue TBA MI, United StatesParthenon: a flexible framework for rapid development of performance portable multiphysics codes