MICDE Seminar: Tarek Zohdi, Department of Mechanical Engineering, University of California, Berkeley
1109 FXB 1320 Beal Ave., Ann Arbor, MI, United States
10 events found.
Events
MICDE Seminar Series
Events
MICDE Seminar: Theresa Windus, Chemistry, Iowa State University
CHEM 1640 930 N University, Ann Arbor, MI, United States
MICDE Seminar: Jesse Capecelatro, Department of Mechanical Engineering, University of Michigan
185 EWR 1351 Beal Ave, Ann Arbor, MI, United States
MICDE Seminar: Dominika Zgid, Chemistry, University of Michigan
CHEM 1706 930 N University, Ann Arbor, MI, United StatesSelf-energy embedding theory (SEET) is a quantum embedding scheme allowing us to describe a chosen subsystem very accurately while keeping the description of the environment at a lower cost.
MICDE Seminar: Heather Mayes, Chemical Engineering, University of Michigan
NCRC10 ACR2 2800 Plymouth Rd, Ann Arbor, MI, United States
MICDE Seminar: Michael Shelley, Courant Institute, New York University
1084 East Hall 530 Church St., Ann Arbor, MI, United StatesBio: Michael J. Shelley is an American applied mathematician who works on the modeling and simulation of complex systems arising in physics and biology. He holds a BA in Mathematics […]
Computation: A Pillar of Science and a Lens to the Future — the 2018 MICDE Symposium
Rackham Amphitheatre 915 E. Washington St., Ann Arbor, MI, United States
MICDE Seminar: Michael Falk, Department of Materials Science and Engineering, Johns Hopkins University
1303 EECS 1301 Beal Ave, Ann Arbor, MI, United StatesConnecting atomistic simulations, defect-based theories and continuum plasticity in amorphous solids
MICDE Seminar: Amanda Randles, Department of Biomedical Engineering, Duke University
Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 1221 Beal Ave., Ann Arbor, MI, United StatesMassively Parallel Simulations of Hemodynamics in the Human Vasculature
CEE/MICDE Seminar: Khachik Sargsyan, Sandia National Laboratories
1311 EECS 1301 Beal Ave., Ann Arbor, MI, United StatesProbabilistic Methods for Uncertainty Quantification in Computational Models