Researchers from Argonne National Laboratory have received an Editors’ Pick award for their paper “Non-auto-regressive time-series methods for stable parametric reduced-order models.”
Join Santanu Chaudhuri, Director of Manufacturing Science and Engineering at Argonne and other top experts in discussing the current state of AI application in materials scale-up and manufacturing.
Todd Munson, a senior computational scientist in the Mathematics and Computer Science Division at Argonne National Laboratory, has been selected to participate in the U.S. Department of Energy (DOE) Project Leadership Institute (PLI).
The U.S. Department of Energy Advanced Scientific Computing program is sponsoring a virtual workshop on Randomized Algorithms for Scientific Computing (RASC).
Researchers from Argonne National Laboratory’s MACSER project recently participated in a two-day forum September 29 – October 1, 2020, on Computing in Engineering.
Shintaro Iwasaki, a postdoctoral appointee in the Mathematics and Computer Science (MCS) Division, has received an Argonne 2020 Outstanding Postdoctoral Performance Award in the area of applied research.
Mihai Anitescu, senior computational mathematician at Argonne National Laboratory and leader of the MACSER project, will present a webinar talk Oct. 7, 2020, on computing the probabilities of cascading power grid failures.