The PhILMs ("films") Center is a collaboration among Pacific Northwest National Laboratory and Sandia Laboratories, with academic partners at Brown University, Massachusetts Institute of Technology, Stanford University, and the University of California, Santa Barbara.
PhILMs is uncovering hidden physics based on new developments in deep learning, a computing technique that harnesses the power of machine learning and big data.
PhILMs investigators are developing physics-informed learning machines by encoding physics knowledge into deep learning networks to:
This work is supported by the Applied Mathematics Program within the U.S. Department of Energy Office of Advanced Scientific Computing Research.
Grace Gu, University of California, Berkeley
Qizhi He will be a co-organizer of a mini-symposium on "MS: Data Management and Machine Learning" at the U.S.Association for Computational Mechanics (USACM) Thematic Conference on Meshfree and Novel Finite Element Methods with Applications held September 25-27, 2022 in Berkeley, CA.
George Em Karniadakis received the 2021 SIAM/ACM Prize in Computational Science and Engineering. The prize was awarded at the 2021 SIAM Conference on Computational Science and Engineering held virtually March 1-5, 2021.
Congratulations to Nat Trask, Sandia National Laboratories, who recently won an Early Career Research Program award from the U.S. Department of Energy for his proposed project on machine learning.
Marta D'Elia has joined the committee of the One Nonlocal World project, an online platform where people working on nonlocal problems or interested in learning more about this topic can regularly check for updates on nonlocal modeling, analysis and computation. Nonlocal calculus and modeling is one of the focus areas in PhILMs.