Our project brings together researchers in theoretical chemistry, quantum dynamics, applied mathematics, high-performance computing, and machine learning to build accurate, scalable tools to enable predictive insight into quantum-driven phenomena across chemistry and materials science.
Pacific Northwest National Laboratory
- Niri Govind (PI)
- Britta Johnson
- Karol Kowalski
- Daniel Mejia-Rodriguez
- Ajay Panyala
- Bo Peng
- Edo Apra
- Bruce Palmer
- Giridhar Nandipati
Lawrence Berkeley National Laboratory
- Chao Yang (FastMATH)
- Dmitriy Morozov (RAPIDS2)
- Pinchen Xie
University of Wisconsin-Madison
University of Washington
- Fernando Villa
- Amke Nimmrich
- Munira Khalil
Los Alamos National Laboratory