Computational Physics and Machine Learning for Optimizing Energy Conversion and Flow
INVITED · MAR-Y55 · ID: MAR-Y55
Presentations
-
Machine Learning-Generated Effective Interaction Models for Chemistry
Invited-In-person · Invited
–
Presenters
-
Karol Kowalski
- Pacific Northwest National Laboratory
Authors
-
Karol Kowalski
- Pacific Northwest National Laboratory
-
Nicholas Bauman
-
Senwei Liang
-
Chao Yang
- Lawrence Berkeley Lab
-
-
Towards Understanding the Spin Selective Energy Processes in Chiral Systems
Invited-In-person · Invited
–
Presenters
-
Mark van Schilfgaarde
- National Renewable Energy Laboratory (NREL)
Authors
-
Mark van Schilfgaarde
- National Renewable Energy Laboratory (NREL)
-
Matthew Beard
- National Renewable Energy Laboratory (NREL)
-
Igor Zutic
- State Univ of NY - Buffalo
-
Mark Pederson
- University of Texas at El Paso
-
-
Local Fermi Orbitals: From DFT Corrections to Molecular Charge Transfer
Invited-In-person · Invited
–
Presenters
-
Tunna Baruah
- university of texas at el paso
Authors
-
Tunna Baruah
- university of texas at el paso
-
-
Ultrafast Transversal CISS Effect Observed in a Chiral Photoswitching Molecule
Invited-In-person · Invited
–
Publication: C. Seibel, J.H. Soh, S. Zilberg, and A.I. Krylov Ultrafast transversal CISS effect observed in a chiral photoswitching molecule J. Phys. Chem. Lett. 16, 8514 – 8522 (2025)
Presenters
-
Anna Krylov
- University of Southern California
Authors
-
Anna Krylov
- University of Southern California
-
-
Spin Chirality-Induced Spin-electric Coupling and Level Splitting in Three-Center Molecular Magnets
Invited-In-person · Invited
–
Presenters
-
Carlo Canali
- Linnaeus University
Authors
-
Carlo Canali
- Linnaeus University
-