2 papers
eess.SY2026
PowerModelsGAT-AI: Physics-Informed Graph Attention for Multi-System Power Flow with Continual Learning
Chidozie Ezeakunne, Jose E. Tabarez, Reeju Pokharel +1
Solving the alternating current power flow equations in real time is essential for secure grid operation, yet classical Newton-Raphson solvers can be slow under stressed conditions…
cond-mat.mtrl-sci2024
Best of Both Worlds: Enforcing Detailed Balance in Machine Learning Models of Transition Rates
Anjana Anu Talapatra, Anup Pandey, Matthew S. Wilson +4
The slow microstructural evolution of materials often plays a key role in determining material properties. When the unit steps of the evolution process are slow, direct simulation…