2 papers
physics.chem-ph2024
Multiscale modeling framework of a constrained fluid with complex boundaries using twin neural networks
Peiyuan Gao, George Em Karniadakis, Panos Stinis
The properties of constrained fluids have increasingly gained relevance for applications ranging from materials to biology. In this work, we propose a multiscale model using twin n…
physics.chem-ph2024
Physics-Guided Continual Learning for Predicting Emerging Aqueous Organic Redox Flow Battery Material Performance
Yucheng Fu, Amanda Howard, Chao Zeng +3
Aqueous organic redox flow batteries (AORFBs) have gained popularity in renewable energy storage due to their low cost, environmental friendliness and scalability. The rapid discov…