Advancing next-generation proton exchange membrane fuel cell design through multi-physics and AI modeling
Guobin Zhang, Zhiguo Qu, Qiang Zheng, Yichen Zhou, Ning Wang, Yun Wang
Abstract
This Perspective identifies key challenges and opportunities of three-dimensional multi-physics and artificial intelligence modeling for predictive temporal multi-physics distribution, aiming to advance the development of next-generation fuel cells.
Topics & Concepts
Key (lock)Proton exchange membrane fuel cellFuel cellsComputer sciencePerspective (graphical)EngineeringMaterials scienceProcess engineeringWork (physics)Biochemical engineeringNanotechnologyFuel Cells and Related MaterialsElectrocatalysts for Energy ConversionMachine Learning in Materials Science