934 citations · 934 across the 2 of their papers we have counts for
2 papers
physics.comp-ph2026
Physics-Informed Neural Networks as Fast Surrogate Models for Electrochemical Flow Reactors
Eric Fernández-García, Miguel Modestino, Sergio Maldonado
This work presents a physics-informed neural network (PINN) for modeling a transient two-dimensional electrochemical flow reactor with diffusion, migration, convection, and nonline…
cond-mat.soft2020★ 934 cited
Influence of Bubbles on the Energy Conversion Efficiency of Electrochemical Reactors
Andrea Angulo, Peter van der Linde, Han Gardeniers +2
Bubbles are known to influence energy and mass transfer in gas evolving electrodes. However, we lack a detailed understanding on the intricate dependencies between bubble evolution…