Computational insights of bubble evolutions in water electrolysis

Water electrolysis is a pivotal technology for enabling the green hydrogen economy, though its efficiency remains substantially limited by the dynamics of bubble evolution. This review comprehensively discusses recent advances and the critical role of computational simulations in elucidating the mechanisms of multiscale bubble evolutions during electrolysis. We begin by outlining the governing mechanisms and fundamental theories underlying the evolution of both individual and multiple bubbles. The core discussion is then divided into two domains: molecular-scale simulations, which reveal how nanoscale behaviors—such as nucleation, growth, stability, and detachment—are influenced by electrode properties and operational conditions; and continuum-scale simulations, which investigate bubble growth, stability, coalescence, and migration within porous transport layers and real electrolyzer configurations, highlighting key interactions between multiphase flow and mass transfer. Finally, we discuss persistent challenges in predictive multiscale modeling of bubble evolutions in water electrolysis under practical operating environments and propose promising directions for future research. • Outlines typical behaviors and underlying physical mechanisms of bubbles in water electrolysis. • Summarizes recent advances and physical insights from molecular and continuum simulations of bubble dynamics. • Identifies challenges and future directions in predictive multiscale modeling for bubbles in water electrolysis.

Authors

Institutions

Publication Details

Journal
Sustainable Chemistry for Energy Materials
Published
2025-10-31
DOI
https://doi.org/10.1016/j.scenem.2025.100025
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computational insights of bubble evolutions in water electrolysis

Yawei Liu, M.J. Qin, Gerd Mutschke, Mengyuan Huang et al.
Sustainable Chemistry for Energy Materials
Hybrid Renewable Energy Systems
article

Computational insights of bubble evolutions in water electrolysis

Yawei Liu, M.J. Qin, Gerd Mutschke, Mengyuan Huang, Zhenjiang Guo, Zhenlei Wang, Hao Jiang
article en

Abstract

Water electrolysis is a pivotal technology for enabling the green hydrogen economy, though its efficiency remains substantially limited by the dynamics of bubble evolution. This review comprehensively discusses recent advances and the critical role of computational simulations in elucidating the mechanisms of multiscale bubble evolutions during electrolysis. We begin by outlining the governing mechanisms and fundamental theories underlying the evolution of both individual and multiple bubbles. The core discussion is then divided into two domains: molecular-scale simulations, which reveal how nanoscale behaviors—such as nucleation, growth, stability, and detachment—are influenced by electrode properties and operational conditions; and continuum-scale simulations, which investigate bubble growth, stability, coalescence, and migration within porous transport layers and real electrolyzer configurations, highlighting key interactions between multiphase flow and mass transfer. Finally, we discuss persistent challenges in predictive multiscale modeling of bubble evolutions in water electrolysis under practical operating environments and propose promising directions for future research. • Outlines typical behaviors and underlying physical mechanisms of bubbles in water electrolysis. • Summarizes recent advances and physical insights from molecular and continuum simulations of bubble dynamics. • Identifies challenges and future directions in predictive multiscale modeling for bubbles in water electrolysis.

Sustainable Chemistry for Energy MaterialsVol. 2
Helmholtz-Zentrum Dresden-Rossendorf (DE), Institute of Process Engineering (CN), Zhengzhou Institute of Emerging Industrial Technology (CN), University of Chinese Academy of Sciences (CN), Technische Universität Dresden (DE)
Openalex Percentile: Top 65%
Hybrid Renewable Energy Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.