@article{Zhang2026, 
author = {Tao Zhang and Shengpeng He and Huangxin Chen and Shuyu Sun},
title = {Multiscale energy and mass transport for a sustainable geo-energy future},
year = {2026},
journal = {Advances in Geo-Energy Research},
volume = {20},
number = {2},
pages = {194-196},
keywords = {pore-scale modeling, Multiscale transport, thermodynamic consistency, geo-energy digital twin},
url = {https://www.sciopen.com/article/10.46690/ager.2026.05.07},
doi = {10.46690/ager.2026.05.07},
abstract = {Multiscale energy and mass transport processes constitute the fundamental scientific foundation for sustainable geo-energy development and carbon neutrality. This perspective synthesizes cutting-edge advances in the field into three transformative thematic areas: thermodynamically consistent pore-scale modeling with robust numerical schemes that embed fundamental physical laws into mathematical formulations; molecular-scale insights and data-driven acceleration techniques bridging nanoscopic interfacial phenomena to reservoir-scale engineering; and coupled multiphysics-artificial intelligence frameworks for hydrogen infrastructure safety and supercritical CO2 geothermal systems. Recent research reveals a paradigm shift toward living digital twins that integrate rigorous mathematical physics, multiscale computing, and artificial intelligence, charting a clear course toward carbon-neutral energy systems.}
}