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Perspective | Open Access

Multiscale energy and mass transport for a sustainable geo-energy future

College of New Energy, China University of Petroleum (East China), Qingdao 266580, P. R. China
School of Mathematical Sciences, Xiamen University, Xiamen 361005, P. R. China
School of Mathematical Sciences, Tongji University, Shanghai 200092, P. R. China
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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.

Keywords

Multiscale transportthermodynamic consistencypore-scale modelinggeo-energy digital twin

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Advances in Geo-Energy Research
Volume 20 Issue 2,
May 2026
Pages 194-196
DOI: 10.46690/ager.2026.05.07

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Cite this article:
Zhang T, He S, Chen H, et al. Multiscale energy and mass transport for a sustainable geo-energy future. Advances in Geo-Energy Research, 2026, 20(2): 194-196. https://doi.org/10.46690/ager.2026.05.07

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Received: 23 April 2026
Revised: 05 May 2026
Accepted: 11 May 2026
Published: 13 May 2026
© The Author(s) 2026.

This article is distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.