Hydrogen storage via adsorption: A review of recent advances and challenges

Fuel, Journal Year: 2025, Volume and Issue: 387, P. 134273 - 134273

Published: Jan. 10, 2025

Language: Английский

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Boosting Ambient Hydrogen Storage in Graphene via Structural and Functional Designs: A Review

Advanced Energy and Sustainability Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Graphene with a large specific surface area, excellent mechanical flexibility, and chemical adjustability is promising medium for reversible hydrogen storage. The adsorption capacity predicted graphene under ideal conditions of low temperature high pressure reaches 6.6 wt%, but the practical at ambient far away from theoretical value, mainly blamed on weak Van der Waals interaction between graphene. In this case, strategies including structural engineering functional modification have been widely adopted to create more active sites molecules enhance their binding strength. Herein, sustainable progress enhancing storage ability both perspectives reviewed, synergy especially focused. Moreover, each strategy further classified discussed based difference action mechanisms, representative works introduced, aiming presenting clear comprehensive development venation reader. Lastly, future research directions developing advanced graphene‐based systems are proposed.

Language: Английский

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Machine learning descriptor-assisted exploration of metal-modified graphene hydrogen storage materials

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 119, P. 45 - 55

Published: March 20, 2025

Language: Английский

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Modulation of Hydrogen Evolution Reaction Performance of MXenes by Doped Transition Metals: Comprehensive Exploration of High-Throughput Computing and Machine Learning

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown

Published: April 10, 2025

Due to the unique properties of MXenes, doping transition metals can modulate their catalytic and make them potential materials for hydrogen evolution reaction (HER). Nevertheless, extensive combinatorial space poses a challenge rapid screening catalysts. To address this issue, we conducted high-throughput calculations on series metal atom-doped Ti3CNO2 Zr2HfCNO2. Furthermore, local structure corresponding electronic changes are analyzed, focusing influence HER properties. site identification features were introduced train multisite prediction model with final accuracy R2 = 0.97 predicted trend adsorption Gibbs free energy (ΔGH*) across range MXenes structures, which doped TM atoms. The results show that Nb, Sc, Rh, W, Ti, V resulted in |ΔGH*| < 0.2 eV more than 38 M'2M″CNO2, respectively, they effective dopant atoms enhancing ability M'2M″CNO2. This study not only demonstrates performance but also highlights importance models development efficient

Language: Английский

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A guided review of machine learning in the design and application for pore nanoarchitectonics of carbon materials

Materials Science and Engineering R Reports, Journal Year: 2025, Volume and Issue: 165, P. 101010 - 101010

Published: May 3, 2025

Language: Английский

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Advancing hydrogen storage: critical insights to potentials, challenges, and pathways to sustainability

Current Opinion in Chemical Engineering, Journal Year: 2025, Volume and Issue: 48, P. 101135 - 101135

Published: April 18, 2025

Language: Английский

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Synchronously upgrading of hydrogen storage thermodynamic, kinetics and cycling properties of MgH2 via VTiMn catalyst

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: unknown, P. 129760 - 129760

Published: Sept. 1, 2024

Language: Английский

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