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Predictive Modeling of Molecular Mechanisms in Hydrogen Production and Storage Materials

Hydrogen has been widely considered to hold promise for solving challenges associated with the increasing demand for green energy. While many chemical and biochemical processes produce molecular hydrogen as byproducts, electrochemical approaches using water electrolysis are considered to be a predom...

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Detalles Bibliográficos
Autores principales: Banerjee, Tanumoy, Balasubramanian, Ganesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488356/
https://www.ncbi.nlm.nih.gov/pubmed/37687742
http://dx.doi.org/10.3390/ma16176050
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author Banerjee, Tanumoy
Balasubramanian, Ganesh
author_facet Banerjee, Tanumoy
Balasubramanian, Ganesh
author_sort Banerjee, Tanumoy
collection PubMed
description Hydrogen has been widely considered to hold promise for solving challenges associated with the increasing demand for green energy. While many chemical and biochemical processes produce molecular hydrogen as byproducts, electrochemical approaches using water electrolysis are considered to be a predominant method for clean and green hydrogen production. We discuss the current state-of-the-art in molecular hydrogen production and storage and, more significantly, the increasing role of computational modeling in predictively designing and deriving insights for enhancing hydrogen storage efficiency in current and future materials of interest. One of the key takeaways of this review lies in the continued development and implementation of large-scale atomistic simulations to enable the use of designer electrolyzer–electrocatalysts operating under targeted thermophysical conditions for increasing green hydrogen production and improving hydrogen storage in advanced materials, with limited tradeoffs for storage efficiency.
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spelling pubmed-104883562023-09-09 Predictive Modeling of Molecular Mechanisms in Hydrogen Production and Storage Materials Banerjee, Tanumoy Balasubramanian, Ganesh Materials (Basel) Review Hydrogen has been widely considered to hold promise for solving challenges associated with the increasing demand for green energy. While many chemical and biochemical processes produce molecular hydrogen as byproducts, electrochemical approaches using water electrolysis are considered to be a predominant method for clean and green hydrogen production. We discuss the current state-of-the-art in molecular hydrogen production and storage and, more significantly, the increasing role of computational modeling in predictively designing and deriving insights for enhancing hydrogen storage efficiency in current and future materials of interest. One of the key takeaways of this review lies in the continued development and implementation of large-scale atomistic simulations to enable the use of designer electrolyzer–electrocatalysts operating under targeted thermophysical conditions for increasing green hydrogen production and improving hydrogen storage in advanced materials, with limited tradeoffs for storage efficiency. MDPI 2023-09-03 /pmc/articles/PMC10488356/ /pubmed/37687742 http://dx.doi.org/10.3390/ma16176050 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Banerjee, Tanumoy
Balasubramanian, Ganesh
Predictive Modeling of Molecular Mechanisms in Hydrogen Production and Storage Materials
title Predictive Modeling of Molecular Mechanisms in Hydrogen Production and Storage Materials
title_full Predictive Modeling of Molecular Mechanisms in Hydrogen Production and Storage Materials
title_fullStr Predictive Modeling of Molecular Mechanisms in Hydrogen Production and Storage Materials
title_full_unstemmed Predictive Modeling of Molecular Mechanisms in Hydrogen Production and Storage Materials
title_short Predictive Modeling of Molecular Mechanisms in Hydrogen Production and Storage Materials
title_sort predictive modeling of molecular mechanisms in hydrogen production and storage materials
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488356/
https://www.ncbi.nlm.nih.gov/pubmed/37687742
http://dx.doi.org/10.3390/ma16176050
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