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Establishing the Principal Descriptor for Electrochemical Urea Production via the Dispersed Dual‐Metals Anchored on the N‐Decorated Graphene

Urea electrosynthesis under mild conditions starting from the adsorption of inert N(2) molecules has brought out a promising alternative experimentally to conquer its huge energy consumption in industrial Haber‐Bosch process. The most crucial and inevitable reaction is the formation of urea precurso...

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Autores principales: Zhu, Changyan, Wang, Miao, Wen, Chaoxia, Zhang, Min, Geng, Yun, Zhu, Guangshan, Su, Zhongmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981460/
https://www.ncbi.nlm.nih.gov/pubmed/35098706
http://dx.doi.org/10.1002/advs.202105697
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author Zhu, Changyan
Wang, Miao
Wen, Chaoxia
Zhang, Min
Geng, Yun
Zhu, Guangshan
Su, Zhongmin
author_facet Zhu, Changyan
Wang, Miao
Wen, Chaoxia
Zhang, Min
Geng, Yun
Zhu, Guangshan
Su, Zhongmin
author_sort Zhu, Changyan
collection PubMed
description Urea electrosynthesis under mild conditions starting from the adsorption of inert N(2) molecules has brought out a promising alternative experimentally to conquer its huge energy consumption in industrial Haber‐Bosch process. The most crucial and inevitable reaction is the formation of urea precursor *NCON from *N(2) and CO based on the pre‐selected reaction pathway, together with the following protonated processes. It is significant to comprehend their intrinsic intercorrelation and explore the principal descriptor from massive reaction data. Hereby, the authors study the dispersed dual‐metals (homonuclear MN(3)–MN(3) moiety and heteronuclear MN(3)–M'N(3) moiety) anchored on N‐doped graphene as electrocatalysts to synthesize urea. Based on the screened out 72 stable systems by ab initio molecular dynamics (AIMD) simulations as the database, six significant linear correlations between the computed Gibbs free energy and other important factors are achieved. Most encouragingly, the principal descriptor (ΔE(*NCONH)) is established because 72% low‐performance systems can be filtered out and its effective range (−1.0 eV < ΔEE(*NCONH) < 0.5 eV) is identified by eight optimal systems. This study not only suggests that dispersed dual‐metals via MN(3) moiety can serve as promising active sites for urea production, but also identifies the principal descriptor and its effective range in high‐throughput methods.
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spelling pubmed-89814602022-04-11 Establishing the Principal Descriptor for Electrochemical Urea Production via the Dispersed Dual‐Metals Anchored on the N‐Decorated Graphene Zhu, Changyan Wang, Miao Wen, Chaoxia Zhang, Min Geng, Yun Zhu, Guangshan Su, Zhongmin Adv Sci (Weinh) Research Articles Urea electrosynthesis under mild conditions starting from the adsorption of inert N(2) molecules has brought out a promising alternative experimentally to conquer its huge energy consumption in industrial Haber‐Bosch process. The most crucial and inevitable reaction is the formation of urea precursor *NCON from *N(2) and CO based on the pre‐selected reaction pathway, together with the following protonated processes. It is significant to comprehend their intrinsic intercorrelation and explore the principal descriptor from massive reaction data. Hereby, the authors study the dispersed dual‐metals (homonuclear MN(3)–MN(3) moiety and heteronuclear MN(3)–M'N(3) moiety) anchored on N‐doped graphene as electrocatalysts to synthesize urea. Based on the screened out 72 stable systems by ab initio molecular dynamics (AIMD) simulations as the database, six significant linear correlations between the computed Gibbs free energy and other important factors are achieved. Most encouragingly, the principal descriptor (ΔE(*NCONH)) is established because 72% low‐performance systems can be filtered out and its effective range (−1.0 eV < ΔEE(*NCONH) < 0.5 eV) is identified by eight optimal systems. This study not only suggests that dispersed dual‐metals via MN(3) moiety can serve as promising active sites for urea production, but also identifies the principal descriptor and its effective range in high‐throughput methods. John Wiley and Sons Inc. 2022-01-31 /pmc/articles/PMC8981460/ /pubmed/35098706 http://dx.doi.org/10.1002/advs.202105697 Text en © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Zhu, Changyan
Wang, Miao
Wen, Chaoxia
Zhang, Min
Geng, Yun
Zhu, Guangshan
Su, Zhongmin
Establishing the Principal Descriptor for Electrochemical Urea Production via the Dispersed Dual‐Metals Anchored on the N‐Decorated Graphene
title Establishing the Principal Descriptor for Electrochemical Urea Production via the Dispersed Dual‐Metals Anchored on the N‐Decorated Graphene
title_full Establishing the Principal Descriptor for Electrochemical Urea Production via the Dispersed Dual‐Metals Anchored on the N‐Decorated Graphene
title_fullStr Establishing the Principal Descriptor for Electrochemical Urea Production via the Dispersed Dual‐Metals Anchored on the N‐Decorated Graphene
title_full_unstemmed Establishing the Principal Descriptor for Electrochemical Urea Production via the Dispersed Dual‐Metals Anchored on the N‐Decorated Graphene
title_short Establishing the Principal Descriptor for Electrochemical Urea Production via the Dispersed Dual‐Metals Anchored on the N‐Decorated Graphene
title_sort establishing the principal descriptor for electrochemical urea production via the dispersed dual‐metals anchored on the n‐decorated graphene
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981460/
https://www.ncbi.nlm.nih.gov/pubmed/35098706
http://dx.doi.org/10.1002/advs.202105697
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