Mechanistic insights into CO2 hydrogenation to methanol on Cu(110): unveiling energy linear relationships and enhancing performance strategies
The study of energy correlations in catalytic reactions plays a pivotal role in guiding catalyst development. This paper focuses on the investigation of energy linear relationships in methanol synthesis from CO2 hydrogenation on copper surfaces, systematically exploring energy parameters including a...
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Veröffentlicht in: | Physical chemistry chemical physics : PCCP 2024-08, Vol.26 (34), p.22739-22751 |
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description | The study of energy correlations in catalytic reactions plays a pivotal role in guiding catalyst development. This paper focuses on the investigation of energy linear relationships in methanol synthesis from CO2 hydrogenation on copper surfaces, systematically exploring energy parameters including activation energy, reaction energy and adsorption energy. A comparative analysis of the adsorption characteristics and reaction parameters in the formate, formic acid and reverse water–gas shift pathways is conducted, laying the data foundation for subsequent linear studies. Then, descriptors are extracted from electronic, energetic and structural information and further integrated using the sure independence screening and sparsifying operator (SISSO) method to establish an energy description paradigm characterized by interpretability and accuracy. Additionally, reactions are further categorized based on hydrogenation types to mitigate the adverse effects of redundant data points. Finally, the summarized reaction descriptors are extended to Cu-based alloy systems to highlight the rationality and transferability of the developed descriptors. |
doi_str_mv | 10.1039/d4cp01969e |
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This paper focuses on the investigation of energy linear relationships in methanol synthesis from CO2 hydrogenation on copper surfaces, systematically exploring energy parameters including activation energy, reaction energy and adsorption energy. A comparative analysis of the adsorption characteristics and reaction parameters in the formate, formic acid and reverse water–gas shift pathways is conducted, laying the data foundation for subsequent linear studies. Then, descriptors are extracted from electronic, energetic and structural information and further integrated using the sure independence screening and sparsifying operator (SISSO) method to establish an energy description paradigm characterized by interpretability and accuracy. Additionally, reactions are further categorized based on hydrogenation types to mitigate the adverse effects of redundant data points. 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This paper focuses on the investigation of energy linear relationships in methanol synthesis from CO2 hydrogenation on copper surfaces, systematically exploring energy parameters including activation energy, reaction energy and adsorption energy. A comparative analysis of the adsorption characteristics and reaction parameters in the formate, formic acid and reverse water–gas shift pathways is conducted, laying the data foundation for subsequent linear studies. Then, descriptors are extracted from electronic, energetic and structural information and further integrated using the sure independence screening and sparsifying operator (SISSO) method to establish an energy description paradigm characterized by interpretability and accuracy. Additionally, reactions are further categorized based on hydrogenation types to mitigate the adverse effects of redundant data points. Finally, the summarized reaction descriptors are extended to Cu-based alloy systems to highlight the rationality and transferability of the developed descriptors.</description><subject>Adsorption</subject><subject>Alloy systems</subject><subject>Carbon dioxide</subject><subject>Chemical synthesis</subject><subject>Copper</subject><subject>Copper base alloys</subject><subject>Data points</subject><subject>Formic acid</subject><subject>Hydrogenation</subject><subject>Methanol</subject><subject>Parameters</subject><issn>1463-9076</issn><issn>1463-9084</issn><issn>1463-9084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpdj8tOwzAQRS0EEqWw4QsssSmLgMd20pgdqnhJRd3AunKTSeIqtYPtIPUn-GbMQyxYzZ07545mCDkHdgVMqOtaVgMDVSg8IBOQhcgUK-Xhn54Xx-QkhC1jDHIQE_LxjFWnrQnRVNTYYNouhiSio4sVp92-9q5Fq6NxliZzhzHhrqepXYwzAHZ5Q0f7jqY3tqVo0bd7mjRqTz3238HQmSFQbes0T-nqixzQN87vUoc0RK8jtgbDKTlqdB_w7LdOyev93cviMVuuHp4Wt8tsSI_ETCE0m43SghUgeV5XsqkLlZxS59gIhZIpVXI-lzWTirMStABV5RxQbwRyMSWzn72Dd28jhrjemVBh32uLbgxrwZQsuVASEnrxD9260dt03Rc1L6EUBRefGnd1EQ</recordid><startdate>20240828</startdate><enddate>20240828</enddate><creator>Huang, Qin</creator><creator>Zhang, Hai</creator><creator>Wang, Xingzi</creator><creator>Fan, Weidong</creator><general>Royal Society of Chemistry</general><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope><scope>7X8</scope></search><sort><creationdate>20240828</creationdate><title>Mechanistic insights into CO2 hydrogenation to methanol on Cu(110): unveiling energy linear relationships and enhancing performance strategies</title><author>Huang, Qin ; Zhang, Hai ; Wang, Xingzi ; Fan, Weidong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p146t-9e1fbb9a3061425dc4fd69bb98a5ef39e409982274d0492081a319c521eab3e23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adsorption</topic><topic>Alloy systems</topic><topic>Carbon dioxide</topic><topic>Chemical synthesis</topic><topic>Copper</topic><topic>Copper base alloys</topic><topic>Data points</topic><topic>Formic acid</topic><topic>Hydrogenation</topic><topic>Methanol</topic><topic>Parameters</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Qin</creatorcontrib><creatorcontrib>Zhang, Hai</creatorcontrib><creatorcontrib>Wang, Xingzi</creatorcontrib><creatorcontrib>Fan, Weidong</creatorcontrib><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>Physical chemistry chemical physics : PCCP</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Qin</au><au>Zhang, Hai</au><au>Wang, Xingzi</au><au>Fan, Weidong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mechanistic insights into CO2 hydrogenation to methanol on Cu(110): unveiling energy linear relationships and enhancing performance strategies</atitle><jtitle>Physical chemistry chemical physics : PCCP</jtitle><date>2024-08-28</date><risdate>2024</risdate><volume>26</volume><issue>34</issue><spage>22739</spage><epage>22751</epage><pages>22739-22751</pages><issn>1463-9076</issn><issn>1463-9084</issn><eissn>1463-9084</eissn><abstract>The study of energy correlations in catalytic reactions plays a pivotal role in guiding catalyst development. This paper focuses on the investigation of energy linear relationships in methanol synthesis from CO2 hydrogenation on copper surfaces, systematically exploring energy parameters including activation energy, reaction energy and adsorption energy. A comparative analysis of the adsorption characteristics and reaction parameters in the formate, formic acid and reverse water–gas shift pathways is conducted, laying the data foundation for subsequent linear studies. Then, descriptors are extracted from electronic, energetic and structural information and further integrated using the sure independence screening and sparsifying operator (SISSO) method to establish an energy description paradigm characterized by interpretability and accuracy. Additionally, reactions are further categorized based on hydrogenation types to mitigate the adverse effects of redundant data points. Finally, the summarized reaction descriptors are extended to Cu-based alloy systems to highlight the rationality and transferability of the developed descriptors.</abstract><cop>Cambridge</cop><pub>Royal Society of Chemistry</pub><doi>10.1039/d4cp01969e</doi><tpages>13</tpages></addata></record> |
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source | Royal Society Of Chemistry Journals 2008-; Alma/SFX Local Collection |
subjects | Adsorption Alloy systems Carbon dioxide Chemical synthesis Copper Copper base alloys Data points Formic acid Hydrogenation Methanol Parameters |
title | Mechanistic insights into CO2 hydrogenation to methanol on Cu(110): unveiling energy linear relationships and enhancing performance strategies |
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