Multiscale modeling and simulation of surface‐enhanced spectroscopy and plasmonic photocatalysis

Plasmonic metal nanoparticles (PMNPs) are capable of localized surface plasmon resonance (LSPR) and have become an important component in many experimental settings, such as the surface‐enhanced spectroscopy and plasmonic photocatalysts, in which PMNPs are used to regulate the nearby molecular photo...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Wiley interdisciplinary reviews. Computational molecular science 2023-09, Vol.13 (5), p.e1665
Hauptverfasser: Liang, WanZhen, Huang, Jiaquan, Sun, Jin, Zhang, Pengcheng, Li, Akang
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 5
container_start_page e1665
container_title Wiley interdisciplinary reviews. Computational molecular science
container_volume 13
creator Liang, WanZhen
Huang, Jiaquan
Sun, Jin
Zhang, Pengcheng
Li, Akang
description Plasmonic metal nanoparticles (PMNPs) are capable of localized surface plasmon resonance (LSPR) and have become an important component in many experimental settings, such as the surface‐enhanced spectroscopy and plasmonic photocatalysts, in which PMNPs are used to regulate the nearby molecular photophysical and photochemical behaviors by means of the complex interplay between the plasmon and molecular quantum transitions. Building computational models of these coupled plasmon‐molecule systems can help us better understand the bound molecular properties and reactivity, and make better decisions to design and control such systems. Ab initio modeling the nanosystem remains highly challenging. Many hybrid quantum‐classical (or ‐quantum) computing models have thus been developed to model the coupled systems, in which the molecular system of interest is designated as the quantum mechanical (QM) sub‐region and treated by the excited‐state electronic structure approaches such as the time‐dependent density functional theory (TDDFT), while the electromagnetic response of PMNPs is usually described using either a computational/classical electrodynamic (CED) model, polarizable continuum model(PCM), a polarizable molecular mechanics (MM) force field, or a collective of optical oscillators in QED model, leading to many hybrid approaches, such as QM/CED, QM/PCM, QM/MM or ab initio QED. In this review, we summarize recent advances in the development of these hybrid models as well as their advantages and limitations, with a specific emphasis on the TDDFT‐based approaches. Some numerical simulations on the plasmon‐enhanced absorption and Raman spectroscopy, plasmon‐driven water splitting reaction and interfacial electronic injection dynamics in dye‐sensitized solar cell are demonstrated. This article is categorized under: Electronic Structure Theory > Ab Initio Electronic Structure Methods Theoretical and Physical Chemistry > Spectroscopy Software > Quantum Chemistry Electronic Structure Theory > Combined QM/MM Methods
doi_str_mv 10.1002/wcms.1665
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2866677819</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2866677819</sourcerecordid><originalsourceid>FETCH-LOGICAL-c257t-9929c545acc39bec36cc978b5ac00fc20f2959d21732150e3ee7a7fed661092f3</originalsourceid><addsrcrecordid>eNo9kM1KAzEQgIMoWGoPvsGCJw9b89Mkm6MUtULFi55DOpvYlOxm3WSR3nwEn9EncWvFucwwfPPDh9AlwXOCMb35gCbNiRD8BE2I5KrEVbU4_a-lOEezlHZ4jIUilJEJ2jwNIfsEJtiiibUNvn0rTFsXyTdDMNnHtoiuSEPvDNjvzy_bbk0LdgQ6C7mPCWK3_53ogklNbD0U3TbmCCabsE8-XaAzZ0Kys788Ra_3dy_LVbl-fnhc3q5LoFzmUimqgC-4AWBqY4EJACWrzdjA2AHFjiquakoko4Rjy6yVRjpbC0Gwoo5N0dVxb9fH98GmrHdx6NvxpKaVEELKiqiRuj5SMP6eeut01_vG9HtNsD5Y1AeL-mCR_QAHY2hI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2866677819</pqid></control><display><type>article</type><title>Multiscale modeling and simulation of surface‐enhanced spectroscopy and plasmonic photocatalysis</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Liang, WanZhen ; Huang, Jiaquan ; Sun, Jin ; Zhang, Pengcheng ; Li, Akang</creator><creatorcontrib>Liang, WanZhen ; Huang, Jiaquan ; Sun, Jin ; Zhang, Pengcheng ; Li, Akang</creatorcontrib><description>Plasmonic metal nanoparticles (PMNPs) are capable of localized surface plasmon resonance (LSPR) and have become an important component in many experimental settings, such as the surface‐enhanced spectroscopy and plasmonic photocatalysts, in which PMNPs are used to regulate the nearby molecular photophysical and photochemical behaviors by means of the complex interplay between the plasmon and molecular quantum transitions. Building computational models of these coupled plasmon‐molecule systems can help us better understand the bound molecular properties and reactivity, and make better decisions to design and control such systems. Ab initio modeling the nanosystem remains highly challenging. Many hybrid quantum‐classical (or ‐quantum) computing models have thus been developed to model the coupled systems, in which the molecular system of interest is designated as the quantum mechanical (QM) sub‐region and treated by the excited‐state electronic structure approaches such as the time‐dependent density functional theory (TDDFT), while the electromagnetic response of PMNPs is usually described using either a computational/classical electrodynamic (CED) model, polarizable continuum model(PCM), a polarizable molecular mechanics (MM) force field, or a collective of optical oscillators in QED model, leading to many hybrid approaches, such as QM/CED, QM/PCM, QM/MM or ab initio QED. In this review, we summarize recent advances in the development of these hybrid models as well as their advantages and limitations, with a specific emphasis on the TDDFT‐based approaches. Some numerical simulations on the plasmon‐enhanced absorption and Raman spectroscopy, plasmon‐driven water splitting reaction and interfacial electronic injection dynamics in dye‐sensitized solar cell are demonstrated. This article is categorized under: Electronic Structure Theory &gt; Ab Initio Electronic Structure Methods Theoretical and Physical Chemistry &gt; Spectroscopy Software &gt; Quantum Chemistry Electronic Structure Theory &gt; Combined QM/MM Methods</description><identifier>ISSN: 1759-0876</identifier><identifier>EISSN: 1759-0884</identifier><identifier>DOI: 10.1002/wcms.1665</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc</publisher><subject>Analytical methods ; Atmospheric chemistry ; Computational chemistry ; Computer applications ; Continuum modeling ; Coupling (molecular) ; Density functional theory ; Dyes ; Electronic structure ; Electrons ; Mathematical models ; Mechanics ; Metals ; Modelling ; Molecular properties ; Nanoparticles ; Photocatalysis ; Photochemicals ; Photochemistry ; Photovoltaic cells ; Physical chemistry ; Plasmonics ; Quantum electrodynamics ; Quantum mechanics ; Raman spectroscopy ; Solar cells ; Solvation ; Spectroscopy ; Surface plasmon resonance ; Theories ; Water splitting</subject><ispartof>Wiley interdisciplinary reviews. Computational molecular science, 2023-09, Vol.13 (5), p.e1665</ispartof><rights>2023 Wiley Periodicals, LLC.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c257t-9929c545acc39bec36cc978b5ac00fc20f2959d21732150e3ee7a7fed661092f3</citedby><cites>FETCH-LOGICAL-c257t-9929c545acc39bec36cc978b5ac00fc20f2959d21732150e3ee7a7fed661092f3</cites><orcidid>0000-0002-5931-2901</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27911,27912</link.rule.ids></links><search><creatorcontrib>Liang, WanZhen</creatorcontrib><creatorcontrib>Huang, Jiaquan</creatorcontrib><creatorcontrib>Sun, Jin</creatorcontrib><creatorcontrib>Zhang, Pengcheng</creatorcontrib><creatorcontrib>Li, Akang</creatorcontrib><title>Multiscale modeling and simulation of surface‐enhanced spectroscopy and plasmonic photocatalysis</title><title>Wiley interdisciplinary reviews. Computational molecular science</title><description>Plasmonic metal nanoparticles (PMNPs) are capable of localized surface plasmon resonance (LSPR) and have become an important component in many experimental settings, such as the surface‐enhanced spectroscopy and plasmonic photocatalysts, in which PMNPs are used to regulate the nearby molecular photophysical and photochemical behaviors by means of the complex interplay between the plasmon and molecular quantum transitions. Building computational models of these coupled plasmon‐molecule systems can help us better understand the bound molecular properties and reactivity, and make better decisions to design and control such systems. Ab initio modeling the nanosystem remains highly challenging. Many hybrid quantum‐classical (or ‐quantum) computing models have thus been developed to model the coupled systems, in which the molecular system of interest is designated as the quantum mechanical (QM) sub‐region and treated by the excited‐state electronic structure approaches such as the time‐dependent density functional theory (TDDFT), while the electromagnetic response of PMNPs is usually described using either a computational/classical electrodynamic (CED) model, polarizable continuum model(PCM), a polarizable molecular mechanics (MM) force field, or a collective of optical oscillators in QED model, leading to many hybrid approaches, such as QM/CED, QM/PCM, QM/MM or ab initio QED. In this review, we summarize recent advances in the development of these hybrid models as well as their advantages and limitations, with a specific emphasis on the TDDFT‐based approaches. Some numerical simulations on the plasmon‐enhanced absorption and Raman spectroscopy, plasmon‐driven water splitting reaction and interfacial electronic injection dynamics in dye‐sensitized solar cell are demonstrated. This article is categorized under: Electronic Structure Theory &gt; Ab Initio Electronic Structure Methods Theoretical and Physical Chemistry &gt; Spectroscopy Software &gt; Quantum Chemistry Electronic Structure Theory &gt; Combined QM/MM Methods</description><subject>Analytical methods</subject><subject>Atmospheric chemistry</subject><subject>Computational chemistry</subject><subject>Computer applications</subject><subject>Continuum modeling</subject><subject>Coupling (molecular)</subject><subject>Density functional theory</subject><subject>Dyes</subject><subject>Electronic structure</subject><subject>Electrons</subject><subject>Mathematical models</subject><subject>Mechanics</subject><subject>Metals</subject><subject>Modelling</subject><subject>Molecular properties</subject><subject>Nanoparticles</subject><subject>Photocatalysis</subject><subject>Photochemicals</subject><subject>Photochemistry</subject><subject>Photovoltaic cells</subject><subject>Physical chemistry</subject><subject>Plasmonics</subject><subject>Quantum electrodynamics</subject><subject>Quantum mechanics</subject><subject>Raman spectroscopy</subject><subject>Solar cells</subject><subject>Solvation</subject><subject>Spectroscopy</subject><subject>Surface plasmon resonance</subject><subject>Theories</subject><subject>Water splitting</subject><issn>1759-0876</issn><issn>1759-0884</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNo9kM1KAzEQgIMoWGoPvsGCJw9b89Mkm6MUtULFi55DOpvYlOxm3WSR3nwEn9EncWvFucwwfPPDh9AlwXOCMb35gCbNiRD8BE2I5KrEVbU4_a-lOEezlHZ4jIUilJEJ2jwNIfsEJtiiibUNvn0rTFsXyTdDMNnHtoiuSEPvDNjvzy_bbk0LdgQ6C7mPCWK3_53ogklNbD0U3TbmCCabsE8-XaAzZ0Kys788Ra_3dy_LVbl-fnhc3q5LoFzmUimqgC-4AWBqY4EJACWrzdjA2AHFjiquakoko4Rjy6yVRjpbC0Gwoo5N0dVxb9fH98GmrHdx6NvxpKaVEELKiqiRuj5SMP6eeut01_vG9HtNsD5Y1AeL-mCR_QAHY2hI</recordid><startdate>202309</startdate><enddate>202309</enddate><creator>Liang, WanZhen</creator><creator>Huang, Jiaquan</creator><creator>Sun, Jin</creator><creator>Zhang, Pengcheng</creator><creator>Li, Akang</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>JQ2</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0002-5931-2901</orcidid></search><sort><creationdate>202309</creationdate><title>Multiscale modeling and simulation of surface‐enhanced spectroscopy and plasmonic photocatalysis</title><author>Liang, WanZhen ; Huang, Jiaquan ; Sun, Jin ; Zhang, Pengcheng ; Li, Akang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c257t-9929c545acc39bec36cc978b5ac00fc20f2959d21732150e3ee7a7fed661092f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analytical methods</topic><topic>Atmospheric chemistry</topic><topic>Computational chemistry</topic><topic>Computer applications</topic><topic>Continuum modeling</topic><topic>Coupling (molecular)</topic><topic>Density functional theory</topic><topic>Dyes</topic><topic>Electronic structure</topic><topic>Electrons</topic><topic>Mathematical models</topic><topic>Mechanics</topic><topic>Metals</topic><topic>Modelling</topic><topic>Molecular properties</topic><topic>Nanoparticles</topic><topic>Photocatalysis</topic><topic>Photochemicals</topic><topic>Photochemistry</topic><topic>Photovoltaic cells</topic><topic>Physical chemistry</topic><topic>Plasmonics</topic><topic>Quantum electrodynamics</topic><topic>Quantum mechanics</topic><topic>Raman spectroscopy</topic><topic>Solar cells</topic><topic>Solvation</topic><topic>Spectroscopy</topic><topic>Surface plasmon resonance</topic><topic>Theories</topic><topic>Water splitting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liang, WanZhen</creatorcontrib><creatorcontrib>Huang, Jiaquan</creatorcontrib><creatorcontrib>Sun, Jin</creatorcontrib><creatorcontrib>Zhang, Pengcheng</creatorcontrib><creatorcontrib>Li, Akang</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>ProQuest Computer Science Collection</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><jtitle>Wiley interdisciplinary reviews. Computational molecular science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liang, WanZhen</au><au>Huang, Jiaquan</au><au>Sun, Jin</au><au>Zhang, Pengcheng</au><au>Li, Akang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiscale modeling and simulation of surface‐enhanced spectroscopy and plasmonic photocatalysis</atitle><jtitle>Wiley interdisciplinary reviews. Computational molecular science</jtitle><date>2023-09</date><risdate>2023</risdate><volume>13</volume><issue>5</issue><spage>e1665</spage><pages>e1665-</pages><issn>1759-0876</issn><eissn>1759-0884</eissn><abstract>Plasmonic metal nanoparticles (PMNPs) are capable of localized surface plasmon resonance (LSPR) and have become an important component in many experimental settings, such as the surface‐enhanced spectroscopy and plasmonic photocatalysts, in which PMNPs are used to regulate the nearby molecular photophysical and photochemical behaviors by means of the complex interplay between the plasmon and molecular quantum transitions. Building computational models of these coupled plasmon‐molecule systems can help us better understand the bound molecular properties and reactivity, and make better decisions to design and control such systems. Ab initio modeling the nanosystem remains highly challenging. Many hybrid quantum‐classical (or ‐quantum) computing models have thus been developed to model the coupled systems, in which the molecular system of interest is designated as the quantum mechanical (QM) sub‐region and treated by the excited‐state electronic structure approaches such as the time‐dependent density functional theory (TDDFT), while the electromagnetic response of PMNPs is usually described using either a computational/classical electrodynamic (CED) model, polarizable continuum model(PCM), a polarizable molecular mechanics (MM) force field, or a collective of optical oscillators in QED model, leading to many hybrid approaches, such as QM/CED, QM/PCM, QM/MM or ab initio QED. In this review, we summarize recent advances in the development of these hybrid models as well as their advantages and limitations, with a specific emphasis on the TDDFT‐based approaches. Some numerical simulations on the plasmon‐enhanced absorption and Raman spectroscopy, plasmon‐driven water splitting reaction and interfacial electronic injection dynamics in dye‐sensitized solar cell are demonstrated. This article is categorized under: Electronic Structure Theory &gt; Ab Initio Electronic Structure Methods Theoretical and Physical Chemistry &gt; Spectroscopy Software &gt; Quantum Chemistry Electronic Structure Theory &gt; Combined QM/MM Methods</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/wcms.1665</doi><orcidid>https://orcid.org/0000-0002-5931-2901</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1759-0876
ispartof Wiley interdisciplinary reviews. Computational molecular science, 2023-09, Vol.13 (5), p.e1665
issn 1759-0876
1759-0884
language eng
recordid cdi_proquest_journals_2866677819
source Wiley Online Library Journals Frontfile Complete
subjects Analytical methods
Atmospheric chemistry
Computational chemistry
Computer applications
Continuum modeling
Coupling (molecular)
Density functional theory
Dyes
Electronic structure
Electrons
Mathematical models
Mechanics
Metals
Modelling
Molecular properties
Nanoparticles
Photocatalysis
Photochemicals
Photochemistry
Photovoltaic cells
Physical chemistry
Plasmonics
Quantum electrodynamics
Quantum mechanics
Raman spectroscopy
Solar cells
Solvation
Spectroscopy
Surface plasmon resonance
Theories
Water splitting
title Multiscale modeling and simulation of surface‐enhanced spectroscopy and plasmonic photocatalysis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T10%3A47%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multiscale%20modeling%20and%20simulation%20of%20surface%E2%80%90enhanced%20spectroscopy%20and%20plasmonic%20photocatalysis&rft.jtitle=Wiley%20interdisciplinary%20reviews.%20Computational%20molecular%20science&rft.au=Liang,%20WanZhen&rft.date=2023-09&rft.volume=13&rft.issue=5&rft.spage=e1665&rft.pages=e1665-&rft.issn=1759-0876&rft.eissn=1759-0884&rft_id=info:doi/10.1002/wcms.1665&rft_dat=%3Cproquest_cross%3E2866677819%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2866677819&rft_id=info:pmid/&rfr_iscdi=true