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...
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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 |
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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</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 > Ab Initio Electronic Structure Methods
Theoretical and Physical Chemistry > Spectroscopy
Software > Quantum Chemistry
Electronic Structure Theory > 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 & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>ProQuest Computer Science Collection</collection><collection>Aquatic Science & 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 > Ab Initio Electronic Structure Methods
Theoretical and Physical Chemistry > Spectroscopy
Software > Quantum Chemistry
Electronic Structure Theory > 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> |
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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 |
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