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Structural transformations in single-crystalline AgPd nanoalloys from multiscale deep potential molecular dynamics
AgPd nanoalloys often undergo structural evolution during catalytic reactions; the mechanism underlying such restructuring remains largely unknown due to the use of oversimplified interatomic potentials in simulations. Herein, a deep-learning potential is developed for AgPd nanoalloys based on a mul...
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Published in: | The Journal of chemical physics 2023-07, Vol.159 (2) |
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description | AgPd nanoalloys often undergo structural evolution during catalytic reactions; the mechanism underlying such restructuring remains largely unknown due to the use of oversimplified interatomic potentials in simulations. Herein, a deep-learning potential is developed for AgPd nanoalloys based on a multiscale dataset spanning from nanoclusters to bulk configurations, exhibits precise predictions of mechanical properties and formation energies with near-density functional theory accuracy, calculates the surface energies closer to experimental values compared to those obtained by Gupta potentials, and is applied to investigate the shape reconstruction of single-crystalline AgPd nanoalloys from cuboctahedron (Oh) to icosahedron (Ih) geometries. The Oh to Ih shape restructuring is thermodynamically favorable and occurs at 11 and 92 ps for Pd55@Ag254 and Ag147@Pd162 nanoalloys, respectively. During the shape reconstruction of Pd@Ag nanoalloys, concurrent surface restructuring of the (100) facet and internal multi-twinned phase change are observed with collaborative displacive characters. The presence of vacancies can influence the final product and reconstructing rate of Pd@Ag core–shell nanoalloys. The Ag outward diffusion on Ag@Pd nanoalloys is more pronounced in Ih geometry compared to Oh geometry and can be further accelerated by the Oh to Ih deformation. The deformation of single-crystalline Pd@Ag nanoalloys is characterized by a displacive transformation involving the collaborative displacement of a large number of atoms, distinguishing it from the diffusion-coupled transformation of Ag@Pd nanoalloys. |
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Herein, a deep-learning potential is developed for AgPd nanoalloys based on a multiscale dataset spanning from nanoclusters to bulk configurations, exhibits precise predictions of mechanical properties and formation energies with near-density functional theory accuracy, calculates the surface energies closer to experimental values compared to those obtained by Gupta potentials, and is applied to investigate the shape reconstruction of single-crystalline AgPd nanoalloys from cuboctahedron (Oh) to icosahedron (Ih) geometries. The Oh to Ih shape restructuring is thermodynamically favorable and occurs at 11 and 92 ps for Pd55@Ag254 and Ag147@Pd162 nanoalloys, respectively. During the shape reconstruction of Pd@Ag nanoalloys, concurrent surface restructuring of the (100) facet and internal multi-twinned phase change are observed with collaborative displacive characters. The presence of vacancies can influence the final product and reconstructing rate of Pd@Ag core–shell nanoalloys. The Ag outward diffusion on Ag@Pd nanoalloys is more pronounced in Ih geometry compared to Oh geometry and can be further accelerated by the Oh to Ih deformation. The deformation of single-crystalline Pd@Ag nanoalloys is characterized by a displacive transformation involving the collaborative displacement of a large number of atoms, distinguishing it from the diffusion-coupled transformation of Ag@Pd nanoalloys.</description><identifier>ISSN: 0021-9606</identifier><identifier>EISSN: 1089-7690</identifier><identifier>DOI: 10.1063/5.0158918</identifier><identifier>PMID: 37428049</identifier><identifier>CODEN: JCPSA6</identifier><language>eng</language><publisher>United States: American Institute of Physics</publisher><subject>Atomic properties ; Collaboration ; Deformation ; Density functional theory ; Diffusion rate ; Free energy ; Heat of formation ; Icosahedrons ; Mechanical properties ; Molecular dynamics ; Nanoalloys ; Nanoclusters ; Palladium ; Reconstruction ; Silver ; Single crystals ; Transformations</subject><ispartof>The Journal of chemical physics, 2023-07, Vol.159 (2)</ispartof><rights>Author(s)</rights><rights>2023 Author(s). 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Herein, a deep-learning potential is developed for AgPd nanoalloys based on a multiscale dataset spanning from nanoclusters to bulk configurations, exhibits precise predictions of mechanical properties and formation energies with near-density functional theory accuracy, calculates the surface energies closer to experimental values compared to those obtained by Gupta potentials, and is applied to investigate the shape reconstruction of single-crystalline AgPd nanoalloys from cuboctahedron (Oh) to icosahedron (Ih) geometries. The Oh to Ih shape restructuring is thermodynamically favorable and occurs at 11 and 92 ps for Pd55@Ag254 and Ag147@Pd162 nanoalloys, respectively. During the shape reconstruction of Pd@Ag nanoalloys, concurrent surface restructuring of the (100) facet and internal multi-twinned phase change are observed with collaborative displacive characters. The presence of vacancies can influence the final product and reconstructing rate of Pd@Ag core–shell nanoalloys. The Ag outward diffusion on Ag@Pd nanoalloys is more pronounced in Ih geometry compared to Oh geometry and can be further accelerated by the Oh to Ih deformation. The deformation of single-crystalline Pd@Ag nanoalloys is characterized by a displacive transformation involving the collaborative displacement of a large number of atoms, distinguishing it from the diffusion-coupled transformation of Ag@Pd nanoalloys.</description><subject>Atomic properties</subject><subject>Collaboration</subject><subject>Deformation</subject><subject>Density functional theory</subject><subject>Diffusion rate</subject><subject>Free energy</subject><subject>Heat of formation</subject><subject>Icosahedrons</subject><subject>Mechanical properties</subject><subject>Molecular dynamics</subject><subject>Nanoalloys</subject><subject>Nanoclusters</subject><subject>Palladium</subject><subject>Reconstruction</subject><subject>Silver</subject><subject>Single crystals</subject><subject>Transformations</subject><issn>0021-9606</issn><issn>1089-7690</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp90cFq3DAQBmBRGppN0kNfoAh6aQtORpJly8cQ2jQQSCDp2cjSOCjI0laSD_v2UbrbHnroaRj4-Bn-IeQDg3MGnbiQ58CkGph6QzYM1ND03QBvyQaAs2booDsmJzk_AwDrefuOHIu-5QraYUPSQ0mrKWvSnpakQ55jWnRxMWTqAs0uPHlsTNrlor13Aenl072lQYdY97jLdE5xocvqi8tGe6QWcUu3sWAoroYu0aNZvU7U7oJenMln5GjWPuP7wzwlP79_e7z60dzeXd9cXd42RihRmsFOE4cZWatk25recoEKzdSLtlNsYrKbei044GxwAAPdpBUHi7Lntq5WnJLP-9xtir9WzGVc6onovQ4Y1zxyJQYueS9FpZ_-oc9xTaFe96okr912vKove2VSzDnhPG6TW3TajQzG10eMcjw8otqPh8R1WtD-lX-ar-DrHmTjyu_C_5P2Amfgkic</recordid><startdate>20230714</startdate><enddate>20230714</enddate><creator>Guo, Longfei</creator><creator>Jin, Tao</creator><creator>Shan, Shuang</creator><creator>Tang, Quan</creator><creator>Li, Zhen</creator><creator>Wang, Chongyang</creator><creator>Wang, Junpeng</creator><creator>Pan, Bowei</creator><creator>Wang, Qiao</creator><creator>Chen, Fuyi</creator><general>American Institute of Physics</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7X8</scope><orcidid>https://orcid.org/0009-0002-7316-0382</orcidid><orcidid>https://orcid.org/0009-0008-3922-7428</orcidid><orcidid>https://orcid.org/0009-0001-3845-4732</orcidid><orcidid>https://orcid.org/0009-0002-9103-6107</orcidid><orcidid>https://orcid.org/0009-0007-5622-0546</orcidid><orcidid>https://orcid.org/0000-0002-2191-0930</orcidid><orcidid>https://orcid.org/0009-0007-4059-8704</orcidid></search><sort><creationdate>20230714</creationdate><title>Structural transformations in single-crystalline AgPd nanoalloys from multiscale deep potential molecular dynamics</title><author>Guo, Longfei ; 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the mechanism underlying such restructuring remains largely unknown due to the use of oversimplified interatomic potentials in simulations. Herein, a deep-learning potential is developed for AgPd nanoalloys based on a multiscale dataset spanning from nanoclusters to bulk configurations, exhibits precise predictions of mechanical properties and formation energies with near-density functional theory accuracy, calculates the surface energies closer to experimental values compared to those obtained by Gupta potentials, and is applied to investigate the shape reconstruction of single-crystalline AgPd nanoalloys from cuboctahedron (Oh) to icosahedron (Ih) geometries. The Oh to Ih shape restructuring is thermodynamically favorable and occurs at 11 and 92 ps for Pd55@Ag254 and Ag147@Pd162 nanoalloys, respectively. During the shape reconstruction of Pd@Ag nanoalloys, concurrent surface restructuring of the (100) facet and internal multi-twinned phase change are observed with collaborative displacive characters. The presence of vacancies can influence the final product and reconstructing rate of Pd@Ag core–shell nanoalloys. The Ag outward diffusion on Ag@Pd nanoalloys is more pronounced in Ih geometry compared to Oh geometry and can be further accelerated by the Oh to Ih deformation. The deformation of single-crystalline Pd@Ag nanoalloys is characterized by a displacive transformation involving the collaborative displacement of a large number of atoms, distinguishing it from the diffusion-coupled transformation of Ag@Pd nanoalloys.</abstract><cop>United States</cop><pub>American Institute of Physics</pub><pmid>37428049</pmid><doi>10.1063/5.0158918</doi><tpages>15</tpages><orcidid>https://orcid.org/0009-0002-7316-0382</orcidid><orcidid>https://orcid.org/0009-0008-3922-7428</orcidid><orcidid>https://orcid.org/0009-0001-3845-4732</orcidid><orcidid>https://orcid.org/0009-0002-9103-6107</orcidid><orcidid>https://orcid.org/0009-0007-5622-0546</orcidid><orcidid>https://orcid.org/0000-0002-2191-0930</orcidid><orcidid>https://orcid.org/0009-0007-4059-8704</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Atomic properties Collaboration Deformation Density functional theory Diffusion rate Free energy Heat of formation Icosahedrons Mechanical properties Molecular dynamics Nanoalloys Nanoclusters Palladium Reconstruction Silver Single crystals Transformations |
title | Structural transformations in single-crystalline AgPd nanoalloys from multiscale deep potential molecular dynamics |
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