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Sumer A, Jellinek J. Computational Studies of Structural, Energetic and Electronic Properties of Pure Pt and Mo and Mixed Pt/Mo Clusters: Comparative Analysis of Characteristics and Trends. J Chem Phys 2022; 157:034301. [DOI: 10.1063/5.0099760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The added technological potential of bimetallic clusters and nanoparticles, as compared to their pure counterparts, stems from the ability to further fine-tune their properties, and, consequently, functionalities, through a simultaneous use of the "knobs" of size and composition. The practical realization of this potential can be greatly advanced by the knowledge of the correlations and relationships between the various characteristics of bimetallic nanosystems and those of their pure counterparts and constituent components. Here we present results of a density functional theory study of pure Ptn and Mon clusters aimed at revisiting and exploring further their structural, electronic and energetic properties. These are then used as a basis for analysis and characterization of the results of calculations on two-component Ptn-mMom clusters. The analysis also includes establishing relationships between the properties of the Ptn-mMom clusters and those of their Ptn-m and Mom components. A particularly intriguing findings suggested by the calculations is a linear dependence of the average binding energy per atom in sets of Ptn-mMom clusters that have the same fixed number m of Mo atoms and different number n-m of Pt atoms on the fractional content (n-m)/n of Pt atoms. We derive an analytical model that establishes the fundamental basis for this linearity and expresses its parameters - the m-dependent slope and intercept - in terms of characteristic properties of the constituent components, such as the average binding energy per atom of Mom and the average per-atom adsorption energy of the Pt atoms on Mom.
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Affiliation(s)
| | - Julius Jellinek
- Division of Chemical Sciences and Engineering, Argonne National Laboratory, United States of America
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Dawson W, Degomme A, Stella M, Nakajima T, Ratcliff LE, Genovese L. Density functional theory calculations of large systems: Interplay between fragments, observables, and computational complexity. WIRES COMPUTATIONAL MOLECULAR SCIENCE 2022. [DOI: 10.1002/wcms.1574] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
| | | | - Martina Stella
- Department of Materials Imperial College London London UK
| | | | | | - Luigi Genovese
- Université Grenoble Alpes, INAC‐MEM, L_Sim Grenoble France
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Verga LG, Mendes PCD, Ocampo-Restrepo VK, Da Silva JLF. Exploring the adsorption site coordination as a strategy to tune copper catalysts for CO2 electro-reduction. Catal Sci Technol 2022. [DOI: 10.1039/d1cy02010b] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
The atomistic engineering of the catalyst substrate was explored as a strategy to tune Cu catalysts for CO2 reduction towards different C1 products.
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Affiliation(s)
- Lucas G. Verga
- São Carlos Institute of Chemistry, University of São Paulo, P.O. Box 780, 13560-970, São Carlos, SP, Brazil
| | - Paulo C. D. Mendes
- São Carlos Institute of Chemistry, University of São Paulo, P.O. Box 780, 13560-970, São Carlos, SP, Brazil
| | | | - Juarez L. F. Da Silva
- São Carlos Institute of Chemistry, University of São Paulo, P.O. Box 780, 13560-970, São Carlos, SP, Brazil
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Zeni C, Rossi K, Pavloudis T, Kioseoglou J, de Gironcoli S, Palmer RE, Baletto F. Data-driven simulation and characterisation of gold nanoparticle melting. Nat Commun 2021; 12:6056. [PMID: 34663814 PMCID: PMC8523526 DOI: 10.1038/s41467-021-26199-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 09/07/2021] [Indexed: 11/09/2022] Open
Abstract
The simulation and analysis of the thermal stability of nanoparticles, a stepping stone towards their application in technological devices, require fast and accurate force fields, in conjunction with effective characterisation methods. In this work, we develop efficient, transferable, and interpretable machine learning force fields for gold nanoparticles based on data gathered from Density Functional Theory calculations. We use them to investigate the thermodynamic stability of gold nanoparticles of different sizes (1 to 6 nm), containing up to 6266 atoms, concerning a solid-liquid phase change through molecular dynamics simulations. We predict nanoparticle melting temperatures in good agreement with available experimental data. Furthermore, we characterize the solid-liquid phase change mechanism employing an unsupervised learning scheme to categorize local atomic environments. We thus provide a data-driven definition of liquid atomic arrangements in the inner and surface regions of a nanoparticle and employ it to show that melting initiates at the outer layers.
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Affiliation(s)
- Claudio Zeni
- Department of Physics, King's College London, London, WC2R 2LS, UK.
- International School for Advanced Studies, Via Bonomea, 265, 34136, Trieste, Italy.
| | - Kevin Rossi
- Department of Physics, King's College London, London, WC2R 2LS, UK
- Laboratory of Nanochemistry, Institute of Chemistry and Chemical Engineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Theodore Pavloudis
- College of Engineering, Swansea University, Bay Campus, Fabian Way, Swansea, SA1 8EB, UK
- Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, GR-54124, Greece
| | - Joseph Kioseoglou
- Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, GR-54124, Greece
| | - Stefano de Gironcoli
- International School for Advanced Studies, Via Bonomea, 265, 34136, Trieste, Italy
| | - Richard E Palmer
- College of Engineering, Swansea University, Bay Campus, Fabian Way, Swansea, SA1 8EB, UK
| | - Francesca Baletto
- Department of Physics, King's College London, London, WC2R 2LS, UK
- DIPC, Paseo Manuel de Lardizabal, 20018, San Sebastian, Spain
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Fortouna Y, de Vera P, Verkhovtsev AV, Solov’yov AV. Molecular dynamics simulations of sodium nanoparticle deposition on magnesium oxide. Theor Chem Acc 2021. [DOI: 10.1007/s00214-021-02780-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Baletto F. Structural properties of sub-nanometer metallic clusters. JOURNAL OF PHYSICS. CONDENSED MATTER : AN INSTITUTE OF PHYSICS JOURNAL 2019; 31:113001. [PMID: 30562724 DOI: 10.1088/1361-648x/aaf989] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
At the nanoscale, the investigation of structural features becomes fundamental as we can establish relationships between cluster geometries and their physicochemical properties. The peculiarity lies in the variety of shapes often unusual and far from any geometrical and crystallographic intuition clusters can assume. In this respect, we should treat and consider nanoparticles as a new form of matter. Nanoparticle structures depend on their size, chemical composition, ordering, as well as external conditions e.g. synthesis method, pressure, temperature, support. On top of that, at finite temperatures nanoparticles can fluctuate among different structures, opening new and exciting horizons for the design of optimal nanoparticles for advanced applications. This article aims to overview geometrical features of transition metal clusters and of their various rearrangements.
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Affiliation(s)
- Francesca Baletto
- Physics Department, King's College London, WC2R 2LS, London, United Kingdom
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Van Aert S, De Backer A, Jones L, Martinez GT, Béché A, Nellist PD. Control of Knock-On Damage for 3D Atomic Scale Quantification of Nanostructures: Making Every Electron Count in Scanning Transmission Electron Microscopy. PHYSICAL REVIEW LETTERS 2019; 122:066101. [PMID: 30822049 DOI: 10.1103/physrevlett.122.066101] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Revised: 01/14/2019] [Indexed: 06/09/2023]
Abstract
Understanding nanostructures down to the atomic level is the key to optimizing the design of advanced materials with revolutionary novel properties. This requires characterization methods capable of quantifying the three-dimensional (3D) atomic structure with the highest possible precision. A successful approach to reach this goal is to count the number of atoms in each atomic column from 2D annular dark field scanning transmission electron microscopy images. To count atoms with single atom sensitivity, a minimum electron dose has been shown to be necessary, while on the other hand beam damage, induced by the high energy electrons, puts a limit on the tolerable dose. An important challenge is therefore to develop experimental strategies to optimize the electron dose by balancing atom-counting fidelity vs the risk of knock-on damage. To achieve this goal, a statistical framework combined with physics-based modeling of the dose-dependent processes is here proposed and experimentally verified. This model enables an investigator to theoretically predict, in advance of an experimental measurement, the optimal electron dose resulting in an unambiguous quantification of nanostructures in their native state with the highest attainable precision.
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Affiliation(s)
- Sandra Van Aert
- EMAT, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium
| | - Annick De Backer
- EMAT, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium
| | - Lewys Jones
- Department of Materials, University of Oxford, 16 Parks Road, Oxford OX1 3PH, United Kingdom
- Advanced Microscopy Laboratory, Centre for Research on Adaptive Nanostructures and Nanodevices (CRANN), Dublin 2, Ireland
- School of Physics, Trinity College Dublin, The University of Dublin, Dublin 2, Ireland
| | - Gerardo T Martinez
- EMAT, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium
- Department of Materials, University of Oxford, 16 Parks Road, Oxford OX1 3PH, United Kingdom
| | - Armand Béché
- EMAT, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium
| | - Peter D Nellist
- Department of Materials, University of Oxford, 16 Parks Road, Oxford OX1 3PH, United Kingdom
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