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Wang J, Rozycki MT, Tong X, White MG. Aggregation of Size-Selected Oxide Clusters Deposited onto Au(111). LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2023; 39:13481-13492. [PMID: 37695694 DOI: 10.1021/acs.langmuir.3c01220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/13/2023]
Abstract
Kinetic Monte Carlo (kMC) simulations along with density functional theory (DFT) calculations were used to investigate the aggregation of size-selected Nb3Oy (y = 5, 6, 7) clusters deposited onto the Au(111) surface. Recent STM experiments showed that the cluster binding sites and sizes of the cluster assemblies on the Nb3Oy/Au(111) surfaces strongly depend on the stoichiometry of the clusters, i.e., the oxygen-to-niobium ratio. To better understand the origins of these differences, kMC simulations of the nucleation and growth of cluster assemblies were performed using energy barriers for diffusion and intercluster interactions estimated from DFT calculations of cluster binding and dimerization energies, respectively. Comparisons of the kMC simulations with STM images of the as-deposited Nb3Oy/Au(111) surfaces at RT and after high temperature annealing were used to further optimize the energetics and gauge the importance of nearest neighbor interactions. The kMC simulations demonstrate that the assembly of Nb3Oy clusters on Au(111) are largely controlled by the magnitude of the barriers for diffusion and interparticle-bond formation, while changes at higher temperatures are sensitive to the binding energies between nearest neighbors. Simulations for the Nb3O5 and Nb3O6 clusters, which exhibit smaller cluster assembly sizes in STM, required larger diffusion barriers as well as different barriers for interparticle binding, which reflected differences in DFT calculated dimerization energies. The results demonstrate the effectiveness of combined DFT and kMC calculations for understanding how the stoichiometry affects the aggregation of small oxide clusters on a metal surface.
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Affiliation(s)
- Jason Wang
- Department of Chemistry, Stony Book University, Stony Brook, New York 11794, United States
| | - Matthew Toledo Rozycki
- Department of Chemistry, Stony Book University, Stony Brook, New York 11794, United States
| | - Xiao Tong
- Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, New York 11973, United States
| | - Michael G White
- Department of Chemistry, Stony Book University, Stony Brook, New York 11794, United States
- Chemistry Division, Brookhaven National Laboratory, Upton, New York 11973, United States
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2
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Pineda M, Stamatakis M. Kinetic Monte Carlo simulations for heterogeneous catalysis: Fundamentals, current status, and challenges. J Chem Phys 2022; 156:120902. [DOI: 10.1063/5.0083251] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Kinetic Monte Carlo (KMC) simulations in combination with first-principles (1p)-based calculations are rapidly becoming the gold-standard computational framework for bridging the gap between the wide range of length scales and time scales over which heterogeneous catalysis unfolds. 1p-KMC simulations provide accurate insights into reactions over surfaces, a vital step toward the rational design of novel catalysts. In this Perspective, we briefly outline basic principles, computational challenges, successful applications, as well as future directions and opportunities of this promising and ever more popular kinetic modeling approach.
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Affiliation(s)
- M. Pineda
- Thomas Young Centre and Department of Chemical Engineering, University College London, Roberts Building, Torrington Place, London WC1E 7JE, United Kingdom
| | - M. Stamatakis
- Thomas Young Centre and Department of Chemical Engineering, University College London, Roberts Building, Torrington Place, London WC1E 7JE, United Kingdom
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3
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Abstract
The unprecedented ability of computations to probe atomic-level details of catalytic systems holds immense promise for the fundamentals-based bottom-up design of novel heterogeneous catalysts, which are at the heart of the chemical and energy sectors of industry. Here, we critically analyze recent advances in computational heterogeneous catalysis. First, we will survey the progress in electronic structure methods and atomistic catalyst models employed, which have enabled the catalysis community to build increasingly intricate, realistic, and accurate models of the active sites of supported transition-metal catalysts. We then review developments in microkinetic modeling, specifically mean-field microkinetic models and kinetic Monte Carlo simulations, which bridge the gap between nanoscale computational insights and macroscale experimental kinetics data with increasing fidelity. We finally review the advancements in theoretical methods for accelerating catalyst design and discovery. Throughout the review, we provide ample examples of applications, discuss remaining challenges, and provide our outlook for the near future.
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Affiliation(s)
- Benjamin W J Chen
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Lang Xu
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Manos Mavrikakis
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
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4
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Mahlberg D, Groß A. Vacancy assisted diffusion on single-atom surface alloys. Chemphyschem 2020; 22:29-39. [PMID: 33197083 PMCID: PMC7839753 DOI: 10.1002/cphc.202000838] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 11/13/2020] [Indexed: 11/08/2022]
Abstract
Bimetallic surfaces can exhibit an improved catalytic activity through tailoring the concentration and/or the arrangement of the two metallic components. However, in order to be catalytically active, the active bimetallic surface structure has to be stable under operating conditions. Typically, structural changes in metals occur via vacancy diffusion. Based on the first-principles determination of formation energies and diffusion barriers we have performed kinetic Monte-Carlo (kMC) simulations to analyse the (meta-)stability of PtRu/Ru(0001), AgPd/Pd(111), PtAu/Au(111) and InCu/Cu(100) surface alloys. In a first step, here we consider single-atom alloys together with one vacancy per simulation cell. We will present results of the time evolution of these structures and analyse them in terms of the interaction between the constituents of the bimetallic surface.
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Affiliation(s)
- David Mahlberg
- Institute of Theoretical Chemistry, Ulm University, 89069, Ulm, Germany
| | - Axel Groß
- Institute of Theoretical Chemistry, Ulm University, 89069, Ulm, Germany.,Helmholtz Institute Ulm (HIU), Electrochemical Energy Storage, 89069, Ulm, Germany
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5
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Xu L, Zhu FX. A new way to develop reaction network automatically via DFT-based adaptive kinetic Monte Carlo. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115746] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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6
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Smith B, Akimov AV. Modeling nonadiabatic dynamics in condensed matter materials: some recent advances and applications. JOURNAL OF PHYSICS. CONDENSED MATTER : AN INSTITUTE OF PHYSICS JOURNAL 2020; 32:073001. [PMID: 31661681 DOI: 10.1088/1361-648x/ab5246] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
This review focuses on recent developments in the field of nonadiabatic molecular dynamics (NA-MD), with particular attention given to condensed-matter systems. NA-MD simulations for small molecular systems can be performed using high-level electronic structure (ES) calculations, methods accounting for the quantization of nuclear motion, and using fewer approximations in the dynamical methodology itself. Modeling condensed-matter systems imposes many limitations on various aspects of NA-MD computations, requiring approximations at various levels of theory-from the ES, to the ways in which the coupling of electrons and nuclei are accounted for. Nonetheless, the approximate treatment of NA-MD in condensed-phase materials has gained a spin lately in many applied studies. A number of advancements of the methodology and computational tools have been undertaken, including general-purpose methods, as well as those tailored to nanoscale and condensed matter systems. This review summarizes such methodological and software developments, puts them into the broader context of existing approaches, and highlights some of the challenges that remain to be solved.
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Affiliation(s)
- Brendan Smith
- Department of Chemistry, University at Buffalo, The State University of New York, Buffalo, New York 14260-3000, United States of America
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7
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Bruix A, Margraf JT, Andersen M, Reuter K. First-principles-based multiscale modelling of heterogeneous catalysis. Nat Catal 2019. [DOI: 10.1038/s41929-019-0298-3] [Citation(s) in RCA: 131] [Impact Index Per Article: 26.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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8
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Matera S, Schneider WF, Heyden A, Savara A. Progress in Accurate Chemical Kinetic Modeling, Simulations, and Parameter Estimation for Heterogeneous Catalysis. ACS Catal 2019. [DOI: 10.1021/acscatal.9b01234] [Citation(s) in RCA: 94] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Sebastian Matera
- Fachbereich Mathematik and Informatik, Freie Universität, 14195 Berlin, Germany
| | - William F. Schneider
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Andreas Heyden
- Department of Chemical Engineering, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Aditya Savara
- Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States
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Hörmann NG, Andreussi O, Marzari N. Grand canonical simulations of electrochemical interfaces in implicit solvation models. J Chem Phys 2019; 150:041730. [DOI: 10.1063/1.5054580] [Citation(s) in RCA: 87] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Affiliation(s)
- Nicolas G. Hörmann
- Theory and Simulation of Materials (THEOS), and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Oliviero Andreussi
- Department of Physics, University of North Texas, Denton, Texas 76207, USA
| | - Nicola Marzari
- Theory and Simulation of Materials (THEOS), and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
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Huš M, Hellman A. Ethylene Epoxidation on Ag(100), Ag(110), and Ag(111): A Joint Ab Initio and Kinetic Monte Carlo Study and Comparison with Experiments. ACS Catal 2018. [DOI: 10.1021/acscatal.8b04512] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Matej Huš
- Chalmers University of Technology, Department of Physics, Fysikgränd 3, SE-41296 Gothenburg, Sweden
- National Institute of Chemistry, Department of Catalysis and Chemical Reaction Engineering, Hajdrihova 19, SI-1000 Ljubljana, Slovenia
| | - Anders Hellman
- Chalmers University of Technology, Department of Physics, Fysikgränd 3, SE-41296 Gothenburg, Sweden
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11
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Jørgensen M, Grönbeck H. MonteCoffee: A programmable kinetic Monte Carlo framework. J Chem Phys 2018; 149:114101. [DOI: 10.1063/1.5046635] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Affiliation(s)
- Mikkel Jørgensen
- Department of Physics and Competence Centre for Catalysis, Chalmers University of Technology, 412 96 Göteborg, Sweden
| | - Henrik Grönbeck
- Department of Physics and Competence Centre for Catalysis, Chalmers University of Technology, 412 96 Göteborg, Sweden
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12
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Mehar V, Kim M, Shipilin M, Van den Bossche M, Gustafson J, Merte LR, Hejral U, Grönbeck H, Lundgren E, Asthagiri A, Weaver JF. Understanding the Intrinsic Surface Reactivity of Single-Layer and Multilayer PdO(101) on Pd(100). ACS Catal 2018. [DOI: 10.1021/acscatal.8b02191] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Vikram Mehar
- Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611, United States
| | - Minkyu Kim
- William G. Lowrie Chemical & Biomolecular Engineering, The Ohio State University, Columbus, Ohio 43210, United States
| | - Mikhail Shipilin
- Division of Synchrotron Radiation Research, Lund University, SE-22100 Lund, Sweden
| | - Maxime Van den Bossche
- Department of Physics and Competence Centre for Catalysis, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
| | - Johan Gustafson
- Division of Synchrotron Radiation Research, Lund University, SE-22100 Lund, Sweden
| | - Lindsay R. Merte
- Materials Science and Applied Mathematics, Malmö University, SE-205 06 Malmö, Sweden
| | - Uta Hejral
- Division of Synchrotron Radiation Research, Lund University, SE-22100 Lund, Sweden
| | - Henrik Grönbeck
- Department of Physics and Competence Centre for Catalysis, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
| | - Edvin Lundgren
- Division of Synchrotron Radiation Research, Lund University, SE-22100 Lund, Sweden
| | - Aravind Asthagiri
- William G. Lowrie Chemical & Biomolecular Engineering, The Ohio State University, Columbus, Ohio 43210, United States
| | - Jason F. Weaver
- Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611, United States
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13
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Weaver JF, Choi J, Mehar V, Wu C. Kinetic Coupling among Metal and Oxide Phases during CO Oxidation on Partially Reduced PdO(101): Influence of Gas-Phase Composition. ACS Catal 2017. [DOI: 10.1021/acscatal.7b02570] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Jason F. Weaver
- Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611, United States
| | - Juhee Choi
- Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611, United States
| | - Vikram Mehar
- Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611, United States
| | - Chengjun Wu
- Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611, United States
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14
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Chun HJ, Apaja V, Clayborne A, Honkala K, Greeley J. Atomistic Insights into Nitrogen-Cycle Electrochemistry: A Combined DFT and Kinetic Monte Carlo Analysis of NO Electrochemical Reduction on Pt(100). ACS Catal 2017. [DOI: 10.1021/acscatal.7b00547] [Citation(s) in RCA: 135] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Hee-Joon Chun
- Davidson
School of Chemical Engineering, Purdue University, 480 Stadium Mall Drive, West Lafayette, Indiana 47907, United States
| | - Vesa Apaja
- Department
of Physics, Nanoscience Center, University of Jyväskylä, P.O. Box
35, FI-40014 Jyväskylä, Finland
| | - Andre Clayborne
- Department
of Chemistry, University of Missouri−Kansas City, 5110 Rockhill Road, Kansas City, Missouri 64110, United States
| | - Karoliina Honkala
- Department
of Chemistry, Nanoscience Center, University of Jyväskylä, P.O. Box
35, FI-40014 Jyväskylä, Finland
| | - Jeffrey Greeley
- Davidson
School of Chemical Engineering, Purdue University, 480 Stadium Mall Drive, West Lafayette, Indiana 47907, United States
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15
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Dou J, Sun Z, Opalade AA, Wang N, Fu W, Tao F(F. Operando chemistry of catalyst surfaces during catalysis. Chem Soc Rev 2017; 46:2001-2027. [DOI: 10.1039/c6cs00931j] [Citation(s) in RCA: 105] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The chemistry of a catalyst surface during catalysis is crucial for a fundamental understanding of the mechanisms of a catalytic reaction performed on the catalyst in the gas or liquid phase.
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Affiliation(s)
- Jian Dou
- Department of Chemical and Petroleum Engineering and Department of Chemistry
- University of Kansas
- Lawrence
- USA
| | - Zaicheng Sun
- Department of Chemistry and Chemical Engineering
- Beijing University of Technology
- Beijing
- China
| | - Adedamola A. Opalade
- Department of Chemical and Petroleum Engineering and Department of Chemistry
- University of Kansas
- Lawrence
- USA
| | - Nan Wang
- Department of Chemical and Petroleum Engineering and Department of Chemistry
- University of Kansas
- Lawrence
- USA
| | - Wensheng Fu
- Chongqing Key Laboratory of Green Synthesis and Applications and College of Chemistry
- Chongqing Normal University
- Chongqing
- China
| | - Franklin (Feng) Tao
- Department of Chemical and Petroleum Engineering and Department of Chemistry
- University of Kansas
- Lawrence
- USA
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16
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Piccinin S, Stamatakis M. Steady-State CO Oxidation on Pd(111): First-Principles Kinetic Monte Carlo Simulations and Microkinetic Analysis. Top Catal 2016. [DOI: 10.1007/s11244-016-0725-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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17
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Lorenzi JM, Matera S, Reuter K. Synergistic Inhibition of Oxide Formation in Oxidation Catalysis: A First-Principles Kinetic Monte Carlo Study of NO + CO Oxidation at Pd(100). ACS Catal 2016. [DOI: 10.1021/acscatal.6b01344] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Juan M. Lorenzi
- Chair
for Theoretical Chemistry and Catalysis Research Center, Technische Universität München, Lichtenbergstr. 4, 85747 Garching, Germany
| | - Sebastian Matera
- Fachbereich
f. Mathematik u. Informatik, Freie Universität Berlin, Otto-von-Simson-Str.
19, D-14195 Berlin, Germany
| | - Karsten Reuter
- Chair
for Theoretical Chemistry and Catalysis Research Center, Technische Universität München, Lichtenbergstr. 4, 85747 Garching, Germany
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19
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Wang T, Reuter K. Structure sensitivity in oxide catalysis: First-principles kinetic Monte Carlo simulations for CO oxidation at RuO2(111). J Chem Phys 2015; 143:204702. [DOI: 10.1063/1.4936354] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Tongyu Wang
- Chair for Theoretical Chemistry and Catalysis Research Center, Technische Universität München, Lichtenbergstr. 4, D-85747 Garching, Germany
| | - Karsten Reuter
- Chair for Theoretical Chemistry and Catalysis Research Center, Technische Universität München, Lichtenbergstr. 4, D-85747 Garching, Germany
- SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory and Stanford University, 443 Via Ortega, Stanford, California 94035-4300, USA
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20
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Kunz L, Kuhn FM, Deutschmann O. Kinetic Monte Carlo simulations of surface reactions on supported nanoparticles: A novel approach and computer code. J Chem Phys 2015; 143:044108. [DOI: 10.1063/1.4926924] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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