1
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Zhang H, Khan MA, Yan T, Fichthorn KA. Size and temperature dependent shapes of copper nanocrystals using parallel tempering molecular dynamics. NANOSCALE 2024; 16:11146-11155. [PMID: 38506642 DOI: 10.1039/d4nr00317a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/21/2024]
Abstract
We performed parallel-tempering molecular dynamics simulations to predict the temperature- and size-dependent equilibrium shapes of a series of Cu nanocrystals in the 100- to 200-atom size range. Our study indicates that temperature-dependent, solid-solid shape transitions occur frequently for Cu nanocrystals in this size range. Complementary calculations with electronic density functional theory indicate that vibrational entropy favors nanocrystals with a shape intermediate between a decahedron and an icosahedron. Overall, we find that entropy plays a significant role in determining the shapes Cu nanocrystals, so studies aimed at determining minimum-energy shapes may fail to correctly predict shapes observed at experimental temperatures. We also observe significant shape changes with nanocrystal size - sometimes with changes in a single atom. The information from this study could be useful in efforts to devise processing routes to achieve selective nanocrystal shapes.
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Affiliation(s)
- Huaizhong Zhang
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
| | - Mohd Ahmed Khan
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
| | - Tianyu Yan
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
| | - Kristen A Fichthorn
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
- Department of Physics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
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2
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Dearg M, Lethbridge S, McCormack J, Palmer RE, Slater TJA. Characterisation of the morphology of surface-assembled Au nanoclusters on amorphous carbon. NANOSCALE 2024; 16:10827-10832. [PMID: 38768221 DOI: 10.1039/d4nr00978a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
In this study, aberration-corrected scanning transmission electron microscopy is employed to investigate the morphology of Au clusters formed from the aggregation of single atoms sputtered onto an amorphous carbon surface. The morphologies of surface-assembled clusters of N > 100 atoms are referenced against the morphologies of size-selected clusters determined from previously published results. We observe that surface-assembled clusters (at the conditions employed here) are approximately spherical in shape. The structural isomers of the imaged clusters have also been identified, and the distribution of structural types is broadly in agreement with those from size-selected cluster deposition sources. For clusters of approximately 147 atoms, we find a preference for icosahedra over decahedra and truncated octahedra, but at this size there is a high proportion of unidentified/amorphous structures. At around 309 atoms, we find a preference for decahedra over icosahedra and truncated octahedra, but over half the structures remain unidentifiable/amorphous. For sizes above approximately 561 atoms we are able to identify most of the structures, and find decahedra are still the most favoured, although in competition with single-crystal fcc morphologies. The similarity in structure between surface-assembled and size-selected clusters from a cluster source provides evidence of the relevance of size-selected cluster studies to clusters synthesised by other, industrially relevant, methodologies.
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Affiliation(s)
- Malcolm Dearg
- Cardiff Catalysis Institute, School of Chemistry, Cardiff University, Cardiff, CF24 4HQ, UK.
- School of Physics, Engineering and Technology, University of York, York, YO10 5DD, UK
| | - Sean Lethbridge
- Nanomaterials Lab, Department of Mechanical Engineering, Faculty of Science and Engineering, Swansea University, Bay Campus, Swansea, SA1 8EN, UK
| | - James McCormack
- Nanomaterials Lab, Department of Mechanical Engineering, Faculty of Science and Engineering, Swansea University, Bay Campus, Swansea, SA1 8EN, UK
| | - Richard E Palmer
- Nanomaterials Lab, Department of Mechanical Engineering, Faculty of Science and Engineering, Swansea University, Bay Campus, Swansea, SA1 8EN, UK
| | - Thomas J A Slater
- Cardiff Catalysis Institute, School of Chemistry, Cardiff University, Cardiff, CF24 4HQ, UK.
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3
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Yan T, Zhang H, Fichthorn KA. Minimum Free-Energy Shapes of Ag Nanocrystals: Vacuum vs Solution. ACS NANO 2023; 17:19288-19304. [PMID: 37781898 DOI: 10.1021/acsnano.3c06395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
We use two variants of replica-exchange molecular dynamics (MD) simulations, parallel tempering MD and partial replica exchange MD, to probe the minimum free-energy shapes of Ag nanocrystals containing 100-200 atoms in a vacuum, ethylene glycol (EG) solvent, and EG solvent with a PVP polymer containing 100 repeat units. Our simulations reveal a shape intermediate between a Dh and an Ih, a Dh-Ih, that has distinct structural signatures and magic sizes. We find several prominent features associated with entropy: pure FCC nanocrystals are less common than FCC crystals containing stacking faults, and crystals with the minimum potential energy are not always preferred over the range of relevant temperatures. The shapes of the nanocrystals in solution are influenced by the chemical identities of the solution-phase molecules. Comparing Ag nanocrystal shapes in EG to those in an EG+PVP solution, we find more icosahedra in EG and more decahedra in EG+PVP across all of the nanocrystal sizes probed in this study. At certain critical sizes, nanocrystal shapes can change dramatically with the addition and removal of a single atom or with a change in temperature at a fixed size. The information in our study could be useful in efforts to devise processing routes to achieve selective nanocrystal shapes.
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Affiliation(s)
- Tianyu Yan
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Huaizhong Zhang
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Kristen A Fichthorn
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Department of Physics, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
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4
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Settem M, Roncaglia C, Ferrando R, Giacomello A. Structural transformations in Cu, Ag, and Au metal nanoclusters. J Chem Phys 2023; 159:094303. [PMID: 37668252 DOI: 10.1063/5.0159257] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 08/15/2023] [Indexed: 09/06/2023] Open
Abstract
Finite-temperature structures of Cu, Ag, and Au metal nanoclusters are calculated in the entire temperature range from 0 K to melting using a computational methodology that we proposed recently [M. Settem et al., Nanoscale 14, 939 (2022)]. In this method, Harmonic Superposition Approximation (HSA) and Parallel Tempering Molecular Dynamics (PTMD) are combined in a complementary manner. HSA is accurate at low temperatures and fails at higher temperatures. PTMD, on the other hand, effectively samples the high temperature region and melts. This method is used to study the size- and system-dependent competition between various structural motifs of Cu, Ag, and Au nanoclusters in the size range 1-2 nm. Results show that there are mainly three types of structural changes in metal nanoclusters, depending on whether a solid-solid transformation occurs. In the first type, the global minimum is the dominant motif in the entire temperature range. In contrast, when a solid-solid transformation occurs, the global minimum transforms either completely to a different motif or partially, resulting in the co-existence of multiple motifs. Finally, nanocluster structures are analyzed to highlight the system-specific differences across the three metals.
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Affiliation(s)
- Manoj Settem
- Dipartimento di Ingegneria Meccanica e Aerospaziale, Sapienza Università di Roma, via Eudossiana 18, 00184 Roma, Italy
| | - Cesare Roncaglia
- Dipartimento di Fisica dell'Università di Genova, via Dodecaneso 33, 16146 Genova, Italy
| | - Riccardo Ferrando
- Dipartimento di Fisica dell'Università di Genova and CNR-IMEM, via Dodecaneso 33, 16146 Genova, Italy
| | - Alberto Giacomello
- Dipartimento di Ingegneria Meccanica e Aerospaziale, Sapienza Università di Roma, via Eudossiana 18, 00184 Roma, Italy
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5
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Salomon G, Tarrat N, Schön JC, Rapacioli M. Low-Energy Transformation Pathways between Naphthalene Isomers. Molecules 2023; 28:5778. [PMID: 37570748 PMCID: PMC10420886 DOI: 10.3390/molecules28155778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/13/2023] Open
Abstract
The transformation pathways between low-energy naphthalene isomers are studied by investigating the topology of the energy landscape of this astrophysically relevant molecule. The threshold algorithm is used to identify the minima basins of the isomers on the potential energy surface of the system and to evaluate the probability flows between them. The transition pathways between the different basins and the associated probabilities were investigated for several lid energies up to 11 eV, this value being close to the highest photon energy in the interstellar medium (13.6 eV). More than a hundred isomers were identified and a set of 23 minima was selected among them, on the basis of their energy and probability of occurrence. The return probabilities of these 23 minima and the transition probabilities between them were computed for several lid energies up to 11 eV. The first connection appeared at 3.5 eV while all minima were found to be connected at 9.5 eV. The local density of state was also sampled inside their respective basins. This work gives insight into both energy and entropic barriers separating the different basins, which also provides information about the transition regions of the energy landscape.
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Affiliation(s)
- Grégoire Salomon
- ISAE-SUPAERO, 10 Avenue Édouard-Belin BP 54032, 31055 Toulouse CEDEX 4, France
- CEMES, Université de Toulouse, CNRS, 29 Rue Jeanne Marvig, 31055 Toulouse, France
- MPI for Solid State Research, Heisenbergstr. 1, D-70569 Stuttgart, Germany
- Laboratoire de Chimie et Physique Quantiques LCPQ/IRSAMC, UMR5626, Université de Toulouse (UPS) and CNRS, 31062 Toulouse, France
| | - Nathalie Tarrat
- CEMES, Université de Toulouse, CNRS, 29 Rue Jeanne Marvig, 31055 Toulouse, France
| | - J. Christian Schön
- MPI for Solid State Research, Heisenbergstr. 1, D-70569 Stuttgart, Germany
| | - Mathias Rapacioli
- Laboratoire de Chimie et Physique Quantiques LCPQ/IRSAMC, UMR5626, Université de Toulouse (UPS) and CNRS, 31062 Toulouse, France
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6
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Fronzi M, Amos RD, Kobayashi R. Evaluation of Machine Learning Interatomic Potentials for Gold Nanoparticles-Transferability towards Bulk. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:1832. [PMID: 37368262 DOI: 10.3390/nano13121832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 05/22/2023] [Accepted: 06/06/2023] [Indexed: 06/28/2023]
Abstract
We analyse the efficacy of machine learning (ML) interatomic potentials (IP) in modelling gold (Au) nanoparticles. We have explored the transferability of these ML models to larger systems and established simulation times and size thresholds necessary for accurate interatomic potentials. To achieve this, we compared the energies and geometries of large Au nanoclusters using VASP and LAMMPS and gained better understanding of the number of VASP simulation timesteps required to generate ML-IPs that can reproduce the structural properties. We also investigated the minimum atomic size of the training set necessary to construct ML-IPs that accurately replicate the structural properties of large Au nanoclusters, using the LAMMPS-specific heat of the Au147 icosahedral as reference. Our findings suggest that minor adjustments to a potential developed for one system can render it suitable for other systems. These results provide further insight into the development of accurate interatomic potentials for modelling Au nanoparticles through machine learning techniques.
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Affiliation(s)
- Marco Fronzi
- School of Chemical and Biomedical Engineering, University of Melbourne, Parkville, VIC 3010, Australia
- School of Mathematical and Physical Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Roger D Amos
- School of Mathematical and Physical Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Rika Kobayashi
- Supercomputer Facility, Australian National University, Canberra, ACT 2601, Australia
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7
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Abstract
A significant challenge in the development of functional materials is understanding the growth and transformations of anisotropic colloidal metal nanocrystals. Theory and simulations can aid in the development and understanding of anisotropic nanocrystal syntheses. The focus of this review is on how results from first-principles calculations and classical techniques, such as Monte Carlo and molecular dynamics simulations, have been integrated into multiscale theoretical predictions useful in understanding shape-selective nanocrystal syntheses. Also, examples are discussed in which machine learning has been useful in this field. There are many areas at the frontier in condensed matter theory and simulation that are or could be beneficial in this area and these prospects for future progress are discussed.
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Affiliation(s)
- Kristen A Fichthorn
- Department of Chemical Engineering and Department of Physics The Pennsylvania State University University Park, Pennsylvania 16803 United States
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8
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de Mendonça JPA, Calderan FV, Lourenço TC, Quiles MG, Da Silva JLF. Theoretical Framework Based on Molecular Dynamics and Data Mining Analyses for the Study of Potential Energy Surfaces of Finite-Size Particles. J Chem Inf Model 2022; 62:5503-5512. [DOI: 10.1021/acs.jcim.2c00957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- João Paulo A. de Mendonça
- São Carlos Institute of Chemistry, University of São Paulo, P.O. Box 780, 13560-970 São Carlos, São Paulo, Brazil
| | - Felipe V. Calderan
- Institute of Science and Technology, Federal University of São Paulo, 01016 020 São José dos Campos, São Paulo, Brazil
| | - Tuanan C. Lourenço
- São Carlos Institute of Chemistry, University of São Paulo, P.O. Box 780, 13560-970 São Carlos, São Paulo, Brazil
| | - Marcos G. Quiles
- Institute of Science and Technology, Federal University of São Paulo, 01016 020 São José dos Campos, São Paulo, Brazil
| | - Juarez L. F. Da Silva
- São Carlos Institute of Chemistry, University of São Paulo, P.O. Box 780, 13560-970 São Carlos, São Paulo, Brazil
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9
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Cao L, Guo Y, Han W, Xu W, Sai L, Fu J. Artificial neural network potential for Au 20clusters based on the first-principles. JOURNAL OF PHYSICS. CONDENSED MATTER : AN INSTITUTE OF PHYSICS JOURNAL 2022; 34:174005. [PMID: 35086072 DOI: 10.1088/1361-648x/ac4f7d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 01/27/2022] [Indexed: 06/14/2023]
Abstract
The search of ground-state structures (GSSs) of gold (Au) clusters is a formidable challenge due to the complexity of potential energy surface (PES). In this work, we have built a high-dimensional artificial neural network (ANN) potential to describe the PES of Au20clusters. The ANN potential is trained through learning the GSS search process of Au20by the combination of density functional theory (DFT) method and genetic algorithm. The root mean square errors of energy and force are 7.72 meV atom-1and 217.02 meV Å-1, respectively. As a result, it can find the lowest-energy structure (LES) of Au20clusters that is consistent with previous results. Furthermore, the scalability test shows that it can predict the energy of smaller size Au16-19clusters with errors less than 22.85 meV atom-1, and for larger size Au21-25clusters, the errors are below 36.94 meV atom-1. Extra attention should be paid to its accuracy for Au21-25clusters. Applying the ANN to search the GSSs of Au16-25, we discover two new structures of Au16and Au21that are not reported before and several candidate LESs of Au16-18. In summary, this work proves that an ANN potential trained for specific size clusters could reproduce the GSS search process by DFT and be applied in the GSS search of smaller size clusters nearby. Therefore, we claim that building ANN potential based on DFT data is one of the most promising ways to effectively accelerate the GSS pre-screening of clusters.
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Affiliation(s)
- Lingzhi Cao
- Institute of High Pressure Physics, School of Physical Science and Technology, Ningbo University, Ningbo 315211, People's Republic of China
- School of Physical Science and Technology, Ningbo University, Ningbo 315211, People's Republic of China
| | - Yibo Guo
- Institute of High Pressure Physics, School of Physical Science and Technology, Ningbo University, Ningbo 315211, People's Republic of China
- School of Physical Science and Technology, Ningbo University, Ningbo 315211, People's Republic of China
| | - Wenhua Han
- School of Physical Science and Technology, Ningbo University, Ningbo 315211, People's Republic of China
| | - Wenwu Xu
- School of Physical Science and Technology, Ningbo University, Ningbo 315211, People's Republic of China
| | - Linwei Sai
- College of Science, Hohai University, Changzhou 213022, People's Republic of China
| | - Jie Fu
- Institute of High Pressure Physics, School of Physical Science and Technology, Ningbo University, Ningbo 315211, People's Republic of China
- School of Physical Science and Technology, Ningbo University, Ningbo 315211, People's Republic of China
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10
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Settem M, Ferrando R, Giacomello A. Tempering of Au nanoclusters: capturing the temperature-dependent competition among structural motifs. NANOSCALE 2022; 14:939-952. [PMID: 34988565 DOI: 10.1039/d1nr05078h] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
A computational approach to determine the equilibrium structures of nanoclusters in the whole temperature range from 0 K to melting is developed. Our approach relies on Parallel Tempering Molecular Dynamics (PTMD) simulations complemented by Harmonic Superposition Approximation (HSA) calculations and global optimization searches, thus combining the accuracy of global optimization and HSA in describing the low-energy part of configuration space, together with the PTMD thorough sampling of high-energy configurations. This combined methodology is shown to be instrumental towards revealing the temperature-dependent structural motifs in Au nanoclusters of sizes 90, 147, and 201 atoms. The reported phenomenology is particularly rich, displaying a size- and temperature-dependent competition between the global energy minimum and other structural motifs. In the case of Au90 and Au147, the global minimum is also the dominant structure at finite temperatures. In contrast, the Au201 cluster undergoes a solid-solid transformation at low temperature (<200 K). Results indicate that PTMD and HSA very well agree at intermediate temperatures, between 300 and 400 K. For higher temperatures, PTMD gives an accurate description of equilibrium, while HSA fails in describing the melting range. On the other hand, HSA is more efficient in catching low-temperature structural transitions. Finally, we describe the elusive structures close to the melting region which can present complex and defective geometries, that are otherwise difficult to characterize through experimental imaging.
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Affiliation(s)
- Manoj Settem
- Dipartimento di Ingegneria Meccanica e Aerospaziale, Sapienza Università di Roma, via Eudossiana 18, 00184 Roma, Italy.
| | - Riccardo Ferrando
- Dipartimento di Fisica dell'Università di Genova and CNR-IMEM, via Dodecaneso 33, 16146 Genova, Italy.
| | - Alberto Giacomello
- Dipartimento di Ingegneria Meccanica e Aerospaziale, Sapienza Università di Roma, via Eudossiana 18, 00184 Roma, Italy.
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11
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Preface to the special collection in honor of Fernand Spiegelman. Theor Chem Acc 2021. [DOI: 10.1007/s00214-021-02826-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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12
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Exploring energy landscapes at the DFTB quantum level using the threshold algorithm: the case of the anionic metal cluster Au$$_{20}^{-}$$. Theor Chem Acc 2021. [DOI: 10.1007/s00214-021-02748-7] [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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13
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Sousa AA, Schuck P, Hassan SA. Biomolecular interactions of ultrasmall metallic nanoparticles and nanoclusters. NANOSCALE ADVANCES 2021; 3:2995-3027. [PMID: 34124577 PMCID: PMC8168927 DOI: 10.1039/d1na00086a] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 04/16/2021] [Indexed: 05/03/2023]
Abstract
The use of nanoparticles (NPs) in biomedicine has made a gradual transition from proof-of-concept to clinical applications, with several NP types meeting regulatory approval or undergoing clinical trials. A new type of metallic nanostructures called ultrasmall nanoparticles (usNPs) and nanoclusters (NCs), while retaining essential properties of the larger (classical) NPs, have features common to bioactive proteins. This combination expands the potential use of usNPs and NCs to areas of diagnosis and therapy traditionally reserved for small-molecule medicine. Their distinctive physicochemical properties can lead to unique in vivo behaviors, including improved renal clearance and tumor distribution. Both the beneficial and potentially deleterious outcomes (cytotoxicity, inflammation) can, in principle, be controlled through a judicious choice of the nanocore shape and size, as well as the chemical ligands attached to the surface. At present, the ability to control the behavior of usNPs is limited, partly because advances are still needed in nanoengineering and chemical synthesis to manufacture and characterize ultrasmall nanostructures and partly because our understanding of their interactions in biological environments is incomplete. This review addresses the second limitation. We review experimental and computational methods currently available to understand molecular mechanisms, with particular attention to usNP-protein complexation, and highlight areas where further progress is needed. We discuss approaches that we find most promising to provide relevant molecular-level insight for designing usNPs with specific behaviors and pave the way to translational applications.
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Affiliation(s)
- Alioscka A Sousa
- Department of Biochemistry, Federal University of São Paulo São Paulo SP 04044 Brazil
| | - Peter Schuck
- National Institute of Biomedical Imaging and Bioengineering, NIH Bethesda MD 20892 USA
| | - Sergio A Hassan
- BCBB, National Institute of Allergy and Infectious Diseases, NIH Bethesda MD 20892 USA
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14
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Jindal S, Bulusu SS. Structural evolution in gold nanoparticles using artificial neural network based interatomic potentials. J Chem Phys 2020; 152:154302. [PMID: 32321271 DOI: 10.1063/1.5142903] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Shweta Jindal
- Discipline of Chemistry, Indian Institute of Technology Indore, Simrol, Indore 453552, India
| | - Satya S. Bulusu
- Discipline of Chemistry, Indian Institute of Technology Indore, Simrol, Indore 453552, India
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15
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Spiegelman F, Tarrat N, Cuny J, Dontot L, Posenitskiy E, Martí C, Simon A, Rapacioli M. Density-functional tight-binding: basic concepts and applications to molecules and clusters. ADVANCES IN PHYSICS: X 2020; 5:1710252. [PMID: 33154977 PMCID: PMC7116320 DOI: 10.1080/23746149.2019.1710252] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 12/19/2019] [Indexed: 06/10/2023] Open
Abstract
The scope of this article is to present an overview of the Density Functional based Tight Binding (DFTB) method and its applications. The paper introduces the basics of DFTB and its standard formulation up to second order. It also addresses methodological developments such as third order expansion, inclusion of non-covalent interactions, schemes to solve the self-interaction error, implementation of long-range short-range separation, treatment of excited states via the time-dependent DFTB scheme, inclusion of DFTB in hybrid high-level/low level schemes (DFT/DFTB or DFTB/MM), fragment decomposition of large systems, large scale potential energy landscape exploration with molecular dynamics in ground or excited states, non-adiabatic dynamics. A number of applications are reviewed, focusing on -(i)- the variety of systems that have been studied such as small molecules, large molecules and biomolecules, bare orfunctionalized clusters, supported or embedded systems, and -(ii)- properties and processes, such as vibrational spectroscopy, collisions, fragmentation, thermodynamics or non-adiabatic dynamics. Finally outlines and perspectives are given.
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Affiliation(s)
- Fernand Spiegelman
- Laboratoire de Chimie et Physique Quantiques LCPQ/IRSAMC, UMR5626, Université de Toulouse (UPS)and CNRS, Toulouse, France
| | - Nathalie Tarrat
- CEMES, Université de Toulouse (UPS), CNRS, UPR8011, Toulouse, Toulouse, France
| | - Jérôme Cuny
- Laboratoire de Chimie et Physique Quantiques LCPQ/IRSAMC, UMR5626, Université de Toulouse (UPS)and CNRS, Toulouse, France
| | - Leo Dontot
- Laboratoire de Chimie et Physique Quantiques LCPQ/IRSAMC, UMR5626, Université de Toulouse (UPS)and CNRS, Toulouse, France
| | - Evgeny Posenitskiy
- Laboratoire Collisions Agrégats et Réactivité LCAR/IRSAMC, UMR5589, Université de Toulouse (UPS) and CNRS, Toulouse, France
| | - Carles Martí
- Laboratoire de Chimie et Physique Quantiques LCPQ/IRSAMC, UMR5626, Université de Toulouse (UPS)and CNRS, Toulouse, France
- Laboratoire de Chimie, UMR5182, Ecole Normale Supérieure de Lyon, Université de Lyon and CNRS, Lyon, France
| | - Aude Simon
- Laboratoire de Chimie et Physique Quantiques LCPQ/IRSAMC, UMR5626, Université de Toulouse (UPS)and CNRS, Toulouse, France
| | - Mathias Rapacioli
- Laboratoire de Chimie et Physique Quantiques LCPQ/IRSAMC, UMR5626, Université de Toulouse (UPS)and CNRS, Toulouse, France
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16
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Guimarães MN, M. de Almeida M, Marques JMC, Prudente FV. A thermodynamic view on the microsolvation of ions by rare gas: application to Li+ with argon. Phys Chem Chem Phys 2020; 22:10882-10892. [DOI: 10.1039/d0cp01283a] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Parallel tempering Monte Carlo calculations on the Li+Arn microsolvation clusters have shown that the two peaks appearing in the heat capacity curve as a function of temperature correspond to the melting of the second and first solvation shells.
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Affiliation(s)
- M. N. Guimarães
- Instituto de Física
- Universidade Federal da Bahia
- 40170-115 Salvador
- Brazil
| | - M. M. de Almeida
- Instituto de Física
- Universidade Federal da Bahia
- 40170-115 Salvador
- Brazil
| | - J. M. C. Marques
- CQC
- Department of Chemistry
- University of Coimbra
- 3004-535 Coimbra
- Portugal
| | - F. V. Prudente
- Instituto de Física
- Universidade Federal da Bahia
- 40170-115 Salvador
- Brazil
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17
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Rapacioli M, Spiegelman F, Tarrat N. Evidencing the relationship between isomer spectra and melting: the 20- and 55-atom silver and gold cluster cases. Phys Chem Chem Phys 2019; 21:24857-24866. [PMID: 31539012 DOI: 10.1039/c9cp03897c] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The present work highlights the links between melting properties and structural excitation spectra of small gold and silver clusters. The heat capacity curves are computed for Ag20, Au20, Ag55, Au55 and their ions, using a parallel-tempering molecular dynamics scheme to explore the density functional based tight binding (DFTB) potential energy surfaces and the multiple histogram method. It is found that clusters having very symmetric lowest energy structures (Au20, Ag55 and their ions) present sharp or relatively sharp solid-to-liquid transitions and large melting temperatures, important structural excitation energies and a discrete isomer spectrum. Opposite trends are observed for less ordered clusters (Ag20, Au55 and their ions). Regarding the structural evolution with temperature, very symmetric clusters exhibit minor evolution up to the starting melting temperature. The present study also highlights that, in contrast with the case of Au20, a single electron excess or deficiency is not determinant regarding the melting characteristics, even quantitatively, for clusters containing 55 atoms, for gold as for silver.
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Affiliation(s)
- Mathias Rapacioli
- Laboratoire de Chimie et Physique Quantiques LCPQ/IRSAMC, UMR5626, Université de Toulouse (UPS) and CNRS, 118 Route de Narbonne, F-31062 Toulouse, France.
| | - Fernand Spiegelman
- Laboratoire de Chimie et Physique Quantiques LCPQ/IRSAMC, UMR5626, Université de Toulouse (UPS) and CNRS, 118 Route de Narbonne, F-31062 Toulouse, France.
| | - Nathalie Tarrat
- CEMES, Université de Toulouse, CNRS, 29, rue Jeanne Marvig, 31055 Toulouse, France.
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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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19
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Van den Bossche M. DFTB-Assisted Global Structure Optimization of 13- and 55-Atom Late Transition Metal Clusters. J Phys Chem A 2019; 123:3038-3045. [DOI: 10.1021/acs.jpca.9b00927] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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20
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Chan CH, Poignant F, Beuve M, Dumont E, Loffreda D. A Water Solvation Shell Can Transform Gold Metastable Nanoparticles in the Fluxional Regime. J Phys Chem Lett 2019; 10:1092-1098. [PMID: 30707843 DOI: 10.1021/acs.jpclett.8b03822] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Solvated gold nanoparticles have been modeled in the fluxional regime by density functional theory including dispersion forces for an extensive set of conventional morphologies. The study of isolated adsorption of one water molecule shows that the most stable adsorption forms are similar (corners and edges) regardless of the nanoparticle shape and size, although the adsorption strength differs significantly (0.15 eV). When a complete and explicit water solvation shell interacts with gold nanoclusters, metastable in vacuum and presenting a predominance of (100) square facets (ino-decahedra Au55 and Au147), these nanoparticles are found unstable and transform into the closest morphologies exhibiting mainly (111) triangular facets and symmetries. The corresponding adsorption strength per water molecule becomes independent of shape and size and is enhanced by the formation of two hydrogen bonds on average. For applications in radiotherapy, this study suggests that the shapes of small gold nanoparticles should be homogenized by interacting with the biological environment.
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Affiliation(s)
- Chen-Hui Chan
- Univ Lyon, Ens de Lyon, CNRS UMR 5182, Université Claude Bernard Lyon 1 , Laboratoire de Chimie, F-69342 Lyon , France
| | - Floriane Poignant
- Univ Lyon, Université Lyon 1, UMR CNRS5822/IN2P3, IPNL, PRISME, PHABIO, Villeurbanne 69322 , France
| | - Michaël Beuve
- Univ Lyon, Université Lyon 1, UMR CNRS5822/IN2P3, IPNL, PRISME, PHABIO, Villeurbanne 69322 , France
| | - Elise Dumont
- Univ Lyon, Ens de Lyon, CNRS UMR 5182, Université Claude Bernard Lyon 1 , Laboratoire de Chimie, F-69342 Lyon , France
| | - David Loffreda
- Univ Lyon, Ens de Lyon, CNRS UMR 5182, Université Claude Bernard Lyon 1 , Laboratoire de Chimie, F-69342 Lyon , France
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Cuny J, Tarrat N, Spiegelman F, Huguenot A, Rapacioli M. Density-functional tight-binding approach for metal clusters, nanoparticles, surfaces and bulk: application to silver and gold. JOURNAL OF PHYSICS. CONDENSED MATTER : AN INSTITUTE OF PHYSICS JOURNAL 2018; 30:303001. [PMID: 29916820 DOI: 10.1088/1361-648x/aacd6c] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Density-functional based tight-binding (DFTB) is an efficient quantum mechanical method that can describe a variety of systems, going from organic and inorganic compounds to metallic and hybrid materials. The present topical review addresses the ability and performance of DFTB to investigate energetic, structural, spectroscopic and dynamical properties of gold and silver materials. After a brief overview of the theoretical basis of DFTB, its parametrization and its transferability, we report its past and recent applications to gold and silver systems, including small clusters, nanoparticles, bulk and surfaces, bare and interacting with various organic and inorganic compounds. The range of applications covered by those studies goes from plasmonics and molecular electronics, to energy conversion and surface chemistry. Finally, perspectives of DFTB in the field of gold and silver surfaces and NPs are outlined.
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Affiliation(s)
- Jérôme Cuny
- Laboratoire de Chimie et Physique Quantiques (LCPQ), Université de Toulouse III [UPS] and CNRS, 118 Route de Narbonne, F-31062 Toulouse, France
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