1
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Haddad L, Gianolio D, Dunstan DJ, Liu Y, Rankine C, Sapelkin A. Quantifying intuition: Bayesian approach to figures of merit in EXAFS analysis of magic size clusters. NANOSCALE 2024. [PMID: 38414278 DOI: 10.1039/d3nr05110b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
Analysis of the extended X-ray absorption fine structure (EXAFS) can yield local structural information in magic size clusters even when other structural methods (such as X-ray diffraction) fail, but typically requires an initial guess - an atomistic model. Model comparison is thus one of the most crucial steps in establishing atomic structure of nanoscale systems and relies critically on the corresponding figures of merit (delivered by the data analysis) to make a decision on the most suitable model of atomic arrangements. However, none of the currently used statistical figures of merit take into account the significant factor of parameter correlations. Here we show that ignoring such correlations may result in a selection of an incorrect structural model. We then report on a new metric based on Bayes theorem that addresses this problem. We show that our new metric is superior to the currently used in EXAFS analysis as it reliably yields correct structural models even in cases when other statistical criteria may fail. We then demonstrate the utility of the new figure of merit in comparison of structural models for CdS magic-size clusters using EXAFS data.
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Affiliation(s)
- Lucy Haddad
- QMUL, Mile End Road, London E1 4NS, UK.
- Diamond Light Source, Diamond House Harwell Science & Innovation Campus, Didcot OX11 0DE, UK
| | - Diego Gianolio
- Diamond Light Source, Diamond House Harwell Science & Innovation Campus, Didcot OX11 0DE, UK
| | | | - Ying Liu
- QMUL, Mile End Road, London E1 4NS, UK.
| | - Conor Rankine
- Department of Chemistry, University of York, Heslington, York, YO10 5DD, UK
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2
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Varenik M, Xu B, Li J, Gaver E, Wachtel E, Ehre D, Routh PK, Khodorov S, Frenkel AI, Qi Y, Lubomirsky I. Lead-free Zr-doped ceria ceramics with low permittivity displaying giant electrostriction. Nat Commun 2023; 14:7371. [PMID: 37963883 PMCID: PMC10646075 DOI: 10.1038/s41467-023-43032-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 10/27/2023] [Indexed: 11/16/2023] Open
Abstract
Electrostrictors, materials developing mechanical strain proportional to the square of the applied electric field, present many advantages for mechanical actuation as they convert electrical energy into mechanical, but not vice versa. Both high relative permittivity and reliance on Pb as the key component in commercial electrostrictors pose serious practical and health problems. Here we describe a low relative permittivity (<250) ceramic, ZrxCe1-xO2 (x < 0.2), that displays electromechanical properties rivaling those of the best performing electrostrictors: longitudinal electrostriction strain coefficient ~10-16 m2/V2; relaxation frequency ≈ a few kHz; and strain ≥0.02%. Combining X-ray absorption spectroscopy, atomic-level modeling and electromechanical measurements, here we show that electrostriction in ZrxCe1-xO2 is enabled by elastic dipoles produced by anharmonic motion of the smaller isovalent dopant (Zr). Unlike the elastic dipoles in aliovalent doped ceria, which are present even in the absence of an applied elastic or electric field, the elastic dipoles in ZrxCe1-xO2 are formed only under applied anisotropic field. The local descriptors of electrostrictive strain, namely, the cation size mismatch and dynamic anharmonicity, are sufficiently versatile to guide future searches in other polycrystalline solids.
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Affiliation(s)
- Maxim Varenik
- Department of Molecular Chemistry and Materials Science, Weizmann Institute of Science, Rehovot, 761001, Israel
| | - Boyuan Xu
- Department of Physics, Brown University, Providence, RI, 02912, USA
| | - Junying Li
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Elad Gaver
- Department of Molecular Chemistry and Materials Science, Weizmann Institute of Science, Rehovot, 761001, Israel
| | - Ellen Wachtel
- Department of Molecular Chemistry and Materials Science, Weizmann Institute of Science, Rehovot, 761001, Israel
| | - David Ehre
- Department of Molecular Chemistry and Materials Science, Weizmann Institute of Science, Rehovot, 761001, Israel
| | - Prahlad K Routh
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Sergey Khodorov
- Department of Molecular Chemistry and Materials Science, Weizmann Institute of Science, Rehovot, 761001, Israel
| | - Anatoly I Frenkel
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA.
| | - Yue Qi
- School of Engineering, Brown University, Providence, RI, 02912, USA.
| | - Igor Lubomirsky
- Department of Molecular Chemistry and Materials Science, Weizmann Institute of Science, Rehovot, 761001, Israel.
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3
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Timoshenko J, Haase FT, Saddeler S, Rüscher M, Jeon HS, Herzog A, Hejral U, Bergmann A, Schulz S, Roldan Cuenya B. Deciphering the Structural and Chemical Transformations of Oxide Catalysts during Oxygen Evolution Reaction Using Quick X-ray Absorption Spectroscopy and Machine Learning. J Am Chem Soc 2023; 145:4065-4080. [PMID: 36762901 PMCID: PMC9951215 DOI: 10.1021/jacs.2c11824] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Indexed: 02/11/2023]
Abstract
Bimetallic transition-metal oxides, such as spinel-like CoxFe3-xO4 materials, are known as attractive catalysts for the oxygen evolution reaction (OER) in alkaline electrolytes. Nonetheless, unveiling the real active species and active states in these catalysts remains a challenge. The coexistence of metal ions in different chemical states and in different chemical environments, including disordered X-ray amorphous phases that all evolve under reaction conditions, hinders the application of common operando techniques. Here, we address this issue by relying on operando quick X-ray absorption fine structure spectroscopy, coupled with unsupervised and supervised machine learning methods. We use principal component analysis to understand the subtle changes in the X-ray absorption near-edge structure spectra and develop an artificial neural network to decipher the extended X-ray absorption fine structure spectra. This allows us to separately track the evolution of tetrahedrally and octahedrally coordinated species and to disentangle the chemical changes and several phase transitions taking place in CoxFe3-xO4 catalysts and on their active surface, related to the conversion of disordered oxides into spinel-like structures, transformation of spinels into active oxyhydroxides, and changes in the degree of spinel inversion in the course of the activation treatment and under OER conditions. By correlating the revealed structural changes with the distinct catalytic activity for a series of CoxFe3-xO4 samples, we elucidate the active species and OER mechanism.
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Affiliation(s)
- Janis Timoshenko
- Department
of Interface Science, Fritz-Haber Institute
of the Max-Planck Society, 14195 Berlin, Germany
| | - Felix T. Haase
- Department
of Interface Science, Fritz-Haber Institute
of the Max-Planck Society, 14195 Berlin, Germany
| | - Sascha Saddeler
- Institute
of Inorganic Chemistry and Center for Nanointegration Duisburg-Essen
(CENIDE), University of Duisburg-Essen, 45117 Essen, Germany
| | - Martina Rüscher
- Department
of Interface Science, Fritz-Haber Institute
of the Max-Planck Society, 14195 Berlin, Germany
| | - Hyo Sang Jeon
- Department
of Interface Science, Fritz-Haber Institute
of the Max-Planck Society, 14195 Berlin, Germany
| | - Antonia Herzog
- Department
of Interface Science, Fritz-Haber Institute
of the Max-Planck Society, 14195 Berlin, Germany
| | - Uta Hejral
- Department
of Interface Science, Fritz-Haber Institute
of the Max-Planck Society, 14195 Berlin, Germany
| | - Arno Bergmann
- Department
of Interface Science, Fritz-Haber Institute
of the Max-Planck Society, 14195 Berlin, Germany
| | - Stephan Schulz
- Institute
of Inorganic Chemistry and Center for Nanointegration Duisburg-Essen
(CENIDE), University of Duisburg-Essen, 45117 Essen, Germany
| | - Beatriz Roldan Cuenya
- Department
of Interface Science, Fritz-Haber Institute
of the Max-Planck Society, 14195 Berlin, Germany
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4
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Rana R, Vila FD, Kulkarni AR, Bare SR. Bridging the Gap between the X-ray Absorption Spectroscopy and the Computational Catalysis Communities in Heterogeneous Catalysis: A Perspective on the Current and Future Research Directions. ACS Catal 2022. [DOI: 10.1021/acscatal.2c03863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Rachita Rana
- Department of Chemical Engineering, University of California, Davis, California95616, United States
| | - Fernando D. Vila
- Department of Physics, University of Washington, Seattle, Washington98195, United States
| | - Ambarish R. Kulkarni
- Department of Chemical Engineering, University of California, Davis, California95616, United States
| | - Simon R. Bare
- Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, California94025, United States
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5
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Tracking the phase changes in micelle-based NiGa nanocatalysts for methanol synthesis under activation and working conditions. J Catal 2022. [DOI: 10.1016/j.jcat.2021.11.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
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6
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Roy S, Liu Y, Topsakal M, Dias E, Gakhar R, Phillips WC, Wishart JF, Leshchev D, Halstenberg P, Dai S, Gill SK, Frenkel AI, Bryantsev VS. A Holistic Approach for Elucidating Local Structure, Dynamics, and Speciation in Molten Salts with High Structural Disorder. J Am Chem Soc 2021; 143:15298-15308. [PMID: 34499512 DOI: 10.1021/jacs.1c06742] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
To examine ion solvation, exchange, and speciation for minority components in molten salts (MS) typically found as corrosion products, we propose a multimodal approach combining extended X-ray absorption fine structure (EXAFS) spectroscopy, optical spectroscopy, ab initio molecular dynamics (AIMD) simulations, and rate theory of ion exchange. Going beyond conventional EXAFS analysis, our method can accurately quantify populations of different coordination states of ions with highly disordered coordination environments via linear combination fitting of the EXAFS spectra of these coordination states computed from AIMD to the experimental EXAFS spectrum. In a case study of dilute Ni(II) dissolved in the ZnCl2+KCl melts, our method reveals heterogeneous distributions of coordination states of Ni(II) that are sensitive to variations in temperature and melt composition. These results are fully explained by the difference in the chloride exchange dynamics at varied temperatures and melt compositions. This insight will enable a better understanding and control of ion solubility and transport in MS.
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Affiliation(s)
- Santanu Roy
- Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States
| | - Yang Liu
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794, United States.,Chemistry Division, Brookhaven National Laboratory, Upton, New York 11973, United States
| | - Mehmet Topsakal
- Nuclear Science and Technology Department, Brookhaven National Laboratory, Upton, New York 11973, United States
| | - Elaine Dias
- Nuclear Science and Technology Department, Brookhaven National Laboratory, Upton, New York 11973, United States
| | - Ruchi Gakhar
- Pyrochemistry and Molten Salt Systems Department, Idaho National Laboratory, Idaho Falls, Idaho 83415, United States
| | - William C Phillips
- Pyrochemistry and Molten Salt Systems Department, Idaho National Laboratory, Idaho Falls, Idaho 83415, United States
| | - James F Wishart
- Chemistry Division, Brookhaven National Laboratory, Upton, New York 11973, United States
| | - Denis Leshchev
- National Synchrotron Light Source II (NSLS-II), Brookhaven National Laboratory, Upton, New York 11973, United States
| | - Phillip Halstenberg
- Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States.,Department of Chemistry, University of Tennessee, Knoxville, Tennessee 37916, United States
| | - Sheng Dai
- Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States.,Department of Chemistry, University of Tennessee, Knoxville, Tennessee 37916, United States
| | - Simerjeet K Gill
- Nuclear Science and Technology Department, Brookhaven National Laboratory, Upton, New York 11973, United States
| | - Anatoly I Frenkel
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794, United States.,Chemistry Division, Brookhaven National Laboratory, Upton, New York 11973, United States
| | - Vyacheslav S Bryantsev
- Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States
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7
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Li J, Li Y, Routh PK, Makagon E, Lubomirsky I, Frenkel AI. Comparative analysis of XANES and EXAFS for local structural characterization of disordered metal oxides. JOURNAL OF SYNCHROTRON RADIATION 2021; 28:1511-1517. [PMID: 34475298 DOI: 10.1107/s1600577521007025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 07/07/2021] [Indexed: 06/13/2023]
Abstract
In functional materials, the local environment around active species that may contain just a few nearest-neighboring atomic shells often changes in response to external conditions. Strong disorder in the local environment poses a challenge to commonly used extended X-ray absorption fine structure (EXAFS) analysis. Furthermore, the dilute concentrations of absorbing atoms, small sample size and the constraints of the experimental setup often limit the utility of EXAFS for structural analysis. X-ray absorption near-edge structure (XANES) has been established as a good alternative method to provide local electronic and geometric information of materials. The pre-edge region in the XANES spectra of metal compounds is a useful but relatively under-utilized resource of information of the chemical composition and structural disorder in nano-materials. This study explores two examples of materials in which the transition metal environment is either relatively symmetric or strongly asymmetric. In the former case, EXAFS results agree with those obtained from the pre-edge XANES analysis, whereas in the latter case they are in a seeming contradiction. The two observations are reconciled by revisiting the limitations of EXAFS in the case of a strong, asymmetric bond length disorder, expected for mixed-valence oxides, and emphasize the utility of the pre-edge XANES analysis for detecting local heterogeneities in structural and compositional motifs.
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Affiliation(s)
- Junying Li
- Materials Science and Chemical Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY 11794, USA
| | - Yuanyuan Li
- Materials Science and Chemical Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY 11794, USA
| | - Prahlad K Routh
- Materials Science and Chemical Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY 11794, USA
| | - Evgeniy Makagon
- Department of Materials and Interfaces, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Igor Lubomirsky
- Department of Materials and Interfaces, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Anatoly I Frenkel
- Materials Science and Chemical Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY 11794, USA
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8
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Piccolo L. Restructuring effects of the chemical environment in metal nanocatalysis and single-atom catalysis. Catal Today 2021. [DOI: 10.1016/j.cattod.2020.03.052] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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9
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Fonseca J, Lu J. Single-Atom Catalysts Designed and Prepared by the Atomic Layer Deposition Technique. ACS Catal 2021. [DOI: 10.1021/acscatal.1c01200] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Javier Fonseca
- Nanomaterial Laboratory for Catalysis and Advanced Separations, Department of Chemical Engineering, Northeastern University, 313 Snell Engineering Center, 360 Huntington Avenue, Boston, Massachusetts 02115-5000, United States
| | - Junling Lu
- Department of Chemical Physics, Hefei National Laboratory for Physical Sciences at the Microscale, iChEM, University of Science and Technology of China, Hefei, Anhui 230026, China
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10
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McGuire SC, Ebrahim AM, Hurley N, Zhang L, Frenkel AI, Wong SS. Reconciling structure prediction of alloyed, ultrathin nanowires with spectroscopy. Chem Sci 2021; 12:7158-7173. [PMID: 34123343 PMCID: PMC8153242 DOI: 10.1039/d1sc00627d] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 04/11/2021] [Indexed: 01/04/2023] Open
Abstract
A number of complementary, synergistic advances are reported herein. First, we describe the 'first-time' synthesis of ultrathin Ru2Co1 nanowires (NWs) possessing average diameters of 2.3 ± 0.5 nm using a modified surfactant-mediated protocol. Second, we utilize a combination of quantitative EDS, EDS mapping (along with accompanying line-scan profiles), and EXAFS spectroscopy results to probe the local atomic structure of not only novel Ru2Co1 NWs but also 'control' samples of analogous ultrathin Ru1Pt1, Au1Ag1, Pd1Pt1, and Pd1Pt9 NWs. We demonstrate that ultrathin NWs possess an atomic-level geometry that is fundamentally dependent upon their intrinsic chemical composition. In the case of the PdPt NW series, EDS mapping data are consistent with the formation of a homogeneous alloy, a finding further corroborated by EXAFS analysis. By contrast, EXAFS analysis results for both Ru1Pt1 and Ru2Co1 imply the generation of homophilic structures in which there is a strong tendency for the clustering of 'like' atoms; associated EDS results for Ru1Pt1 convey the same conclusion, namely the production of a heterogeneous structure. Conversely, EDS mapping data for Ru2Co1 suggests a uniform distribution of both elements. In the singular case of Au1Ag1, EDS mapping results are suggestive of a homogeneous alloy, whereas EXAFS analysis pointed to Ag segregation at the surface and an Au-rich core, within the context of a core-shell structure. These cumulative outcomes indicate that only a combined consideration of both EDS and EXAFS results can provide for an accurate representation of the local atomic structure of ultrathin NW motifs.
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Affiliation(s)
- Scott C McGuire
- Department of Chemistry, Stony Brook University Stony Brook New York 11794-3400 USA
| | - Amani M Ebrahim
- Department of Materials Science and Chemical Engineering, Stony Brook University Stony Brook New York 11794-2275 USA
| | - Nathaniel Hurley
- Department of Chemistry, Stony Brook University Stony Brook New York 11794-3400 USA
| | - Lihua Zhang
- Center for Functional Nanomaterials, Brookhaven National Laboratory Upton New York 11973 USA
| | - Anatoly I Frenkel
- Department of Materials Science and Chemical Engineering, Stony Brook University Stony Brook New York 11794-2275 USA
- Chemistry Division, Brookhaven National Laboratory Upton New York 11973 USA
| | - Stanislaus S Wong
- Department of Chemistry, Stony Brook University Stony Brook New York 11794-3400 USA
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11
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Timoshenko J, Roldan Cuenya B. In Situ/ Operando Electrocatalyst Characterization by X-ray Absorption Spectroscopy. Chem Rev 2021; 121:882-961. [PMID: 32986414 PMCID: PMC7844833 DOI: 10.1021/acs.chemrev.0c00396] [Citation(s) in RCA: 204] [Impact Index Per Article: 68.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Indexed: 12/18/2022]
Abstract
During the last decades, X-ray absorption spectroscopy (XAS) has become an indispensable method for probing the structure and composition of heterogeneous catalysts, revealing the nature of the active sites and establishing links between structural motifs in a catalyst, local electronic structure, and catalytic properties. Here we discuss the fundamental principles of the XAS method and describe the progress in the instrumentation and data analysis approaches undertaken for deciphering X-ray absorption near edge structure (XANES) and extended X-ray absorption fine structure (EXAFS) spectra. Recent usages of XAS in the field of heterogeneous catalysis, with emphasis on examples concerning electrocatalysis, will be presented. The latter is a rapidly developing field with immense industrial applications but also unique challenges in terms of the experimental characterization restrictions and advanced modeling approaches required. This review will highlight the new insight that can be gained with XAS on complex real-world electrocatalysts including their working mechanisms and the dynamic processes taking place in the course of a chemical reaction. More specifically, we will discuss applications of in situ and operando XAS to probe the catalyst's interactions with the environment (support, electrolyte, ligands, adsorbates, reaction products, and intermediates) and its structural, chemical, and electronic transformations as it adapts to the reaction conditions.
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Affiliation(s)
- Janis Timoshenko
- Department of Interface Science, Fritz-Haber Institute of the Max-Planck Society, 14195 Berlin, Germany
| | - Beatriz Roldan Cuenya
- Department of Interface Science, Fritz-Haber Institute of the Max-Planck Society, 14195 Berlin, Germany
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12
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Spectral Decomposition of X-ray Absorption Spectroscopy Datasets: Methods and Applications. CRYSTALS 2020. [DOI: 10.3390/cryst10080664] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
X-ray absorption spectroscopy (XAS) today represents a widespread and powerful technique, able to monitor complex systems under in situ and operando conditions, while external variables, such us sampling time, sample temperature or even beam position over the analysed sample, are varied. X-ray absorption spectroscopy is an element-selective but bulk-averaging technique. Each measured XAS spectrum can be seen as an average signal arising from all the absorber-containing species/configurations present in the sample under study. The acquired XAS data are thus represented by a spectroscopic mixture composed of superimposed spectral profiles associated to well-defined components, characterised by concentration values evolving in the course of the experiment. The decomposition of an experimental XAS dataset in a set of pure spectral and concentration values is a typical example of an inverse problem and it goes, usually, under the name of multivariate curve resolution (MCR). In the present work, we present an overview on the major techniques developed to realize the MCR decomposition together with a selection of related results, with an emphasis on applications in catalysis. Therein, we will highlight the great potential of these methods which are imposing as an essential tool for quantitative analysis of large XAS datasets as well as the directions for further development in synergy with the continuous instrumental progresses at synchrotron sources.
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13
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Ebrahim AM, Plonka AM, Tian Y, Senanayake SD, Gordon WO, Balboa A, Wang H, Collins-Wildman DL, Hill CL, Musaev DG, Morris JR, Troya D, Frenkel AI. Multimodal Characterization of Materials and Decontamination Processes for Chemical Warfare Protection. ACS APPLIED MATERIALS & INTERFACES 2020; 12:14721-14738. [PMID: 31815428 DOI: 10.1021/acsami.9b19494] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
This Review summarizes the recent progress made in the field of chemical threat reduction by utilizing new in situ analytical techniques and combinations thereof to study multifunctional materials designed for capture and decomposition of nerve gases and their simulants. The emphasis is on the use of in situ experiments that simulate realistic operating conditions (solid-gas interface, ambient pressures and temperatures, time-resolved measurements) and advanced synchrotron methods, such as in situ X-ray absorption and scattering methods, a combination thereof with other complementary measurements (e.g., XPS, Raman, DRIFTS, NMR), and theoretical modeling. The examples presented in this Review range from studies of the adsorption and decomposition of nerve agents and their simulants on Zr-based metal organic frameworks to Nb and Zr-based polyoxometalates and metal (hydro)oxide materials. The approaches employed in these studies ultimately demonstrate how advanced synchrotron-based in situ X-ray absorption spectroscopy and diffraction can be exploited to develop an atomic- level understanding of interfacial binding and reaction of chemical warfare agents, which impacts the development of novel filtration media and other protective materials.
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Affiliation(s)
- Amani M Ebrahim
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794, United States
| | - Anna M Plonka
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794, United States
| | - Yiyao Tian
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794, United States
| | - Sanjaya D Senanayake
- Chemistry Division, Brookhaven National Laboratory, Upton, New York 11973, United States
| | - Wesley O Gordon
- U.S. Army Combat Capabilities Development Command Chemical Biological Center, Aberdeen Proving Ground, Maryland 21010, United States
| | - Alex Balboa
- U.S. Army Combat Capabilities Development Command Chemical Biological Center, Aberdeen Proving Ground, Maryland 21010, United States
| | - Hui Wang
- U.S. Army Combat Capabilities Development Command Chemical Biological Center, Aberdeen Proving Ground, Maryland 21010, United States
| | | | - Craig L Hill
- Department of Chemistry, Emory University, Atlanta, Georgia 30322, United States
| | - Djamaladdin G Musaev
- Department of Chemistry, Emory University, Atlanta, Georgia 30322, United States
- Cherry L. Emerson Center for Scientific Computation, Emory University, Atlanta, Georgia 30322, United States
| | - John R Morris
- Department of Chemistry, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Diego Troya
- Department of Chemistry, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Anatoly I Frenkel
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794, United States
- Chemistry Division, Brookhaven National Laboratory, Upton, New York 11973, United States
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14
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Timoshenko J, Jeon HS, Sinev I, Haase FT, Herzog A, Roldan Cuenya B. Linking the evolution of catalytic properties and structural changes in copper-zinc nanocatalysts using operando EXAFS and neural-networks. Chem Sci 2020; 11:3727-3736. [PMID: 34094061 PMCID: PMC8152410 DOI: 10.1039/d0sc00382d] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Understanding the evolution of unique structural motifs in bimetallic catalysts under reaction conditions, and linking them to the observed catalytic properties is necessary for the rational design of the next generation of catalytic materials. Extended X-ray absorption fine structure (EXAFS) spectroscopy is a premier experimental method to address this issue, providing the possibility to track the changes in the structure of working catalysts. Unfortunately, the intrinsic heterogeneity and enhanced disorder characteristic of catalytic materials experiencing structural transformations under reaction conditions, as well as the low signal-to-noise ratio that is common for in situ EXAFS spectra hinder the application of conventional data analysis approaches. Here we address this problem by employing machine learning methods (artificial neural networks) to establish the relationship between EXAFS features and structural motifs in metals as well as oxide materials. We apply this approach to time-dependent EXAFS spectra acquired from copper–zinc nanoparticles during the electrochemical reduction of CO2 to reveal the details of the composition-dependent structural evolution and brass alloy formation, and their correlation with the catalytic selectivity of these materials. A neural network is used to reveal composition-dependent structural evolution under operando conditions in CuZn nanocatalysts for CO2 electroreduction.![]()
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Affiliation(s)
- Janis Timoshenko
- Department of Interface Science, Fritz-Haber Institute of the Max-Planck Society 14195 Berlin Germany
| | - Hyo Sang Jeon
- Department of Interface Science, Fritz-Haber Institute of the Max-Planck Society 14195 Berlin Germany
| | - Ilya Sinev
- Department of Interface Science, Fritz-Haber Institute of the Max-Planck Society 14195 Berlin Germany
| | - Felix T Haase
- Department of Interface Science, Fritz-Haber Institute of the Max-Planck Society 14195 Berlin Germany
| | - Antonia Herzog
- Department of Interface Science, Fritz-Haber Institute of the Max-Planck Society 14195 Berlin Germany
| | - Beatriz Roldan Cuenya
- Department of Interface Science, Fritz-Haber Institute of the Max-Planck Society 14195 Berlin Germany
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15
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Kumar R, Ahmed Z, Kumar R, Jha SN, Bhattacharyya D, Bera C, Bagchi V. In situ modulation of silica-supported MoO2/Mo2C heterojunction for enhanced hydrogen evolution reaction. Catal Sci Technol 2020. [DOI: 10.1039/d0cy00890g] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Hydrogen being a promising source of clean energy, the production of hydrogen using electrocatalysis and the development of carbon-neutral energy conversion technologies are crucial.
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Affiliation(s)
| | - Zubair Ahmed
- Institute of Nano Science and Technology
- Mohali
- India
| | - Ravi Kumar
- Atomic and Molecular Physics Division
- Bhabha Atomic Research Centre
- Mumbai-400 085
- India
| | - Shambhu Nath Jha
- Atomic and Molecular Physics Division
- Bhabha Atomic Research Centre
- Mumbai-400 085
- India
| | | | - Chandan Bera
- Institute of Nano Science and Technology
- Mohali
- India
| | - Vivek Bagchi
- Institute of Nano Science and Technology
- Mohali
- India
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16
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Marcella N, Liu Y, Timoshenko J, Guan E, Luneau M, Shirman T, Plonka AM, van der Hoeven JES, Aizenberg J, Friend CM, Frenkel AI. Neural network assisted analysis of bimetallic nanocatalysts using X-ray absorption near edge structure spectroscopy. Phys Chem Chem Phys 2020; 22:18902-18910. [DOI: 10.1039/d0cp02098b] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Trained neural networks are used to extract the first partial coordination numbers from XANES spectra. In bimetallic nanoparticles, the four local structure descriptors provide rich information on structural motifs.
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17
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Trindell JA, Duan Z, Henkelman G, Crooks RM. Well-Defined Nanoparticle Electrocatalysts for the Refinement of Theory. Chem Rev 2019; 120:814-850. [DOI: 10.1021/acs.chemrev.9b00246] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Jamie A. Trindell
- Department of Chemistry and Texas Materials Institute, The University of Texas at Austin, 105 East 24th Street, Stop A5300, Austin, Texas 78712-1224, United States
| | - Zhiyao Duan
- Department of Chemistry and Texas Materials Institute, The University of Texas at Austin, 105 East 24th Street, Stop A5300, Austin, Texas 78712-1224, United States
| | - Graeme Henkelman
- Department of Chemistry and Texas Materials Institute, The University of Texas at Austin, 105 East 24th Street, Stop A5300, Austin, Texas 78712-1224, United States
| | - Richard M. Crooks
- Department of Chemistry and Texas Materials Institute, The University of Texas at Austin, 105 East 24th Street, Stop A5300, Austin, Texas 78712-1224, United States
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18
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Size evolution study on the electronic and optical properties of gold-cluster complexes Au4-S-CnH2n-S′-Au4′ (n = 2–5). Chem Phys Lett 2019. [DOI: 10.1016/j.cplett.2019.136625] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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19
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Timoshenko J, Frenkel AI. “Inverting” X-ray Absorption Spectra of Catalysts by Machine Learning in Search for Activity Descriptors. ACS Catal 2019. [DOI: 10.1021/acscatal.9b03599] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
- Janis Timoshenko
- Department of Interface Science, Fritz-Haber-Institute of the Max Planck Society, 14195 Berlin, Germany
| | - Anatoly I. Frenkel
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794, United States
- Chemistry Division, Brookhaven National Laboratory, Upton, New York 11973, United States
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