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Lu Q, Hu Y, Yang J, Yang H, Xiao L, Zhao F, Gao H, Jiang W, Hao G. Thermal Decomposition Mechanism of Ammonium Nitrate on the Main Crystal Surface of Ferric Oxide: Experimental and Theoretical Studies. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2024; 40:2198-2209. [PMID: 38241713 DOI: 10.1021/acs.langmuir.3c03230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2024]
Abstract
Understanding the decomposition process of ammonium nitrate (AN) on catalyst surfaces is crucial for the development of practical and efficient catalysts in AN-based propellants. In this study, two types of nano-Fe2O3 catalysts were synthesized: spherical particles with high-exposure (104) facets and flaky particles with high-exposure (110) facets. Through thermal analysis and particle size analysis, it was found that the nanosheet-Fe2O3 catalyst achieved more complete AN decomposition despite having a larger average particle size compared to nanosphere-Fe2O3. Subsequently, the effects of AN pyrolysis on the (110) and (104) facets were investigated by theoretical simulations. Through studying the interaction between AN and crystal facets, it was determined that the electron transfer efficiency on the (110) facet is stronger compared to that on the (104) facet. Additionally, the free-energy step diagrams for the reaction of the AN molecule on the two facets were calculated with the DFT + U method. Comparative analysis led us to conclude that the (110) facet of α-Fe2O3 is more favorable for AN pyrolysis compared to the (104) facet. Our study seeks to deepen the understanding of the mechanism underlying AN pyrolysis and present new ideas for the development of effective catalysts in AN pyrolysis.
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Affiliation(s)
- Qiangqiang Lu
- National Special Superfine Powder Engineering Research Center of China, School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Yiwen Hu
- Xi'an Modern Chemistry Research Institute, Xi'an 710065, China
| | - Junqing Yang
- National Special Superfine Powder Engineering Research Center of China, School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Hongyu Yang
- National Special Superfine Powder Engineering Research Center of China, School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Lei Xiao
- National Special Superfine Powder Engineering Research Center of China, School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Fengqi Zhao
- Xi'an Modern Chemistry Research Institute, Xi'an 710065, China
| | - Hongxu Gao
- Xi'an Modern Chemistry Research Institute, Xi'an 710065, China
| | - Wei Jiang
- National Special Superfine Powder Engineering Research Center of China, School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Gazi Hao
- National Special Superfine Powder Engineering Research Center of China, School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
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2
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Hinuma Y, Mine S, Toyao T, Shimizu KI. Trends in Surface Oxygen Formation Energy in Perovskite Oxides. ACS OMEGA 2022; 7:18427-18433. [PMID: 35694487 PMCID: PMC9178614 DOI: 10.1021/acsomega.2c00702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 04/27/2022] [Indexed: 06/15/2023]
Abstract
Perovskite oxides comprise an important class of materials, and some of their applications depend on the surface reactivity characteristics. We calculated, using density functional theory, the surface O vacancy formation energy (E Ovac) for perovskite-structure oxides, with a transition metal (Ti-Fe) as the B-site cation, to estimate the catalytic reactivity of perovskite oxides. The E Ovac value correlated well with the band gap and bulk formation energy, which is a trend also found in other oxides. A low E Ovac value, which is expected to result in higher catalytic activity via the Mars-van Krevelen mechanism, was found in metallic perovskites such as CaCoO3, BaFeO3, and SrFeO3. On the other hand, titanates had high E Ovac values, typically exceeding 4 eV/atom, suggesting that these materials are less reactive when O vacancy formation is involved in the reaction mechanism.
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Affiliation(s)
- Yoyo Hinuma
- Department
of Energy and Environment, National Institute
of Advanced Industrial Science and Technology (AIST), 1-8-31, Midorigaoka, Ikeda 563-8577, Japan
| | - Shinya Mine
- Institute
for Catalysis, Hokkaido University, N-21, W-10, 1-5, Sapporo 001-0021, Japan
| | - Takashi Toyao
- Institute
for Catalysis, Hokkaido University, N-21, W-10, 1-5, Sapporo 001-0021, Japan
- Elements
Strategy Initiative for Catalysts and Batteries, Kyoto University, Katsura, Kyoto 615-8520, Japan
| | - Ken-ichi Shimizu
- Institute
for Catalysis, Hokkaido University, N-21, W-10, 1-5, Sapporo 001-0021, Japan
- Elements
Strategy Initiative for Catalysts and Batteries, Kyoto University, Katsura, Kyoto 615-8520, Japan
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3
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Shi BX, Kapil V, Zen A, Chen J, Alavi A, Michaelides A. General embedded cluster protocol for accurate modeling of oxygen vacancies in metal-oxides. J Chem Phys 2022; 156:124704. [DOI: 10.1063/5.0087031] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The O vacancy (Ov) formation energy, EOv, is an important property of a metal-oxide, governing its performance in applications such as fuel cells or heterogeneous catalysis. These defects are routinely studied with density functional theory (DFT). However, it is well-recognized that standard DFT formulations (e.g., the generalized gradient approximation) are insufficient for modeling the Ov, requiring higher levels of theory. The embedded cluster method offers a promising approach to compute EOv accurately, giving access to all electronic structure methods. Central to this approach is the construction of quantum(-mechanically treated) clusters placed within suitable embedding environments. Unfortunately, current approaches to constructing the quantum clusters either require large system sizes, preventing application of high-level methods, or require significant manual input, preventing investigations of multiple systems simultaneously. In this work, we present a systematic and general quantum cluster design protocol that can determine small converged quantum clusters for studying the Ov in metal-oxides with accurate methods, such as local coupled cluster with single, double, and perturbative triple excitations. We apply this protocol to study the Ov in the bulk and surface planes of rutile TiO2 and rock salt MgO, producing the first accurate and well-converged determinations of EOv with this method. These reference values are used to benchmark exchange–correlation functionals in DFT, and we find that all the studied functionals underestimate EOv, with the average error decreasing along the rungs of Jacob’s ladder. This protocol is automatable for high-throughput calculations and can be generalized to study other point defects or adsorbates.
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Affiliation(s)
- Benjamin X. Shi
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom
| | - Venkat Kapil
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom
- Churchill College, University of Cambridge, Storey’s Way, Cambridge CB3 0DS, United Kingdom
| | - Andrea Zen
- Dipartimento di Fisica Ettore Pancini, Università di Napoli Federico II, Monte S. Angelo, I-80126 Napoli, Italy
- Department of Earth Sciences, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - Ji Chen
- School of Physics, Peking University, Beijing 100871, China
| | - Ali Alavi
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom
- Max Planck Institute for Solid State Research, Heisenbergstraße 1, 70569 Stuttgart, Germany
| | - Angelos Michaelides
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom
- Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, United Kingdom
- Thomas Young Centre and London Centre for Nanotechnology, 17-19 Gordon Street, London WC1H 0AH, United Kingdom
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Su HY, Sun K, Gu XK, Wang SS, Zhu J, Li WX, Sun C, Calle-Vallejo F. Finding Key Factors for Efficient Water and Methanol Activation at Metals, Oxides, MXenes, and Metal/Oxide Interfaces. ACS Catal 2022; 12:1237-1246. [PMID: 35096469 PMCID: PMC8788388 DOI: 10.1021/acscatal.1c03405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 12/24/2021] [Indexed: 11/28/2022]
Abstract
![]()
Activating
water
and methanol is crucial in numerous catalytic,
electrocatalytic, and photocatalytic reactions. Despite extensive
research, the optimal active sites for water/methanol activation are
yet to be unequivocally elucidated. Here, we combine transition-state
searches and electronic charge analyses on various structurally different
materials to identify two features of favorable O–H bond cleavage
in H2O, CH3OH, and hydroxyl: (1) low barriers
appear when the charge of H moieties remains approximately constant
during the dissociation process, as observed on metal oxides, MXenes,
and metal/oxide interfaces. Such favorable kinetics is closely related
to adsorbate/substrate hydrogen bonding and is enhanced by nearly
linear O–H–O angles and short O–H distances.
(2) Fast dissociation is observed when the rotation of O–H
bonds is facile, which is favored by weak adsorbate binding and effective
orbital overlap. Interestingly, we find that the two features are
energetically proportional. Finally, we find conspicuous differences
between H2O/CH3OH and OH activation, which hints
toward the use of carefully engineered interfaces.
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Affiliation(s)
- Hai-Yan Su
- School of Chemical Engineering and Energy Technology, Dongguan University of Technology, Dongguan 523808, China
| | - Keju Sun
- Key Laboratory of Applied Chemistry, College of Environmental and Chemical Engineering, Yanshan University, 438 Hebei Avenue, Qinhuangdao 066004, China
| | - Xiang-Kui Gu
- Department of Chemical Physics, College of Chemistry and Materials Science, Hefei National Laboratory for Physical Sciences at the Microscale, iChEM, CAS Center for Excellence in Nanoscience, University of Science and Technology of China, Hefei 230026, China
| | - Sha-Sha Wang
- Department of Chemical Physics, College of Chemistry and Materials Science, Hefei National Laboratory for Physical Sciences at the Microscale, iChEM, CAS Center for Excellence in Nanoscience, University of Science and Technology of China, Hefei 230026, China
| | - Jing Zhu
- Department of Chemical Physics, College of Chemistry and Materials Science, Hefei National Laboratory for Physical Sciences at the Microscale, iChEM, CAS Center for Excellence in Nanoscience, University of Science and Technology of China, Hefei 230026, China
| | - Wei-Xue Li
- Department of Chemical Physics, College of Chemistry and Materials Science, Hefei National Laboratory for Physical Sciences at the Microscale, iChEM, CAS Center for Excellence in Nanoscience, University of Science and Technology of China, Hefei 230026, China
| | - Chenghua Sun
- Centre for Translational Atomaterials, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
| | - Federico Calle-Vallejo
- Department of Materials Science and Chemical Physics & Institute of Theoretical and Computational Chemistry (IQTCUB), University of Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain
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Mine S, Toyao T, Hinuma Y, Shimizu KI. Understanding and controlling the formation of surface anion vacancies for catalytic applications. Catal Sci Technol 2022. [DOI: 10.1039/d2cy00014h] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Systematic computational efforts aimed at calculating surface anion vacancy formation energies as important descriptors of catalytic performance are summarized.
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Affiliation(s)
- Shinya Mine
- Institute for Catalysis, Hokkaido University, N-21, W-10, 1-5, Sapporo 001-0021, Japan
| | - Takashi Toyao
- Institute for Catalysis, Hokkaido University, N-21, W-10, 1-5, Sapporo 001-0021, Japan
- Elements Strategy Initiative for Catalysts and Batteries, Kyoto University, Katsura, Nishigyo, Kyoto 615-8520, Japan
| | - Yoyo Hinuma
- Department of Energy and Environment, National Institute of Advanced Industrial Science and Technology (AIST), 1-8-31, Midorigaoka, Ikeda 563-8577, Japan
| | - Ken-ichi Shimizu
- Institute for Catalysis, Hokkaido University, N-21, W-10, 1-5, Sapporo 001-0021, Japan
- Elements Strategy Initiative for Catalysts and Batteries, Kyoto University, Katsura, Nishigyo, Kyoto 615-8520, Japan
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Hinuma Y, Mine S, Toyao T, Kamachi T, Shimizu KI. Factors determining surface oxygen vacancy formation energy in ternary spinel structure oxides with zinc. Phys Chem Chem Phys 2021; 23:23768-23777. [PMID: 34643190 DOI: 10.1039/d1cp03657b] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Spinel oxides are an important class of materials for heterogeneous catalysis including photocatalysis and electrocatalysis. The surface O vacancy formation energy (EOvac) is a critical quantity for catalyst performance because the surface of metal oxide catalysts often acts as a reaction site, for example, in the Mars-van Krevelen mechanism. However, experimental evaluation of EOvac is very challenging. We obtained the EOvac for (100), (110), and (111) surfaces of normal zinc-based spinel oxides ZnAl2O4, ZnGa2O4, ZnIn2O4, ZnV2O4, ZnCr2O4, ZnMn2O4, ZnFe2O4, and ZnCo2O4. The most stable surface is (100) for all compounds. The smallest EOvac for a surface is the largest in the (100) surface except for ZnCo2O4. For (100) and (110) surfaces, there is a good correlation, over all spinels, between the smallest EOvac for the surface and bulk formation energy, while the ionization potential correlates well in (111) surfaces. Machine learning over EOvac of all surface sites in all orientations and for all compounds to find the important factors, or descriptors, that decide the EOvac revealed that bulk and surface-dependent descriptors are the most important, namely the bulk formation energy, a Boolean descriptor of whether the surface is (111) or not, and the ionization potential, followed by geometrical descriptors that are different in each O site.
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Affiliation(s)
- Yoyo Hinuma
- Department of Energy and Environment, National Institute of Advanced Industrial Science and Technology (AIST), 1-8-31, Midorigaoka, Ikeda 563-8577, Japan. .,Center for Frontier Science, Chiba University, 1-33 Yayoicho, Inage, Chiba 263-8522, Japan
| | - Shinya Mine
- Institute for Catalysis, Hokkaido University, N-21, W-10, Kita, Sapporo, Hokkaido 001-0021, Japan
| | - Takashi Toyao
- Institute for Catalysis, Hokkaido University, N-21, W-10, Kita, Sapporo, Hokkaido 001-0021, Japan.,Elements Strategy Initiative for Catalysts and Batteries, Kyoto University, Katsura, Nishigyo, Kyoto 615-8520, Japan
| | - Takashi Kamachi
- Elements Strategy Initiative for Catalysts and Batteries, Kyoto University, Katsura, Nishigyo, Kyoto 615-8520, Japan.,Department of Life, Environment and Applied Chemistry, Fukuoka Institute of Technology, 3-30-1Wajiro-Higashi, Higashi-ku, Fukuoka 811-0295, Japan
| | - Ken-Ichi Shimizu
- Institute for Catalysis, Hokkaido University, N-21, W-10, Kita, Sapporo, Hokkaido 001-0021, Japan.,Elements Strategy Initiative for Catalysts and Batteries, Kyoto University, Katsura, Nishigyo, Kyoto 615-8520, Japan
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Teh WJ, Piqué O, Low QH, Zhu W, Calle-Vallejo F, Yeo BS. Toward Efficient Tandem Electroreduction of CO 2 to Methanol using Anodized Titanium. ACS Catal 2021. [DOI: 10.1021/acscatal.1c01725] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- Wei Jie Teh
- Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543
- Solar Energy Research Institute of Singapore, National University of Singapore, 7 Engineering Drive 1, Singapore 117574
| | - Oriol Piqué
- Department of Materials Science and Chemical Physics & Institute of Theoretical and Computational Chemistry (IQTCUB), University of Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain
| | - Qi Hang Low
- Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543
- Solar Energy Research Institute of Singapore, National University of Singapore, 7 Engineering Drive 1, Singapore 117574
| | - Weihan Zhu
- Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543
- Solar Energy Research Institute of Singapore, National University of Singapore, 7 Engineering Drive 1, Singapore 117574
| | - Federico Calle-Vallejo
- Department of Materials Science and Chemical Physics & Institute of Theoretical and Computational Chemistry (IQTCUB), University of Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain
| | - Boon Siang Yeo
- Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543
- Solar Energy Research Institute of Singapore, National University of Singapore, 7 Engineering Drive 1, Singapore 117574
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Wan Z, Wang QD, Liu D, Liang J. Data-driven machine learning model for the prediction of oxygen vacancy formation energy of metal oxide materials. Phys Chem Chem Phys 2021; 23:15675-15684. [PMID: 34269780 DOI: 10.1039/d1cp02066h] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Metal oxides are widely used in the fields of chemistry, physics and materials science. Oxygen vacancy formation energy is a key parameter to describe the chemical, mechanical, and thermodynamic properties of metal oxides. How to acquire quickly and accurately oxygen vacancy formation energy remains a challenge for both experimental and theoretical researchers. Herein, we propose a machine learning model for the prediction of oxygen vacancy formation energy via data-driven analysis and the definition of simple descriptors. Starting with the database containing oxygen vacancy formation energies for 1750 metal oxides with enough structural diversity, new descriptors that effectively avoid the defects of molecular fingerprints, molecular graphic descriptors and site descriptors are defined. The descriptors have obvious physical meanings and wide practicability. Multiple linear regression analysis is then used to screen important features for machine learning model development, and two strongly associated features are obtained. The selected descriptors are used as input for the training of 21 machine learning models to select and develop the most accurate machine learning model. Finally, it is shown that the least squares support vector regression method exhibits the best performance for accurate prediction of the targeted oxygen vacancy formation energy through systematic error analysis, and the prediction accuracy is also verified by the external dataset. Our work establishes a novel and simple computational approach for accurate prediction of the oxygen vacancy formation energy of metal oxides and highlights the availability of data-driven analysis for metal oxide material research.
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Affiliation(s)
- Zhongyu Wan
- Low Carbon Energy Institute and School of Chemical Engineering, China University of Mining and Technology, Xuzhou, 221008, People's Republic of China. and Department of Physics, City University of Hong Kong, Hong Kong SAR 999077, People's Republic of China
| | - Quan-De Wang
- Low Carbon Energy Institute and School of Chemical Engineering, China University of Mining and Technology, Xuzhou, 221008, People's Republic of China.
| | - Dongchang Liu
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - Jinhu Liang
- School of Environment and Safety Engineering, North University of China, Taiyuan 030051, People's Republic of China
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Su HY, Ma X, Sun C, Sun K. A synergetic effect between a single Cu site and S vacancy on an MoS 2 basal plane for methanol synthesis from syngas. Catal Sci Technol 2021. [DOI: 10.1039/d1cy00003a] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Compared to MoS2(001), the synergetic effect between the single Cu site and S vacancy on Cu/MoS2(001) destabilizes O, which not only increases the CO hydrogenation rate by 5 orders of magnitude, but leads to the selectivity switch from CH4 to CH3OH.
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Affiliation(s)
- Hai-Yan Su
- School of Chemical Engineering and Energy Technology
- Dongguan University of Technology
- Dongguan 523808
- China
| | - Xiufang Ma
- Shenzhen Key Laboratory of Advanced Thin Films and Applications
- College of Physics and Optoelectronic Engineering
- Shenzhen University
- Shenzhen 518060
- China
| | - Chenghua Sun
- Centre for Translational Atomaterials
- Swinburne University of Technology
- Hawthorn
- Australia
| | - Keju Sun
- Key Laboratory of Applied Chemistry
- College of Environmental and Chemical Engineering
- Yanshan University
- Qinhuangdao 066004
- China
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