101
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Grosskopf AK, Saouaf OA, Lopez Hernandez H, Appel EA. Gelation and yielding behavior of
polymer–nanoparticle
hydrogels. JOURNAL OF POLYMER SCIENCE 2021; 59:2854-2866. [PMID: 35875706 PMCID: PMC9298381 DOI: 10.1002/pol.20210652] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 09/22/2021] [Accepted: 09/23/2021] [Indexed: 12/13/2022]
Abstract
Polymer–nanoparticle hydrogels are a unique class of self‐assembled, shear‐thinning, yield‐stress fluids that have demonstrated potential utility in many impactful applications. Here, we present a thorough analysis of the gelation and yielding behavior of these materials with respect to the polymer and nanoparticle component stoichiometry. Through comprehensive rheological and diffusion studies, we reveal insights into the structural dynamics of the polymer nanoparticle network that identify that stoichiometry plays a key role in gelation and yielding, ultimately enabling the development of hydrogel formulations with unique shear‐thinning and yield‐stress behaviors. Access to these materials opens new doors for interesting applications in a variety of fields including tissue engineering, drug delivery, and controlled solution viscosity.
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Affiliation(s)
| | - Olivia A. Saouaf
- Department of Materials Science and Engineering Stanford University Stanford California USA
| | - Hector Lopez Hernandez
- Department of Materials Science and Engineering Stanford University Stanford California USA
| | - Eric A. Appel
- Department of Materials Science and Engineering Stanford University Stanford California USA
- Department of Pediatrics—Endocrinology Stanford University Stanford California USA
- Department of Bioengineering Stanford University Stanford California USA
- ChEM‐H Institute Stanford University Stanford California USA
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102
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Waters MJ, Rondinelli JM. Energy contour exploration with potentiostatic kinematics. JOURNAL OF PHYSICS. CONDENSED MATTER : AN INSTITUTE OF PHYSICS JOURNAL 2021; 33:445901. [PMID: 34352742 DOI: 10.1088/1361-648x/ac1af0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 08/05/2021] [Indexed: 06/13/2023]
Abstract
We introduce a method of exploring potential energy contours (PECs) in complex dynamical systems based on potentiostatic kinematics wherein the systems are evolved with minimal changes to their potential energy. We construct a simple iterative algorithm for performing potentiostatic kinematics, which uses an estimate curvature to predict new configuration-space coordinates on the PEC and a potentiostat term component to correct for errors in prediction. Our methods are then applied to atomic structure models using an interatomic potential for energy and force evaluations as would commonly be invoked in a molecular dynamics simulation. Using several model systems, we assess the stability and accuracy of the method on different hyperparameters in the implementation of the potentiostatic kinematics. Our implementation is open source and available within the atomic simulation environment package.
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Affiliation(s)
- Michael J Waters
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, United States of America
| | - James M Rondinelli
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, United States of America
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103
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Vandervelden C, Jystad A, Peters B, Caricato M. Predicted Properties of Active Catalyst Sites on Amorphous Silica: Impact of Silica Preoptimization Protocol. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c01849] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Craig Vandervelden
- Department of Chemical Engineering, University of California, Santa Barbara, California 93106, United States
| | - Amy Jystad
- Department of Chemistry, University of Kansas, 1567 Irving Hill Road, Lawrence, Kansas 66045, United States
| | - Baron Peters
- Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States
- Department of Chemistry and Biochemistry, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States
| | - Marco Caricato
- Department of Chemistry, University of Kansas, 1567 Irving Hill Road, Lawrence, Kansas 66045, United States
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104
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Achievements and Expectations in the Field of Computational Heterogeneous Catalysis in an Innovation Context. Top Catal 2021. [DOI: 10.1007/s11244-021-01489-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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105
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Lim H, Jung Y. MLSolvA: solvation free energy prediction from pairwise atomistic interactions by machine learning. J Cheminform 2021; 13:56. [PMID: 34332634 PMCID: PMC8325294 DOI: 10.1186/s13321-021-00533-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 07/15/2021] [Indexed: 01/04/2023] Open
Abstract
Recent advances in machine learning technologies and their applications have led to the development of diverse structure-property relationship models for crucial chemical properties. The solvation free energy is one of them. Here, we introduce a novel ML-based solvation model, which calculates the solvation energy from pairwise atomistic interactions. The novelty of the proposed model consists of a simple architecture: two encoding functions extract atomic feature vectors from the given chemical structure, while the inner product between the two atomistic feature vectors calculates their interactions. The results of 6239 experimental measurements achieve outstanding performance and transferability for enlarging training data owing to its solvent-non-specific nature. An analysis of the interaction map shows that our model has significant potential for producing group contributions on the solvation energy, which indicates that the model provides not only predictions of target properties but also more detailed physicochemical insights.
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Affiliation(s)
- Hyuntae Lim
- Department of Chemistry, Seoul National University, Seoul, 08826, South Korea
| | - YounJoon Jung
- Department of Chemistry, Seoul National University, Seoul, 08826, South Korea.
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106
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Peng Q, Qi X, Gong X, Chen Y. 1T-MoS 2 Coordinated Bimetal Atoms as Active Centers to Facilitate Hydrogen Generation. MATERIALS 2021; 14:ma14154073. [PMID: 34361267 PMCID: PMC8347348 DOI: 10.3390/ma14154073] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 07/15/2021] [Accepted: 07/17/2021] [Indexed: 11/23/2022]
Abstract
Anchoring single metal atoms has been demonstrated as an effective strategy to boost the catalytic performance of non-noble metal 1T-MoS2 towards hydrogen evolution reaction (HER). However, the dual active sites on 1T-MoS2 still remain a great challenge. Here, first-principles calculations were performed to systematically investigate the electrocatalytic HER activity of single and dual transition metal (TM) atoms bound to the 1T-MoS2 monolayer (TM@1T-MoS2). The resulted Ti@1T-MoS2 exhibits excellent structural stability, near-thermoneutral adsorption of H* and ultralow reaction barrier (0.15 eV). It is a promising single metal atom catalyst for HER, outperformed the reported Co, Ni and Pd anchoring species. Surprisingly, by further introducing Pd atoms coordinated with S atoms or S vacancies on the Ti@1T-MoS2 surface, the resulted catalyst not only maintains the high HER activity of Ti sites, but also achieves new dual active moiety due to the appropriate H* adsorption free energy on Pd sites. This work is of great significance for realizing dual active centers on 1T-MoS2 nanosheets and offers new thought for developing high-performance electrocatalysts for HER.
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107
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Figueras M, Gutiérrez RA, Viñes F, Ramírez PJ, Rodriguez JA, Illas F. Supported Molybdenum Carbide Nanoparticles as an Excellent Catalyst for CO 2 Hydrogenation. ACS Catal 2021. [DOI: 10.1021/acscatal.1c01738] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Marc Figueras
- Departament de Ciència de Materials i Química Física & Institut de Química Teòrica i Computacional (IQTCUB), Universitat de Barcelona, c/ Martí i Franquès 1-11, 08028 Barcelona, Spain
| | - Ramón A. Gutiérrez
- Facultad de Ciencias, Universidad Central de Venezuela, 1020-A Caracas, Venezuela
- Chemistry Division, Brookhaven National Laboratory, Upton, New York 11973, United States
| | - Francesc Viñes
- Departament de Ciència de Materials i Química Física & Institut de Química Teòrica i Computacional (IQTCUB), Universitat de Barcelona, c/ Martí i Franquès 1-11, 08028 Barcelona, Spain
| | - Pedro J. Ramírez
- Facultad de Ciencias, Universidad Central de Venezuela, 1020-A Caracas, Venezuela
| | - José A. Rodriguez
- Chemistry Division, Brookhaven National Laboratory, Upton, New York 11973, United States
| | - Francesc Illas
- Departament de Ciència de Materials i Química Física & Institut de Química Teòrica i Computacional (IQTCUB), Universitat de Barcelona, c/ Martí i Franquès 1-11, 08028 Barcelona, Spain
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108
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Xu L, Stangland EE, Dumesic JA, Mavrikakis M. Hydrodechlorination of 1,2-Dichloroethane on Platinum Catalysts: Insights from Reaction Kinetics Experiments, Density Functional Theory, and Microkinetic Modeling. ACS Catal 2021. [DOI: 10.1021/acscatal.1c00940] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- Lang Xu
- Department of Chemical & Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Eric E. Stangland
- Core Research and Development, Dow, Midland, Michigan 48667, United States
| | - James A. Dumesic
- Department of Chemical & Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Manos Mavrikakis
- Department of Chemical & Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
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109
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Baraiya BA, Tanna H, Mankad V, Jha PK. Dressing of Cu Atom over Nickel Cluster Stimulating the Poisoning-Free CO Oxidation: An Ab Initio Study. J Phys Chem A 2021; 125:5256-5272. [PMID: 34115503 DOI: 10.1021/acs.jpca.1c02354] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
In this work using first-principles calculations based on spin-polarized density functional theory (DFT), the role of the Cu atom in degrading the poisoning of carbon monoxide (CO) over NinCu clusters is unveiled. The search has been initiated with the examination of structural, magnetic, and electronic properties of Nin+1 and NinCu clusters (1 ≤ n ≤ 12). X-ray absorption near-edge structure (XANES) spectra of Ni K-edge are computed to extract the information on the oxidation states and coordination environment of metal sites of the clusters. This study is operated with the two forms of dispersion corrections, i.e., D2 and D3, with standard DFT (with LDA and GGA functionals) for the consideration of van der Waals interactions during CO adsorption. The PBE and PBE-D3 approaches are found to be capable of yielding the experimentally observed preferential site for CO adsorption. The effect of spin-polarization on the reactivity of transition metals (TMs) toward CO adsorption is crucially assessed by the electronic reactivity descriptors such as d-band center, d-band width, and fractional filling of d-band using a spin-polarized d-band center model. The effective charge transfer from Cu to Ni atoms makes Ni atoms more efficient of charge and is attributed to the degrading adsorption of CO over NinCu clusters. The Ni12Cu cluster stands out with good CO oxidation activity for the Langmuir-Hinshelwood (L-H) reaction pathway.
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Affiliation(s)
- Bhumi A Baraiya
- Department of Physics, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara 390002, Gujarat, India
| | - Hemang Tanna
- Department of Physics, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara 390002, Gujarat, India
| | - Venu Mankad
- Department of Physics, School of Sciences, GITAM University, Hyderabad Campus, Hyderabad 502329, Telangana, India
| | - Prafulla K Jha
- Department of Physics, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara 390002, Gujarat, India
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110
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Saidi WA, Shadid W, Veser G. Optimization of High-Entropy Alloy Catalyst for Ammonia Decomposition and Ammonia Synthesis. J Phys Chem Lett 2021; 12:5185-5192. [PMID: 34038141 DOI: 10.1021/acs.jpclett.1c01242] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The successful synthesis of high-entropy alloy (HEA) nanoparticles, a long-sought goal in materials science, opens a new frontier in materials science with applications across catalysis, structural alloys, and energetic materials. Recently, a Co25Mo45Fe10Ni10Cu10 HEA made of earth-abundant elements was shown to have a high catalytic activity for ammonia decomposition, which rivals that of state-of-the-art, but prohibitively expensive, ruthenium catalysts. Using a computational approach based on first-principles calculations in conjunction with data analytics and machine learning, we build a model to rapidly compute the adsorption energy of H, N, and NHx (x = 1, 2, 3) species on CoMoFeNiCu alloy surfaces with varied alloy compositions and atomic arrangements. We show that the 25/45 Co/Mo ratio identified experimentally as the most active composition for ammonia decomposition increases the likelihood that the surface adsorbs nitrogen equivalently to that of ruthenium while at the same time interacting moderately strongly with intermediates. Our study underscores the importance of computational modeling and machine learning to identify and optimize HEA alloys across their near-infinite materials design space.
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Affiliation(s)
- Wissam A Saidi
- Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States
| | - Waseem Shadid
- Department of System and Information Systems, University of North Carolina Charlotte, Charlotte, North Carolina 28223, United States
| | - Götz Veser
- Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States
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111
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Xu J, Cao XM, Hu P. Perspective on computational reaction prediction using machine learning methods in heterogeneous catalysis. Phys Chem Chem Phys 2021; 23:11155-11179. [PMID: 33972971 DOI: 10.1039/d1cp01349a] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Heterogeneous catalysis plays a significant role in the modern chemical industry. Towards the rational design of novel catalysts, understanding reactions over surfaces is the most essential aspect. Typical industrial catalytic processes such as syngas conversion and methane utilisation can generate a large reaction network comprising thousands of intermediates and reaction pairs. This complexity not only arises from the permutation of transformations between species but also from the extra reaction channels offered by distinct surface sites. Despite the success in investigating surface reactions at the atomic scale, the huge computational expense of ab initio methods hinders the exploration of such complicated reaction networks. With the proliferation of catalysis studies, machine learning as an emerging tool can take advantage of the accumulated reaction data to emulate the output of ab initio methods towards swift reaction prediction. Here, we briefly summarise the conventional workflow of reaction prediction, including reaction network generation, ab initio thermodynamics and microkinetic modelling. An overview of the frequently used regression models in machine learning is presented. As a promising alternative to full ab initio calculations, machine learning interatomic potentials are highlighted. Furthermore, we survey applications assisted by these methods for accelerating reaction prediction, exploring reaction networks, and computational catalyst design. Finally, we envisage future directions in computationally investigating reactions and implementing machine learning algorithms in heterogeneous catalysis.
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Affiliation(s)
- Jiayan Xu
- Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, Frontiers Science Center for Materiobiology and Dynamic Chemistry, Centre for Computational Chemistry and Research Institute of Industrial Catalysis, School of Chemistry and Molecular Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, P. R. China. and School of Chemistry and Chemical Engineering, Queen's University Belfast, Belfast BT9 5AG, UK
| | - Xiao-Ming Cao
- Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, Frontiers Science Center for Materiobiology and Dynamic Chemistry, Centre for Computational Chemistry and Research Institute of Industrial Catalysis, School of Chemistry and Molecular Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, P. R. China.
| | - P Hu
- Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, Frontiers Science Center for Materiobiology and Dynamic Chemistry, Centre for Computational Chemistry and Research Institute of Industrial Catalysis, School of Chemistry and Molecular Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, P. R. China. and School of Chemistry and Chemical Engineering, Queen's University Belfast, Belfast BT9 5AG, UK
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112
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Docherty SR, Copéret C. Deciphering Metal–Oxide and Metal–Metal Interplay via Surface Organometallic Chemistry: A Case Study with CO2 Hydrogenation to Methanol. J Am Chem Soc 2021; 143:6767-6780. [DOI: 10.1021/jacs.1c02555] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Scott R. Docherty
- Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir Prelog Weg 1-5, CH-8093 Zurich, Switzerland
| | - Christophe Copéret
- Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir Prelog Weg 1-5, CH-8093 Zurich, Switzerland
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113
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Hollow-Shell-Structured Mesoporous Silica-Supported Palladium Catalyst for an Efficient Suzuki-Miyaura Cross-Coupling Reaction. Catalysts 2021. [DOI: 10.3390/catal11050582] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
The construction of a high stability heterogeneous catalyst for privileged common catalysis is a benefit in regard to reuse and separation. Herein, a palladium diphenylphosphine-based hollow-shell-structured mesoporous catalyst (HS@PdPPh2@MSN) was prepared by immobilizing bis((diphenylphosphino)ethyltriethoxysilane)palladium acetate onto the inner wall of a mesoporous organicsilicane hollow shell, whose surface was protected by a –Si(Me)3 group. Electron microscopies confirmed its hollow-shell-structure, and structural analyses and characterizations revealed its well-defined single-site active species within the silicate network. As presented in this study, the newly constructed HS@PdPPh2@MSN enabled an efficient Suzuki-Miyaura cross-coupling reaction for varieties of substrates with up to 95% yield in mild conditions. Meanwhile, it could be reused at least five times with good activity, indicating its excellent stability and recyclability. Furthermore, the cost-effective and easily synthesized HS@PdPPh2@MSN made it a good candidate for employment in fine chemical engineering.
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114
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Morales‐García Á, Viñes F, Gomes JRB, Illas F. Concepts, models, and methods in computational heterogeneous catalysis illustrated through
CO
2
conversion. WIRES COMPUTATIONAL MOLECULAR SCIENCE 2021. [DOI: 10.1002/wcms.1530] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Ángel Morales‐García
- Departament de Ciència de Materials i Química Física & Institut de Química Teòrica i Computacional (IQTCUB) Universitat de Barcelona Barcelona Spain
| | - Francesc Viñes
- Departament de Ciència de Materials i Química Física & Institut de Química Teòrica i Computacional (IQTCUB) Universitat de Barcelona Barcelona Spain
| | - José R. B. Gomes
- CICECO—Aveiro Institute of Materials, Department of Chemistry University of Aveiro Aveiro Portugal
| | - Francesc Illas
- Departament de Ciència de Materials i Química Física & Institut de Química Teòrica i Computacional (IQTCUB) Universitat de Barcelona Barcelona Spain
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115
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Shi XL, Jiang L, Sun B, Liu S, Du M, Hu Q, Gong H, Liu B. Tuning acid–base cooperativity to create bifunctional fiber catalysts for one-pot tandem reactions in water. REACT CHEM ENG 2021. [DOI: 10.1039/d1re00352f] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A simple and straightforward route to create acid–base bifunctional fiber catalysts for efficient one-pot tandem deprotection-Knoevenagel reactions in water.
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Affiliation(s)
- Xian-Lei Shi
- Synergism Innovative Center of Coal Safety Production in Henan Province, Henan Polytechnic University, Jiaozuo, Henan 454003, P. R. China
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, No. 92, Weijin Road, Tianjin 300072, P. R. China
| | - Lijuan Jiang
- Synergism Innovative Center of Coal Safety Production in Henan Province, Henan Polytechnic University, Jiaozuo, Henan 454003, P. R. China
| | - Benyu Sun
- Synergism Innovative Center of Coal Safety Production in Henan Province, Henan Polytechnic University, Jiaozuo, Henan 454003, P. R. China
| | - Shuangshuang Liu
- Synergism Innovative Center of Coal Safety Production in Henan Province, Henan Polytechnic University, Jiaozuo, Henan 454003, P. R. China
| | - Mengmeng Du
- Synergism Innovative Center of Coal Safety Production in Henan Province, Henan Polytechnic University, Jiaozuo, Henan 454003, P. R. China
| | - Qianqian Hu
- Synergism Innovative Center of Coal Safety Production in Henan Province, Henan Polytechnic University, Jiaozuo, Henan 454003, P. R. China
| | - Honghui Gong
- Synergism Innovative Center of Coal Safety Production in Henan Province, Henan Polytechnic University, Jiaozuo, Henan 454003, P. R. China
| | - Baozhong Liu
- Synergism Innovative Center of Coal Safety Production in Henan Province, Henan Polytechnic University, Jiaozuo, Henan 454003, P. R. China
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116
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Ke J, Wang YD, Wang CM. First-principles microkinetic simulations revealing the scaling relations and structure sensitivity of CO 2 hydrogenation to C 1 & C 2 oxygenates on Pd surfaces. Catal Sci Technol 2021. [DOI: 10.1039/d1cy00700a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
CO2 hydrogenation to alcohols and other oxygenates on Pd(211) and Pd(111) surfaces was studied by microkinetic modelling. Energy scaling relations on two surfaces were established. Activity plots as a function of reaction conditions were identified.
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Affiliation(s)
- Jun Ke
- State Key Laboratory of Green Chemical Engineering and Industrial Catalysis
- Sinopec Shanghai Research Institute of Petrochemical Technology
- Shanghai 201208
- China
| | - Yang-Dong Wang
- State Key Laboratory of Green Chemical Engineering and Industrial Catalysis
- Sinopec Shanghai Research Institute of Petrochemical Technology
- Shanghai 201208
- China
| | - Chuan-Ming Wang
- State Key Laboratory of Green Chemical Engineering and Industrial Catalysis
- Sinopec Shanghai Research Institute of Petrochemical Technology
- Shanghai 201208
- China
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