Literature DB >> 16956255

Predicting catalysis: understanding ammonia synthesis from first-principles calculations.

A Hellman1, E J Baerends, M Biczysko, T Bligaard, C H Christensen, D C Clary, S Dahl, R van Harrevelt, K Honkala, H Jonsson, G J Kroes, M Luppi, U Manthe, J K Nørskov, R A Olsen, J Rossmeisl, E Skúlason, C S Tautermann, A J C Varandas, J K Vincent.   

Abstract

Here, we give a full account of a large collaborative effort toward an atomic-scale understanding of modern industrial ammonia production over ruthenium catalysts. We show that overall rates of ammonia production can be determined by applying various levels of theory (including transition state theory with or without tunneling corrections, and quantum dynamics) to a range of relevant elementary reaction steps, such as N(2) dissociation, H(2) dissociation, and hydrogenation of the intermediate reactants. A complete kinetic model based on the most relevant elementary steps can be established for any given point along an industrial reactor, and the kinetic results can be integrated over the catalyst bed to determine the industrial reactor yield. We find that, given the present uncertainties, the rate of ammonia production is well-determined directly from our atomic-scale calculations. Furthermore, our studies provide new insight into several related fields, for instance, gas-phase and electrochemical ammonia synthesis. The success of predicting the outcome of a catalytic reaction from first-principles calculations supports our point of view that, in the future, theory will be a fully integrated tool in the search for the next generation of catalysts.

Entities:  

Year:  2006        PMID: 16956255     DOI: 10.1021/jp056982h

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  10 in total

1.  N₂reduction and hydrogenation to ammonia by a molecular iron-potassium complex.

Authors:  Meghan M Rodriguez; Eckhard Bill; William W Brennessel; Patrick L Holland
Journal:  Science       Date:  2011-11-11       Impact factor: 47.728

2.  Rational design of metal nitride redox materials for solar-driven ammonia synthesis.

Authors:  Ronald Michalsky; Peter H Pfromm; Aldo Steinfeld
Journal:  Interface Focus       Date:  2015-06-06       Impact factor: 3.906

3.  Dinitrogen Activation and Functionalization using β-Diketiminate Iron Complexes.

Authors:  Samuel M Bhutto; Patrick L Holland
Journal:  Eur J Inorg Chem       Date:  2019-04-01       Impact factor: 2.524

4.  Deep Learning-Assisted Investigation of Electric Field-Dipole Effects on Catalytic Ammonia Synthesis.

Authors:  Mingyu Wan; Han Yue; Jaime Notarangelo; Hongfu Liu; Fanglin Che
Journal:  JACS Au       Date:  2022-06-02

5.  Dinitrogen Insertion and Cleavage by a Metal-Metal Bonded Tricobalt(I) Cluster.

Authors:  Mary C Eaton; Vincent J Catalano; Jason Shearer; Leslie J Murray
Journal:  J Am Chem Soc       Date:  2021-04-08       Impact factor: 15.419

6.  Accurate Neural Network Description of Surface Phonons in Reactive Gas-Surface Dynamics: N2 + Ru(0001).

Authors:  Khosrow Shakouri; Jörg Behler; Jörg Meyer; Geert-Jan Kroes
Journal:  J Phys Chem Lett       Date:  2017-04-28       Impact factor: 6.475

7.  Setting benchmarks for modelling gas-surface interactions using coherent control of rotational orientation states.

Authors:  Yosef Alkoby; Helen Chadwick; Oded Godsi; Hamza Labiad; Matthew Bergin; Joshua T Cantin; Ilya Litvin; Tsofar Maniv; Gil Alexandrowicz
Journal:  Nat Commun       Date:  2020-06-19       Impact factor: 14.919

8.  Graphene Oxyhydride Catalysts in View of Spin Radical Chemistry.

Authors:  Elena F Sheka
Journal:  Materials (Basel)       Date:  2020-01-24       Impact factor: 3.623

9.  Autonomous Reaction Network Exploration in Homogeneous and Heterogeneous Catalysis.

Authors:  Miguel Steiner; Markus Reiher
Journal:  Top Catal       Date:  2022-01-13       Impact factor: 2.910

10.  Photochemical activation of carbon dioxide in Mg+(CO2)(H2O)0,1.

Authors:  Tobias F Pascher; Erik Barwa; Christian van der Linde; Martin K Beyer; Milan Ončák
Journal:  Theor Chem Acc       Date:  2020-07-04       Impact factor: 1.702

  10 in total

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