Literature DB >> 30802053

Graph Theory Approach to High-Throughput Surface Adsorption Structure Generation.

Jacob R Boes1, Osman Mamun1, Kirsten Winther1, Thomas Bligaard2.   

Abstract

We present a methodology for graph based enumeration of surfaces and unique chemical adsorption structures bonded to those surfaces. Utilizing the graph produced from a bulk structure, we create a unique graph representation for any general slab cleave and further extend that representation to include a large variety of catalytically relevant adsorbed molecules. We also demonstrate simple geometric procedures to generate 3D initial guesses of these enumerated structures. While generally useful for generating a wide variety of structures used in computational surface science and heterogeneous catalysis, these techniques are also key to facilitating an informatics approach to the high-throughput search for more effective catalysts.

Year:  2019        PMID: 30802053     DOI: 10.1021/acs.jpca.9b00311

Source DB:  PubMed          Journal:  J Phys Chem A        ISSN: 1089-5639            Impact factor:   2.781


  8 in total

1.  High-throughput calculations of catalytic properties of bimetallic alloy surfaces.

Authors:  Osman Mamun; Kirsten T Winther; Jacob R Boes; Thomas Bligaard
Journal:  Sci Data       Date:  2019-05-28       Impact factor: 6.444

2.  Catalysis-Hub.org, an open electronic structure database for surface reactions.

Authors:  Kirsten T Winther; Max J Hoffmann; Jacob R Boes; Osman Mamun; Michal Bajdich; Thomas Bligaard
Journal:  Sci Data       Date:  2019-05-28       Impact factor: 6.444

3.  Adsorption of azide-functionalized thiol linkers on zinc oxide surfaces.

Authors:  Petia Atanasova; Maofeng Dou; Shravan R Kousik; Joachim Bill; Maria Fyta
Journal:  RSC Adv       Date:  2021-01-29       Impact factor: 3.361

4.  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

5.  Automated exploitation of the big configuration space of large adsorbates on transition metals reveals chemistry feasibility.

Authors:  Geun Ho Gu; Miriam Lee; Yousung Jung; Dionisios G Vlachos
Journal:  Nat Commun       Date:  2022-04-26       Impact factor: 17.694

6.  Adsorbate chemical environment-based machine learning framework for heterogeneous catalysis.

Authors:  Pushkar G Ghanekar; Siddharth Deshpande; Jeffrey Greeley
Journal:  Nat Commun       Date:  2022-10-02       Impact factor: 17.694

7.  Hydrogen Adsorption on Au-Supported Pt and Pd Nanoislands: A Computational Study of Hydrogen Coverage Effects.

Authors:  Juan A Santana; Joshua Meléndez-Rivera
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2021-03-01       Impact factor: 4.126

8.  Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems.

Authors:  John A Keith; Valentin Vassilev-Galindo; Bingqing Cheng; Stefan Chmiela; Michael Gastegger; Klaus-Robert Müller; Alexandre Tkatchenko
Journal:  Chem Rev       Date:  2021-07-07       Impact factor: 60.622

  8 in total

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