Literature DB >> 29756912

Growth Mechanism and Origin of High sp^{3} Content in Tetrahedral Amorphous Carbon.

Miguel A Caro1,2, Volker L Deringer3,4, Jari Koskinen5, Tomi Laurila1, Gábor Csányi3.   

Abstract

We study the deposition of tetrahedral amorphous carbon (ta-C) films from molecular dynamics simulations based on a machine-learned interatomic potential trained from density-functional theory data. For the first time, the high sp^{3} fractions in excess of 85% observed experimentally are reproduced by means of computational simulation, and the deposition energy dependence of the film's characteristics is also accurately described. High confidence in the potential and direct access to the atomic interactions allow us to infer the microscopic growth mechanism in this material. While the widespread view is that ta-C grows by "subplantation," we show that the so-called "peening" model is actually the dominant mechanism responsible for the high sp^{3} content. We show that pressure waves lead to bond rearrangement away from the impact site of the incident ion, and high sp^{3} fractions arise from a delicate balance of transitions between three- and fourfold coordinated carbon atoms. These results open the door for a microscopic understanding of carbon nanostructure formation with an unprecedented level of predictive power.

Entities:  

Year:  2018        PMID: 29756912     DOI: 10.1103/PhysRevLett.120.166101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  6 in total

1.  Gaussian Process Regression for Materials and Molecules.

Authors:  Volker L Deringer; Albert P Bartók; Noam Bernstein; David M Wilkins; Michele Ceriotti; Gábor Csányi
Journal:  Chem Rev       Date:  2021-08-16       Impact factor: 60.622

2.  Quantifying Chemical Structure and Machine-Learned Atomic Energies in Amorphous and Liquid Silicon.

Authors:  Noam Bernstein; Bishal Bhattarai; Gábor Csányi; David A Drabold; Stephen R Elliott; Volker L Deringer
Journal:  Angew Chem Int Ed Engl       Date:  2019-04-17       Impact factor: 15.336

Review 3.  Data-Driven Materials Science: Status, Challenges, and Perspectives.

Authors:  Lauri Himanen; Amber Geurts; Adam Stuart Foster; Patrick Rinke
Journal:  Adv Sci (Weinh)       Date:  2019-09-01       Impact factor: 16.806

4.  Characterization and electrochemical properties of iron-doped tetrahedral amorphous carbon (ta-C) thin films.

Authors:  Jarkko Etula; Niklas Wester; Sami Sainio; Tomi Laurila; Jari Koskinen
Journal:  RSC Adv       Date:  2018-07-24       Impact factor: 4.036

5.  Accurate Computational Prediction of Core-Electron Binding Energies in Carbon-Based Materials: A Machine-Learning Model Combining Density-Functional Theory and GW.

Authors:  Dorothea Golze; Markus Hirvensalo; Patricia Hernández-León; Anja Aarva; Jarkko Etula; Toma Susi; Patrick Rinke; Tomi Laurila; Miguel A Caro
Journal:  Chem Mater       Date:  2022-07-13       Impact factor: 10.508

6.  Reactivity of Amorphous Carbon Surfaces: Rationalizing the Role of Structural Motifs in Functionalization Using Machine Learning.

Authors:  Miguel A Caro; Anja Aarva; Volker L Deringer; Gábor Csányi; Tomi Laurila
Journal:  Chem Mater       Date:  2018-09-10       Impact factor: 9.811

  6 in total

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