Literature DB >> 29113430

ChIMES: A Force Matched Potential with Explicit Three-Body Interactions for Molten Carbon.

Rebecca K Lindsey1, Laurence E Fried1, Nir Goldman1.   

Abstract

We present a new force field and development scheme for atomistic simulations of materials under extreme conditions. These models, which explicitly include two- and three-body interactions, are generated by fitting linear combinations of Chebyshev polynomials through force matching to trajectories from Kohn-Sham density functional theory (DFT). We apply our method to liquid carbon near the diamond/graphite/liquid triple point and at higher densities and temperatures, where metallization and many-body effects may be substantial. We show that explicit inclusion of three-body interaction terms allows our model to yield improved descriptions of both dynamic and structural properties over previous empirical potential efforts, while exhibiting transferability to nearby state points. The simplicity of our functional form and subsequent efficiency of parameter determination allow for extension of DFT to experimental time and length scales while retaining most of its accuracy.

Entities:  

Year:  2017        PMID: 29113430     DOI: 10.1021/acs.jctc.7b00867

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  5 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.  A new one-site coarse-grained model for water: Bottom-up many-body projected water (BUMPer). I. General theory and model.

Authors:  Jaehyeok Jin; Yining Han; Alexander J Pak; Gregory A Voth
Journal:  J Chem Phys       Date:  2021-01-28       Impact factor: 3.488

3.  Chemistry-mediated Ostwald ripening in carbon-rich C/O systems at extreme conditions.

Authors:  Rebecca K Lindsey; Nir Goldman; Laurence E Fried; Sorin Bastea
Journal:  Nat Commun       Date:  2022-03-17       Impact factor: 14.919

4.  Machine learning of material properties: Predictive and interpretable multilinear models.

Authors:  Alice E A Allen; Alexandre Tkatchenko
Journal:  Sci Adv       Date:  2022-05-06       Impact factor: 14.957

5.  Ultrafast shock synthesis of nanocarbon from a liquid precursor.

Authors:  Michael R Armstrong; Rebecca K Lindsey; Nir Goldman; Michael H Nielsen; Elissaios Stavrou; Laurence E Fried; Joseph M Zaug; Sorin Bastea
Journal:  Nat Commun       Date:  2020-01-17       Impact factor: 14.919

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.