On the reliability of using reverse Monte Carlo simulations to construct the atomic structure model of metallic glasses

被引:4
作者
Liu, Chang [1 ]
Zhang, Zhen [1 ]
Ding, Jun [1 ]
Ma, En [1 ]
机构
[1] Xi An Jiao Tong Univ, Ctr Alloy Innovat & Design CAID, State Key Lab Mech Behav Mat, Xian 710049, Peoples R China
基金
中国国家自然科学基金;
关键词
Metallic glasses; Reverse Monte Carlo; Molecular dynamics; Atomic structure; MEDIUM-RANGE ORDER; MOLECULAR-DYNAMICS; LIQUIDS; MICROSCOPY; SCATTERING;
D O I
10.1016/j.scriptamat.2022.115159
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Reverse Monte Carlo (RMC) simulations have been widely utilized to generate three-dimensional structural models for amorphous materials. One practical case is the modeling of atomic-level structure in metallic glasses, based on, for example, X-ray scattering and extended x-ray absorption fine structure (EXAFS) data. However, to what extent this approach can faithfully mimic the atomic structure of real metallic glasses has not been quantitatively evaluated. Using the "known" configurations from molecular dynamics simulations as the benchmark, we evaluate the reliability of RMC modeling with the total structure factor and EXAFS as the input for RMC fitting. The results indicate that the RMC-generated configuration lacks accuracy in reconstructing the local atomic packing, which tends towards the most random (and thus more energetically unfavored) state that can reproduce the reference data. To help guide towards a physically stable and meaningful atomic configura- tion, we advise the incorporation of additional constraints and validation check points.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] Local Structure of Cobalt Tungstate Revealed by EXAFS Spectroscopy and Reverse Monte Carlo/Evolutionary Algorithm Simulations
    Timoshenko, Janis
    Anspoks, Andris
    Kalinko, Aleksandr
    Kuzmin, Alexei
    ZEITSCHRIFT FUR PHYSIKALISCHE CHEMIE-INTERNATIONAL JOURNAL OF RESEARCH IN PHYSICAL CHEMISTRY & CHEMICAL PHYSICS, 2016, 230 (04): : 551 - 568
  • [42] Influence of the Hydrogen Doping Method on the Atomic Structure, Mechanical Properties and Relaxation Behaviors of Metallic Glasses
    Zhang, Jiacheng
    Gao, Pengfei
    Zhang, Weixu
    MATERIALS, 2023, 16 (04)
  • [43] Kinetic Monte Carlo Simulations of Silicate Dissolution: Model Complexity and Parametrization
    Kurganskaya, Inna
    Luttge, Andreas
    JOURNAL OF PHYSICAL CHEMISTRY C, 2013, 117 (47) : 24894 - 24906
  • [44] Local structure correlations in plastic cyclohexane-a reverse Monte Carlo study
    Funnell, Nicholas P.
    Dove, Martin T.
    Goodwin, Andrew L.
    Parsons, Simon
    Tucker, Matthew G.
    JOURNAL OF PHYSICS-CONDENSED MATTER, 2013, 25 (45)
  • [45] Local atomic structure of quaternary Fe-based metallic glass studied by X-ray diffraction, Mossbauer spectroscopy and Reverse Monte Carlo modeling
    Babilas, Rafal
    Kadziolka-Gawel, Mariola
    Burian, Andrzej
    JOURNAL OF NON-CRYSTALLINE SOLIDS, 2016, 435 : 76 - 81
  • [46] Surface structure and properties of NiZr model metallic glasses: A molecular dynamics simulation
    Li, Qi-Kai
    Li, Mo
    JOURNAL OF NON-CRYSTALLINE SOLIDS, 2008, 354 (18) : 2060 - 2065
  • [47] Interpretation of X-ray Absorption Spectra of As(III) in Solution Using Monte Carlo Simulations
    Canche-Tello, Jesus
    Cristina Vargas, M.
    Hernandez-Cobos, Jorge
    Ortega-Blake, Ivan
    Leclercq, Amelie
    Solari, Pierre Lorenzo
    Den Auwer, Christophe
    Mustre de Leon, Jose
    JOURNAL OF PHYSICAL CHEMISTRY A, 2014, 118 (46) : 10967 - 10973
  • [48] Atomic structure of ZrO2-doped Li2O-SiO2-based multi-component glasses revealed by molecular dynamics-reverse Monte Carlo modeling
    Toyoda, R.
    Usui, K.
    Hirota, T.
    Kimura, K.
    Onodera, Y.
    Cicconi, M. R.
    Belli, R.
    Brehl, M.
    Lubauer, J.
    Lohbauer, U.
    Tajiri, H.
    Ikeda, K.
    Hayakawa, T.
    de Ligny, D.
    Kohara, S.
    Hayashi, K.
    JOURNAL OF NON-CRYSTALLINE SOLIDS, 2023, 616
  • [49] Mapping local atomic structure of metallic glasses using machine learning aided 4D-STEM
    Kang, Sangjun
    Wollersen, Vanessa
    Minnert, Christian
    Durst, Karsten
    Kim, Hyoung-Seop
    Kuebel, Christian
    Mu, Xiaoke
    ACTA MATERIALIA, 2024, 263
  • [50] Reverse Monte Carlo modeling: The two distinct routes of calculating the experimental structure factor
    Sanchez-Gil, V.
    Noya, E. G.
    Temleitner, L.
    Pusztai, L.
    JOURNAL OF MOLECULAR LIQUIDS, 2015, 207 : 211 - 215