Literature DB >> 28059774

Long-time atomistic dynamics through a new self-adaptive accelerated molecular dynamics method.

N Gao1, L Yang, F Gao, R J Kurtz, D West, S Zhang.   

Abstract

A self-adaptive accelerated molecular dynamics method is developed to model infrequent atomic-scale events, especially those events that occur on a rugged free-energy surface. Key in the new development is the use of the total displacement of the system at a given temperature to construct a boost-potential, which is slowly increased to accelerate the dynamics. The temperature is slowly increased to accelerate the dynamics. By allowing the system to evolve from one steady-state configuration to another by overcoming the transition state, this self-evolving approach makes it possible to explore the coupled motion of species that migrate on vastly different time scales. The migrations of single vacancy (V) and small He-V clusters, and the growth of nano-sized He-V clusters in Fe for times in the order of seconds are studied by this new method. An interstitial-assisted mechanism is first explored for the migration of a helium-rich He-V cluster, while a new two-component Ostwald ripening mechanism is suggested for He-V cluster growth.

Entities:  

Year:  2017        PMID: 28059774     DOI: 10.1088/1361-648X/aa574b

Source DB:  PubMed          Journal:  J Phys Condens Matter        ISSN: 0953-8984            Impact factor:   2.333


  4 in total

1.  Reformulation of the self-guided molecular simulation method.

Authors:  Xiongwu Wu; Bernard R Brooks
Journal:  J Chem Phys       Date:  2020-09-07       Impact factor: 3.488

2.  The mobility of small vacancy/helium complexes in tungsten and its impact on retention in fusion-relevant conditions.

Authors:  Danny Perez; Luis Sandoval; Sophie Blondel; Brian D Wirth; Blas P Uberuaga; Arthur F Voter
Journal:  Sci Rep       Date:  2017-05-30       Impact factor: 4.379

Review 3.  An Overview of Recent Standard and Accelerated Molecular Dynamics Simulations of Helium Behavior in Tungsten.

Authors:  Luis Sandoval; Danny Perez; Blas P Uberuaga; Arthur F Voter
Journal:  Materials (Basel)       Date:  2019-08-07       Impact factor: 3.623

Review 4.  Enhanced sampling without borders: on global biasing functions and how to reweight them.

Authors:  Anna S Kamenik; Stephanie M Linker; Sereina Riniker
Journal:  Phys Chem Chem Phys       Date:  2022-01-19       Impact factor: 3.676

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.