Literature DB >> 21171680

Crystal structure prediction using the minima hopping method.

Maximilian Amsler1, Stefan Goedecker.   

Abstract

A structure prediction method is presented based on the minima hopping method. To escape local minima, moves on the configurational enthalpy surface are performed by variable cell shape molecular dynamics. To optimize the escape steps the initial atomic and cell velocities are aligned to low curvature directions of the current local minimum. The method is applied to both silicon crystals and well-studied binary Lennard-Jones mixtures. For the latter new putative ground state structures are presented. It is shown that a high success rate is achieved and a reliable prediction of unknown ground state structures is possible.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21171680     DOI: 10.1063/1.3512900

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  11 in total

1.  Synthesis of a mixed-valent tin nitride and considerations of its possible crystal structures.

Authors:  Christopher M Caskey; Aaron Holder; Sarah Shulda; Steven T Christensen; David Diercks; Craig P Schwartz; David Biagioni; Dennis Nordlund; Alon Kukliansky; Amir Natan; David Prendergast; Bernardo Orvananos; Wenhao Sun; Xiuwen Zhang; Gerbrand Ceder; David S Ginley; William Tumas; John D Perkins; Vladan Stevanovic; Svitlana Pylypenko; Stephan Lany; Ryan M Richards; Andriy Zakutayev
Journal:  J Chem Phys       Date:  2016-04-14       Impact factor: 3.488

Review 2.  Into the Unknown: How Computation Can Help Explore Uncharted Material Space.

Authors:  Austin M Mroz; Victor Posligua; Andrew Tarzia; Emma H Wolpert; Kim E Jelfs
Journal:  J Am Chem Soc       Date:  2022-10-07       Impact factor: 16.383

3.  Machine Learning Strategy for Accelerated Design of Polymer Dielectrics.

Authors:  Arun Mannodi-Kanakkithodi; Ghanshyam Pilania; Tran Doan Huan; Turab Lookman; Rampi Ramprasad
Journal:  Sci Rep       Date:  2016-02-15       Impact factor: 4.379

4.  Topological Crystalline Insulator in a New Bi Semiconducting Phase.

Authors:  F Munoz; M G Vergniory; T Rauch; J Henk; E V Chulkov; I Mertig; S Botti; M A L Marques; A H Romero
Journal:  Sci Rep       Date:  2016-02-24       Impact factor: 4.379

5.  A polymer dataset for accelerated property prediction and design.

Authors:  Tran Doan Huan; Arun Mannodi-Kanakkithodi; Chiho Kim; Vinit Sharma; Ghanshyam Pilania; Rampi Ramprasad
Journal:  Sci Data       Date:  2016-03-01       Impact factor: 6.444

6.  Prediction of superconducting iron-bismuth intermetallic compounds at high pressure.

Authors:  Maximilian Amsler; S Shahab Naghavi; Chris Wolverton
Journal:  Chem Sci       Date:  2016-12-07       Impact factor: 9.825

7.  A hybrid organic-inorganic perovskite dataset.

Authors:  Chiho Kim; Tran Doan Huan; Sridevi Krishnan; Rampi Ramprasad
Journal:  Sci Data       Date:  2017-05-09       Impact factor: 6.444

8.  High-throughput search of ternary chalcogenides for p-type transparent electrodes.

Authors:  Jingming Shi; Tiago F T Cerqueira; Wenwen Cui; Fernando Nogueira; Silvana Botti; Miguel A L Marques
Journal:  Sci Rep       Date:  2017-03-07       Impact factor: 4.379

9.  Direct insight into the structure-property relation of interfaces from constrained crystal structure prediction.

Authors:  Lin Sun; Miguel A L Marques; Silvana Botti
Journal:  Nat Commun       Date:  2021-02-05       Impact factor: 14.919

10.  Systematic Comparison of Genetic Algorithm and Basin Hopping Approaches to the Global Optimization of Si(111) Surface Reconstructions.

Authors:  Maximilian N Bauer; Matt I J Probert; Chiara Panosetti
Journal:  J Phys Chem A       Date:  2022-05-06       Impact factor: 2.944

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.