Literature DB >> 21797550

Temperature-accelerated method for exploring polymorphism in molecular crystals based on free energy.

Tang-Qing Yu1, Mark E Tuckerman.   

Abstract

The ability of certain organic molecules to form multiple crystal structures, known as polymorphism, has important ramifications for pharmaceuticals and high energy materials. Here, we introduce an efficient molecular dynamics method for rapidly identifying and thermodynamically ranking polymorphs. The new method employs high temperature and adiabatic decoupling to the simulation cell parameters in order to sample the Gibbs free energy of the polymorphs. Polymorphism in solid benzene is revisited, and a resolution to a long-standing controversy concerning the benzene II structure is proposed.

Entities:  

Year:  2011        PMID: 21797550     DOI: 10.1103/PhysRevLett.107.015701

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


  8 in total

1.  Perspective: Quantum mechanical methods in biochemistry and biophysics.

Authors:  Qiang Cui
Journal:  J Chem Phys       Date:  2016-10-14       Impact factor: 3.488

2.  Predicting polymorphism in molecular crystals using orientational entropy.

Authors:  Pablo M Piaggi; Michele Parrinello
Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-20       Impact factor: 11.205

3.  Order-parameter-aided temperature-accelerated sampling for the exploration of crystal polymorphism and solid-liquid phase transitions.

Authors:  Tang-Qing Yu; Pei-Yang Chen; Ming Chen; Amit Samanta; Eric Vanden-Eijnden; Mark Tuckerman
Journal:  J Chem Phys       Date:  2014-06-07       Impact factor: 3.488

4.  Modeling the α- and β-resorcinol phase boundary via combination of density functional theory and density functional tight-binding.

Authors:  Cameron Cook; Jessica L McKinley; Gregory J O Beran
Journal:  J Chem Phys       Date:  2021-04-07       Impact factor: 3.488

5.  Report on the sixth blind test of organic crystal structure prediction methods.

Authors:  Anthony M Reilly; Richard I Cooper; Claire S Adjiman; Saswata Bhattacharya; A Daniel Boese; Jan Gerit Brandenburg; Peter J Bygrave; Rita Bylsma; Josh E Campbell; Roberto Car; David H Case; Renu Chadha; Jason C Cole; Katherine Cosburn; Herma M Cuppen; Farren Curtis; Graeme M Day; Robert A DiStasio; Alexander Dzyabchenko; Bouke P van Eijck; Dennis M Elking; Joost A van den Ende; Julio C Facelli; Marta B Ferraro; Laszlo Fusti-Molnar; Christina Anna Gatsiou; Thomas S Gee; René de Gelder; Luca M Ghiringhelli; Hitoshi Goto; Stefan Grimme; Rui Guo; Detlef W M Hofmann; Johannes Hoja; Rebecca K Hylton; Luca Iuzzolino; Wojciech Jankiewicz; Daniël T de Jong; John Kendrick; Niek J J de Klerk; Hsin Yu Ko; Liudmila N Kuleshova; Xiayue Li; Sanjaya Lohani; Frank J J Leusen; Albert M Lund; Jian Lv; Yanming Ma; Noa Marom; Artëm E Masunov; Patrick McCabe; David P McMahon; Hugo Meekes; Michael P Metz; Alston J Misquitta; Sharmarke Mohamed; Bartomeu Monserrat; Richard J Needs; Marcus A Neumann; Jonas Nyman; Shigeaki Obata; Harald Oberhofer; Artem R Oganov; Anita M Orendt; Gabriel I Pagola; Constantinos C Pantelides; Chris J Pickard; Rafal Podeszwa; Louise S Price; Sarah L Price; Angeles Pulido; Murray G Read; Karsten Reuter; Elia Schneider; Christoph Schober; Gregory P Shields; Pawanpreet Singh; Isaac J Sugden; Krzysztof Szalewicz; Christopher R Taylor; Alexandre Tkatchenko; Mark E Tuckerman; Francesca Vacarro; Manolis Vasileiadis; Alvaro Vazquez-Mayagoitia; Leslie Vogt; Yanchao Wang; Rona E Watson; Gilles A de Wijs; Jack Yang; Qiang Zhu; Colin R Groom
Journal:  Acta Crystallogr B Struct Sci Cryst Eng Mater       Date:  2016-08-01

6.  Powder diffraction and crystal structure prediction identify four new coumarin polymorphs.

Authors:  Alexander G Shtukenberg; Qiang Zhu; Damien J Carter; Leslie Vogt; Johannes Hoja; Elia Schneider; Hongxing Song; Boaz Pokroy; Iryna Polishchuk; Alexandre Tkatchenko; Artem R Oganov; Andrew L Rohl; Mark E Tuckerman; Bart Kahr
Journal:  Chem Sci       Date:  2017-05-15       Impact factor: 9.825

7.  Predicting finite-temperature properties of crystalline carbon dioxide from first principles with quantitative accuracy.

Authors:  Yonaton N Heit; Kaushik D Nanda; Gregory J O Beran
Journal:  Chem Sci       Date:  2015-09-29       Impact factor: 9.825

Review 8.  Collective variable-based enhanced sampling and machine learning.

Authors:  Ming Chen
Journal:  Eur Phys J B       Date:  2021-10-20       Impact factor: 1.500

  8 in total

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