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Title: Crystal structure prediction of energetic materials and a twisted arene with Genarris and GAtor

Journal Article · · CrystEngComm
DOI: https://doi.org/10.1039/D1CE00745A · OSTI ID:1812555
 [1];  [1];  [1];  [2]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [4]
  1. Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
  2. Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
  3. Materials Science Division, Lawrence Livermore National Laboratory, Livermore, CA, 94550, USA
  4. Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA, Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, 15213, USA, Department of Physics, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

A molecular crystal structure prediction workflow, based on the random structure generator, Genarris, and the genetic algorithm (GA), GAtor, is successfully applied to two energetic materials and a chiral arene.

Sponsoring Organization:
USDOE
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
1812555
Journal Information:
CrystEngComm, Journal Name: CrystEngComm Journal Issue: 35 Vol. 23; ISSN CRECF4; ISSN 1466-8033
Publisher:
Royal Society of Chemistry (RSC)Copyright Statement
Country of Publication:
United Kingdom
Language:
English

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