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Perspective: Computational chemistry software and its advancement as illustrated through three grand challenge cases for molecular science.
Krylov, Anna; Windus, Theresa L; Barnes, Taylor; Marin-Rimoldi, Eliseo; Nash, Jessica A; Pritchard, Benjamin; Smith, Daniel G A; Altarawy, Doaa; Saxe, Paul; Clementi, Cecilia; Crawford, T Daniel; Harrison, Robert J; Jha, Shantenu; Pande, Vijay S; Head-Gordon, Teresa.
Afiliação
  • Krylov A; Department of Chemistry, University of Southern California, Los Angeles, California 90089, USA.
  • Windus TL; Department of Chemistry, Iowa State University, Ames, Iowa 50011, USA.
  • Barnes T; Molecular Sciences Software Institute, Blacksburg, Virginia 24061, USA.
  • Marin-Rimoldi E; Molecular Sciences Software Institute, Blacksburg, Virginia 24061, USA.
  • Nash JA; Molecular Sciences Software Institute, Blacksburg, Virginia 24061, USA.
  • Pritchard B; Molecular Sciences Software Institute, Blacksburg, Virginia 24061, USA.
  • Smith DGA; Molecular Sciences Software Institute, Blacksburg, Virginia 24061, USA.
  • Altarawy D; Molecular Sciences Software Institute, Blacksburg, Virginia 24061, USA.
  • Saxe P; Molecular Sciences Software Institute, Blacksburg, Virginia 24061, USA.
  • Clementi C; Department of Chemistry and Center for Theoretical Biological Physics, Rice University, 6100 Main Street, Houston, Texas 77005, USA.
  • Crawford TD; Department of Chemistry, Virginia Tech, Blacksburg, Virginia 24061, USA.
  • Harrison RJ; Institute for Advanced Computational Science, Stony Brook University, Stony Brook, New York 11794, USA.
  • Jha S; Electrical and Computer Engineering, Rutgers The State University of New Jersey, Piscataway, New Jersey 08854, USA.
  • Pande VS; Department of Bioengineering, Stanford University, Stanford, California 94305, USA.
  • Head-Gordon T; Department of Chemistry, Department of Bioengineering, Department of Chemical and Biomolecular Engineering, Pitzer Center for Theoretical Chemistry, University of California, Berkeley, California 94720, USA.
J Chem Phys ; 149(18): 180901, 2018 Nov 14.
Article em En | MEDLINE | ID: mdl-30441927
ABSTRACT
The field of computational molecular sciences (CMSs) has made innumerable contributions to the understanding of the molecular phenomena that underlie and control chemical processes, which is manifested in a large number of community software projects and codes. The CMS community is now poised to take the next transformative steps of better training in modern software design and engineering methods and tools, increasing interoperability through more systematic adoption of agreed upon standards and accepted best-practices, overcoming unnecessary redundancy in software effort along with greater reproducibility, and increasing the deployment of new software onto hardware platforms from in-house clusters to mid-range computing systems through to modern supercomputers. This in turn will have future impact on the software that will be created to address grand challenge science that we illustrate here the formulation of diverse catalysts, descriptions of long-range charge and excitation transfer, and development of structural ensembles for intrinsically disordered proteins.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Ano de publicação: 2018 Tipo de documento: Article