Perspective: Computational chemistry software and its advancement as illustrated through three grand challenge cases for molecular science
Author(s) -
Anna I. Krylov,
Theresa L. Windus,
Taylor Barnes,
Eliseo MarinRimoldi,
Jessica A. Nash,
Benjamin P. Pritchard,
Daniel G. A. Smith,
Doaa Altarawy,
Paul Saxe,
Cecilia Clementi,
T. Daniel Crawford,
Robert J. Harrison,
Shantenu Jha,
Vijay S. Pande,
Teresa HeadGordon
Publication year - 2018
Publication title -
the journal of chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/1.5052551
Subject(s) - software deployment , software , interoperability , computer science , transformative learning , software engineering , data science , nanotechnology , engineering ethics , engineering , world wide web , sociology , materials science , pedagogy , programming language
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.
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