| Literature DB >> 30441927 |
Anna Krylov1, Theresa L Windus2, Taylor Barnes3, Eliseo Marin-Rimoldi3, Jessica A Nash3, Benjamin Pritchard3, Daniel G A Smith3, Doaa Altarawy3, Paul Saxe3, Cecilia Clementi4, T Daniel Crawford5, Robert J Harrison6, Shantenu Jha7, Vijay S Pande8, Teresa Head-Gordon9.
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.Entities:
Year: 2018 PMID: 30441927 DOI: 10.1063/1.5052551
Source DB: PubMed Journal: J Chem Phys ISSN: 0021-9606 Impact factor: 3.488