Computational chemistry software and its advancement: Three Grand Challenge cases for computational molecular science

A.I. Krylov, T. Windus, T. Barnes, E. Marin-Rimoldi, J. Nash, B. Pritchard, D. Smith, D. Altarawy, P. Saxe, C. Clementi, T. D. Crawford, R. Harrison, S. Jha, V. Pande, and T. Head-Gordon
J. Chem. Phys. , submitted (2018)

The field of computational molecular sciences (CMS) 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, and increasing the deployment of new models onto hardware platforms from in-house clusters, to mid-range computing systems and 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 developing structural ensembles for intrinsically disordered proteins.


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