摘要

In this article we present our recent efforts in designing a comprehensive consistent scientific workflow, nicknamed Wolf(2) Pack, for force-field optimization in the field of computational chemistry. Atomistic force fields represent a multiscale bridge that connects high-resolution quantum mechanics knowledge to coarser molecular mechanics-based models. Force-field optimization has so far been a time-consuming and error-prone process, and is a topic where the use of a scientific workflow can provide obvious great benefits. As a case study we generate a gas-phase force field for methanol using Wolf(2) Pack, with special attention given toward deriving partial atomic charges.

  • 出版日期2011-10