4.7 Article

Topology Automated Force-Field Interactions (TAFFI): A Framework for Developing Transferable Force Fields

期刊

JOURNAL OF CHEMICAL INFORMATION AND MODELING
卷 61, 期 10, 页码 5013-5027

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jcim.1c00491

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资金

  1. Electrochemical Systems Program [2045887-CBET]
  2. American Chemical Society Petroleum Research Fund
  3. Purdue Process Safety and Assurance Center
  4. Princeton University
  5. Dreyfus Program for Machine Learning in the Chemical Sciences and Engineering
  6. National Science Foundation [ACI-1548562]

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Force-field development has evolved with the introduction of new methodologies such as quantum chemistry and machine learning. The TAFFI framework offers a systematic approach to develop transferable force fields by formalizing atom typing and maintaining consistency and transferability. Benchmarking against established force fields shows the potential of TAFFI while highlighting limitations of fixed-charge force fields.
Force-field development has undergone a revolution in the past decade with the proliferation of quantum chemistry based parametrizations and the introduction of machine learning approximations of the atomistic potential energy surface. Nevertheless, transferable force fields with broad coverage of organic chemical space remain necessary for applications in materials and chemical discovery where throughput, consistency, and computational cost are paramount. Here, we introduce a force-field development framework called Topology Automated Force-Field Interactions (TAFFI) for developing transferable force fields of varying complexity against an extensible database of quantum chemistry calculations. TAFFI formalizes the concept of atom typing and makes it the basis for generating systematic training data that maintains a one-to-one correspondence with force-field terms. This feature makes TAFFI arbitrarily extensible to new chemistries while maintaining internal consistency and transferability. As a demonstration of TAFFI, we have developed a fixed-charge force-field, TAFFI-gen, from scratch that includes coverage for common organic functional groups that is comparable to established transferable force fields. The performance of TAFFI-gen was benchmarked against OPLS and GAFF for reproducing several experimental properties of 87 organic liquids. The consistent performance of these force fields, despite their distinct origins, validates the TAFFI framework while also providing evidence of the representability limitations of fixed-charge force fields.

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