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LibSC: Library for Scaling Correction Methods in Density Functional Theory.

Yuncai Mei1, Jincheng Yu1, Zehua Chen1

  • 1Department of Chemistry, Duke University, Durham, North Carolina 27708, United States.

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|January 21, 2022
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Summary
This summary is machine-generated.

A new library, LibSC, now makes advanced scaling correction (SC) methods for density functional theory (DFT) accessible. This open-source tool effectively reduces delocalization errors in quantum chemistry calculations.

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Area of Science:

  • Computational chemistry
  • Quantum chemistry
  • Materials science

Background:

  • Delocalization error is a systematic issue in conventional density functional approximations (DFAs).
  • Scaling correction (SC) methods developed in the Yang laboratory effectively address this error.
  • Previous SC methods were primarily confined to the QM4D package, limiting broader accessibility.

Purpose of the Study:

  • To develop a readily accessible and efficient implementation of global scaling correction (GSC) and localized orbital scaling correction (LOSC) methods.
  • To create a lightweight, open-source library (LibSC) for the quantum chemistry community.
  • To facilitate the use of SC methods in various computational chemistry packages.

Main Methods:

  • Developed LibSC, a modular and efficient library for GSC and LOSC methods.
  • Implemented simple and consistent interfaces for C, C++, and Python.
  • Integrated LibSC with popular quantum chemistry packages, Psi4 and PySCF.

Main Results:

  • LibSC provides reliable and efficient calculations for SC methods.
  • The library is designed for broad accessibility within the quantum chemistry community.
  • Successful integration with Psi4 and PySCF enables immediate use of SC methods by researchers.

Conclusions:

  • LibSC significantly enhances the accessibility of advanced SC methods for DFT.
  • The open-source library promotes wider application and research in addressing delocalization errors.
  • LibSC empowers researchers to perform accurate quantum chemistry calculations with reduced systematic errors.