Predicting the Color Polymorphism of ROY from a Time-Dependent Optimally Tuned Screened Range-Separated Hybrid Functional

Michal Hartstein, Guy Ohad, Leeor Kronik*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Polymorphism is a well-known property of molecular crystals, which allows the same molecule to form solids with several crystalline structures that can differ significantly in physical properties. Polymorphs that possess different optical absorption properties in the visible range may exhibit different perceived colors, a phenomenon known as color polymorphism. One striking example of color polymorphism is given by 5-methyl-2-[(2-nitrophenyl)amino]-3-thiophenecarbonitrile, known as ROY for its red-orange-yellow colors. First-principles prediction of color polymorphism may help in polymorph assignment and design but has proven to be challenging. Here, we predict the absorption spectra and simulate the colors of 12 ROY polymorphs using the general, nonempirical method of time-dependent (TD) optimally tuned screened range-separated hybrid (OT-SRSH) functional. For 5 ROY polymorphs with known experimental absorption spectra, we show that the TD-OT-SRSH approach predicts absorption spectra in quantitative agreement with experiment. For all polymorphs, we show that an accurate simulation of the colors is obtained, paving the way to a fully predictive, low-cost calculation of color polymorphism.

Original languageEnglish
Pages (from-to)5510-5516
Number of pages7
JournalJournal of Chemical Theory and Computation
Volume20
Issue number13
DOIs
Publication statusPublished Online - 6 Jun 2024

Funding

This work was supported by the Israel Science Foundation. L.K. acknowledges support from the Aryeh and Mintzi Katzmann Professorial Chair and from the Helen and Martin Kimmel Award for Innovative Investigation. We thank Prof. Dan Oron and Dr. Ayala Cohen (Weizmann Institute) and Prof. Sally Price (University College London) for helpful discussions. Publisher Copyright: © 2024 The Authors. Published by American Chemical Society.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Physical and Theoretical Chemistry

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