Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Evaluating the Tamm-Dancoff Approximation for Two-Photon Absorption Properties.

Created on 11 Jun 2025

Authors

Ismael A Elayan, Ryan Johannson, Alex Brown

Published in

Journal of chemical theory and computation. Jun 11, 2025. Epub Jun 11, 2025.

Abstract

Two-photon absorption (2PA) is a powerful tool in nonlinear optics, enabling advanced applications like high-resolution microscopy and photodynamic therapy. In this study, we explore the 2PA properties of 20 chromophores using time-dependent density-functional theory (TD-DFT), TD-DFT with the Tamm-Dancoff approximation (TDA), and the resolution-of-identity approximation in conjunction with the second-order approximate coupled-cluster (RI-CC2). TDA's performance in predicting 2PA properties remains insufficiently characterized compared to (full) TD-DFT, where the functionals CAM-B3LYP, MN15, and ωB97X are used, and their results are compared to RI-CC2. This comparison involves assessing key photophysical properties, including 2PA cross sections (σ2PA) and dipole moments (μ00, μ11, μ01, and Δμ). Among the tested functionals, MN15 demonstrated the lowest mean absolute errors (MAEs) for the computed photophysical properties for both TDA and TD-DFT. Our findings indicate that TDA captures qualitative trends and provides slightly more accurate quantitative predictions with generally lower MAEs than TD-DFT. These findings suggest that the use of TDA has significant potential as a cost-effective alternative to (full) TD-DFT for predicting 2PA properties.

PMID:
40498323
Bibliographic data and abstract were imported from PubMed on 11 Jun 2025.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 24
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement