3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      In Silico Ultrafast Nonlinear Spectroscopy Meets Experiments: The Case of Perylene Bisimide Dye

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Spectroscopy simulations are of paramount importance for the interpretation of experimental electronic spectra, the disentangling of overlapping spectral features, and the tracing of the microscopic origin of the observed signals. Linear and nonlinear simulations are based on the results drawn from electronic structure calculations that provide the necessary parameterization of the molecular systems probed by light. Here, we investigate the applicability of excited-state properties obtained from linear-response time-dependent density functional theory (TDDFT) in the description of nonlinear spectra by employing the pseudowavefunction approach and compare them with benchmarks from highly accurate RASSCF/RASPT2 calculations and with high temporal resolution experimental results. As a test case, we consider the prediction of femtosecond transient absorption and two-dimensional electronic spectroscopy of a perylene bisimide dye in solution. We find that experimental signals are well reproduced by both theoretical approaches, showing that the computationally cheaper TDDFT can be a suitable option for the simulation of nonlinear spectroscopy of molecular systems that are too large to be treated with higher-level RASSCF/RASPT2 methods.

          Related collections

          Most cited references58

          • Record: found
          • Abstract: not found
          • Article: not found

          NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            OpenMolcas: From source code to insight

            In this Article we describe the OpenMolcas environment and invite the computational chemistry community to collaborate. The open-source project already includes a large number of new developments realized during the transition from the commercial MOLCAS product to the open-source platform. The paper initially describes the technical details of the new software development platform. This is followed by brief presentations of many new methods, implementations, and features of the OpenMolcas program suite. These developments include novel wave function methods such as stochastic complete active space self-consistent field, density matrix renormalization group (DMRG) methods, and hybrid multiconfigurational wave function and density functional theory models. Some of these implementations include an array of additional options and functionalities. The paper proceeds and describes developments related to explorations of potential energy surfaces. Here we present methods for the optimization of conical intersections, the simulation of adiabatic and nonadiabatic molecular dynamics, and interfaces to tools for semiclassical and quantum mechanical nuclear dynamics. Furthermore, the Article describes features unique to simulations of spectroscopic and magnetic phenomena such as the exact semiclassical description of the interaction between light and matter, various X-ray processes, magnetic circular dichroism, and properties. Finally, the paper describes a number of built-in and add-on features to support the OpenMolcas platform with postcalculation analysis and visualization, a multiscale simulation option using frozen-density embedding theory, and new electronic and muonic basis sets.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Time-dependent density functional theory within the Tamm–Dancoff approximation

                Bookmark

                Author and article information

                Journal
                J Chem Theory Comput
                J Chem Theory Comput
                ct
                jctcce
                Journal of Chemical Theory and Computation
                American Chemical Society
                1549-9618
                1549-9626
                22 October 2021
                09 November 2021
                : 17
                : 11
                : 7134-7145
                Affiliations
                []Dipartimento di Chimica Industriale “Toso Montanari”, Università di Bologna , Viale del Risorgimento 4, Bologna I-40136, Italy
                []IFN-CNR, Dipartimento di Fisica, Politecnico di Milano , P. Leonardo da Vinci 32, Milan I-20133, Italy
                [§ ]Physical and Computational Sciences Directorate, Pacific Northwest National Laboratory , Richland, Washington 99352, United States
                []Dipartimento di Scienze Chimiche, Università degli studi di Padova , Via F. Marzolo, Padova I-35131, Italy
                []Department of Chemistry and Department of Physics and Astronomy, University of California , Irvine, California 92697, United States
                [# ]Department of Chemistry, The University of Memphis , Memphis, Tennessee 38152, United States
                Author notes
                Author information
                https://orcid.org/0000-0003-4150-6676
                https://orcid.org/0000-0002-2126-8378
                https://orcid.org/0000-0002-7836-1442
                https://orcid.org/0000-0003-3071-5341
                https://orcid.org/0000-0002-6015-3135
                https://orcid.org/0000-0001-9351-8551
                https://orcid.org/0000-0001-9227-1059
                https://orcid.org/0000-0003-3625-366X
                https://orcid.org/0000-0002-9534-2702
                https://orcid.org/0000-0002-0796-289X
                Article
                10.1021/acs.jctc.1c00570
                8582250
                34676761
                ebb852ba-149f-4c7d-9b21-53454144112a
                © 2021 American Chemical Society

                Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 08 June 2021
                Funding
                Funded by: Basic Energy Sciences, doi 10.13039/100006151;
                Award ID: DE-AC05-76RL1830
                Funded by: Ministero dell''Istruzione, dell''Università e della Ricerca, doi NA;
                Award ID: PRIN-201795SBA3
                Funded by: Basic Energy Sciences, doi 10.13039/100006151;
                Award ID: KC-030103172684
                Funded by: Basic Energy Sciences, doi 10.13039/100006151;
                Award ID: DE-SC0019484
                Categories
                Article
                Custom metadata
                ct1c00570
                ct1c00570

                Computational chemistry & Modeling
                Computational chemistry & Modeling

                Comments

                Comment on this article