Published July 7, 2022 | Version v1
Dataset Open

Pyrene fluorescence data obtained by nonadiabatic dynamics calculations

  • 1. Departamento de Química, Instituto Militar de Engenharia (IME), Rio de Janeiro, RJ, Brazil
  • 2. Department of Mechanical Engineering, Texas Tech University, Lubbock, TX, 79409, USA
  • 3. Department of Chemistry and Biochemistry, Texas Tech University Lubbock, TX 79409-1061, USA
  • 4. Department of Chemistry, Loughborough University, Loughborough, UK
  • 5. Universidade Federal da Paraíba, 58059-900, João Pessoa-PB, Brazil
  • 6. Aix Marseille University, CNRS, ICR, Marseille, France
  • 7. Aix Marseille University, CNRS, ICR, Marseille, France, Institut Universitaire de France, 75231 Paris, France

Description

 

The dataset includes all trajectories of the nonadiabatic molecular dynamics simulations of pyrene. Each tar.gz directory contains two directories: INPUT and RESULTS.

In the INPUT directory, one has the input files for the Newton-X dynamics calculations and the subdirectory JOB_AD with the inputs for the ADC(2) calculations with TURBOMOLE. One also has the files "final_output.1.2" and "final_output.1.3" with the data used to obtain the emission spectrum.

In the RESULTS directory, one has the 20 trajectories for the S2 state and 52 trajectories initiated in S7-S8. For the latter, the trajectories numbered 1-32 started in S7, and those numbered 33-52 started in S8. One also has a directory called TRAJ1_uncorrected that corresponds to the data for TRAJ1 without the kinetic energy correction. The RESULTS directory contains all the output files from the Newton-X dynamics calculation, including the file dyn.out with the atomic coordinates, velocities, and energies for each time step. There is also a file called "get_points.py," a python script used to extract the data (from the dyn.out files) for the emission spectrum.

Notes

Acknowledgments: S.M and M.B. thank the European Research Council (ERC) advanced grant SubNano (Grant agreement 832237) and the Centre de Calcul Intensif d'Aix-Marseille. E.V. thanks the Brazilian agencies CAPES for funding the grant through the Capes/PrInt project (Grant number 88887.467063/2019-00). E.V. and S. A. M. thank the Brazilian agency CNPq (Grant Numbers 423112/2018-0, 308371/2021-6 and 310123/2020-8) for support. I. B. thanks the Brazilian agencies CNPq (Grant numbers 304148/2018-0 and 409447/2018-8) and Faperj (Grant number E26/201.197/2021) for support.

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