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Automated assessment of redox potentials for dyes in dye-sensitized photoelectrochemical cells

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Sustainable solutions for hydrogen production, such as dye-sensitized photoelectrochemical cells (DS-PEC), rely on the fundamental properties of its components whose modularity allows for their separate investigation. In this work, we design and execute a high-throughput scheme to tune the ground state oxidation potential (GSOP) of perylene-type dyes by functionalizing them with different ligands. This allows us to identify promising candidates which can then be used to improve the cell's efficiency. First, we investigate the accuracy of different theoretical approaches by benchmarking them against experimentally determined GSOPs. We test different methods to calculate the vertical oxidation potential, includingGWwith different levels of self-consistency, Kohn-Sham (KS) orbital energies and total energy differences. We find that there is little difference in the performance of these methods. However, we show that it is crucial to take into account solvent effects as well as the structural relaxation of the dye after oxidation. Other thermodynamic contributions are negligible. Based on this benchmark, we decide on an optimal strategy, balancing computational cost and accuracy, to screen more than 1000 dyes and identify promising candidates which could be used to construct more robust DS-PECs.

Original languageEnglish
Pages (from-to)197-210
Number of pages14
JournalPhysical Chemistry Chemical Physics
Volume24
Issue number1
Early online date1 Dec 2021
DOIs
Publication statusPublished - 7 Jan 2022

Bibliographical note

Funding Information:
This research has been financially supported by the NWO Solar to Products program (project number 733.000.007). AF acknowledges funding from the Netherlands Organisation for Scientific Research (NWO) in the framework of the Innovation Fund for Chemistry and from the Ministry of Economic Affairs in the framework of the TKI/PPS-Toeslagregeling. We acknowledge the use of supercomputer facilities at SURFsara sponsored by NWO Physical Sciences, with financial support from The Netherlands Organization for Scientific Research (NWO).

Publisher Copyright:
© the Owner Societies 2021.

Funding

This research has been financially supported by the NWO Solar to Products program (project number 733.000.007). AF acknowledges funding from the Netherlands Organisation for Scientific Research (NWO) in the framework of the Innovation Fund for Chemistry and from the Ministry of Economic Affairs in the framework of the TKI/PPS-Toeslagregeling. We acknowledge the use of supercomputer facilities at SURFsara sponsored by NWO Physical Sciences, with financial support from The Netherlands Organization for Scientific Research (NWO).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 14 - Life Below Water
    SDG 14 Life Below Water

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