Evidence map›Paper›PMID 41105336›Full record

ArticleJournal of molecular modeling2025

Influence of auxiliary acceptor substitution at D-A1-π-A2 structured highly efficient organic molecules for dye-sensitized solar cells using computational study.

A Arunkumar

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Article in Journal of molecular modeling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

A ArunkumarDepartment of Condensed Matter Physics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, 602 105, India. 90arunkumara@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextThis study used the PTRA-based molecule to design and investigate seven new donor-acceptor1-π-acceptor2 (D-A1-π-A2) organic dyes (PTRA1-PTRA7) for dye-sensitized solar cells (DSSCs). All dyes had an electron-A2 group made of rhodanine-3-acetic acid and a thiophene group as a spacer, while the electron-A1 unit varied from D-A1-π-A2. Optoelectronics was explored in relation to a structure and its influences. For the dyes PTRA1-PTRA7, the computational analysis of density functional theory (DFT) and its extended time-dependent DFT (TD-DFT) approaches was performed. The driving force of electron injection (

methodsFormalisms of the conductor-like polarizable continuum model (CPCM) have been used to study solvent effects. The results of the CPCM/TD-DFT demonstrate that precise absorption energies can only be obtained when the solvent effect is taken into account in the geometries of the excited states. The Gaussian 09w software package is used for related calculations.

Indexed as

D-A1-π-A2DSSCsGaussian 09wOrganic dyePV parametersTD-DFT

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.