Evaluation of Molecular Fingerprints for Determining Dye Aggregation on Semiconductor Surfaces-Reference-Cited by-同舟云学术

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Evaluation of Molecular Fingerprints for Determining Dye Aggregation on Semiconductor Surfaces

Published:2020-06-17 Issue:1 Volume:41 Page:2000062
ISSN:1868-1743
Container-title:Molecular Informatics
language:en
Short-container-title:Molecular Informatics

Author:

Venkatraman Vishwesh¹^ORCID

Affiliation:

1. Department of Chemistry NTNU Trondheim Norway – 7491

Funder

Norges Forskningsråd

Publisher

Wiley

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,Molecular Medicine,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/minf.202000062

Reference56 articles.

1.

2. Dye-Sensitized Solar Cells

3. Research Progress on Photosensitizers for DSSC

4.

5. Phenothiazine-based dyes for efficient dye-sensitized solar cells

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1. Molecular aggregates of merocyanine 540 with different surfactant systems;Journal of Molecular Liquids;2024-10

2. Optimized Machine learning techniques Enable prediction of organic dyes photophysical Properties: Absorption Wavelengths, emission Wavelengths, and quantum yields;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2024-03

3. Deep-learning-assisted photovoltaic performance prediction of sensitizers in dye-sensitized solar cells;New Journal of Chemistry;2024

4. Optimized Machine Learning Techniques Enable Prediction of Organic Dyes Photophysical Properties: Absorption Wavelengths, Emission Wavelengths, and Quantum Yields;2023

5. Dye-modified halide perovskite materials;Organic Electronics;2022-08

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