Prediction of Absorption Spectrum Shifts in Dyes Adsorbed on Titania
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Summary
The use of supervised machine learning is explored to predict whether dye adsorption on titania is likely to induce a change in its absorption characteristics and how this affects the performance of dye-sensitized solar cells and optical sensors.
- Type
- article
- Published
- 2019-11-04
- Cited by
- 36
- References
- 111
- Access
- Open access
- OpenAlex
- https://openalex.org/W2987785090
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:208086418
Keywords
Adsorption, Absorption (acoustics), Support vector machine, Materials science, Density functional theory
References
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- Solvents and Solvent Effects in Organic Chemistry
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- Dithienopyrrolobenzotriazole-based organic dyes with high molar extinction coefficient for efficient dye-sensitized solar cells
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- Non-emissive colour filters for fluorescence detection.
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- How not to develop a quantitative structure–activity or structure–property relationship (QSAR/QSPR)
- Julolidine dyes with different acceptors and thiophene-conjugation bridge: Design, synthesis and their application in dye-sensitized solar cells
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- Molecular design and performance of hydroxylpyridium sensitizers for dye-sensitized solar cells.
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- Fluorous Molecules for Dye-Sensitized Solar Cells: Synthesis and Characterization of Fluorene-Bridged Donor/Acceptor Dyes with Bulky Perfluoroalkoxy Substituents
- Mesoscopic titania solar cells with the tris(1,10-phenanthroline)cobalt redox shuttle: uniped versus biped organic dyes
Cited by
- Controlled nanostructured morphology of BiVO4 photoanodes for efficient on-demand catalysis in solar water-splitting and sustainable water-treatment
- An Open Access Data Set Highlighting Aggregation of Dyes on Metal Oxides
- Evaluation of Molecular Fingerprints for Determining Dye Aggregation on Semiconductor Surfaces
- Computational study of antocyanin compounds (Cyanidin and Petunidin) supported on TiO2 for DSSC application potential
- TD-DFT investigations on structural modification in Carbazole based organic Photosensitizers to improve electron injection in DSSC
- The utility of composition-based machine learning models for band gap prediction
- Characterization of the Electrochemical Behavior of MnSO4 with and without TiOSO4 in H2SO4 Solution
- Implication of color of sensitizing dyes on transparency and efficiency of transparent dye-sensitized solar cells
- Phenothiazine and phenoxazine sensitizers for dye-sensitized solar cells – an investigative review of two complete dye classes
- Ru(II) Polypyridyl-Modified TiO2 Nanoparticles for Photocatalytic C–C/C–O Bond Cleavage at Room Temperature
- Enhanced Photocatalytic Alcohol Oxidation at the Interface of RuC-Coated TiO2 Nanorod Arrays.
- Machine learning analysis on performance of naturally-sensitized solar cells
- Role of artificial neural networks in predicting design and efficiency of dye sensitized solar cells
- Will paper microzones become the greenest chemistry method for electrolytic analysis?
- Recent progress in the data-driven discovery of novel photovoltaic materials
- Decision Trees Based Performance Analysis for Influence of Sensitizers Characteristics in Dye-Sensitized Solar Cells
- Machine Learning Analysis on the Performance of Dye-Sensitized Solar Cell—Thermoelectric Generator Hybrid System
- Photophysical, electrochemical and electron donating properties of rhodanine-3-acetic acid-linked structural isomers
- Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater
- Using new solvatochromic parameters to investigate dye–solvent interactions
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