Applications of Predictive Modeling for Dye-Sensitized Solar Cells (DSSCs)

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

Dye-sensitized solar Cells (DSSCsDye-sensitized solar cells (DSSCs)) present an innovative alternative to conventional photovoltaic technologies, boasting lower production costs and superior performance in low-light conditions. This chapter investigates the synergistic integration of predictive modelingPredictive modeling techniques with experimental methodologies to optimize the DSSCDye-sensitized solar cells (DSSCs) design and efficiency. The fundamental components of DSSCsDye-sensitized solar cells (DSSCs)—photoanode, dye sensitizerDye sensitizers, electrolyteElectrolytes, and counter electrodeCounter electrodes—are initially examined, along with the associated efficiency and long-term stability challenges. The comprehensive review follows, detailing predictive modelingPredictive modeling techniques, including quantum mechanical modelsQuantum mechanical models, quantitative structure–property relationshipQuantitative structure-activity/property relationship(QSPR)Quantitative Structure Property Relationship (QSPR) and quantitative read-across structure–property relationshipQuantitative structure-activity/property relationship(q-RASPR) Radial symmetry models (q-RASPR)models, molecular dynamicsMolecular Dynamics (MD) simulations simulations, and machine learningMachine learning (ML) approaches. These computational methods are crucial in simulating complex DSSCDye-sensitized solar cells (DSSCs) processes, guiding material selection, and predicting cell behavior under diverse environmental conditions. The chapter emphasizes the advantages of hybrid modelingHybrid modeling approaches, which combine multiple computational methods to enhance prediction accuracy and reduce experimental costs. Case studies illustrate the successful application of these techniques in practical DSSCDye-sensitized solar cells (DSSCs) development. By bridging theoretical predictions with experimental validation, this chapter provides valuable insights into the design of more efficient, stable, and commercially viable DSSCsDye-sensitized solar cells (DSSCs). This integrated approach sets the stage for future advancements in solar energy technologies, potentially accelerating the widespread adoption of DSSCsDye-sensitized solar cells (DSSCs) as a sustainable energy solution.

Original languageEnglish
Title of host publicationChallenges and Advances in Computational Chemistry and Physics
PublisherSpringer Science and Business Media B.V.
Pages167-198
Number of pages32
DOIs
StatePublished - 2025

Publication series

NameChallenges and Advances in Computational Chemistry and Physics
Volume40
ISSN (Print)2542-4491
ISSN (Electronic)2542-4483

Keywords

  • DSSCs
  • Dyes
  • In silico
  • ML
  • PCE
  • QSPR
  • Solar cells

Fingerprint

Dive into the research topics of 'Applications of Predictive Modeling for Dye-Sensitized Solar Cells (DSSCs)'. Together they form a unique fingerprint.

Cite this