Advancements in ruthenium-based sensitizers for dye-sensitized solar cells-from structural tailoring to AI-ML
S Mahalakshmi - Coordination Chemistry Reviews, 2025 - Elsevier
The global focus on sustainable energy sources has intensified amidst concerns over
environmental degradation caused by fossil fuel consumption. Solar energy stands out as a …
environmental degradation caused by fossil fuel consumption. Solar energy stands out as a …
Data‐Driven Tunnel Oxide Passivated Contact Solar Cell Performance Analysis Using Machine Learning
J Zhou, TJ Jacobsson, Z Wang, Q Huang… - Advanced …, 2024 - Wiley Online Library
Tunnel oxide passivated contacts (TOPCon) have gained interest as a way to increase the
energy conversion efficiency of silicon solar cells, and the International Technology …
energy conversion efficiency of silicon solar cells, and the International Technology …
Stokes shift prediction of fluorescent organic dyes using machine learning based hybrid cascade models
Fluorescent organic dyes are widely used in various fields, including science and
technology, research and development, medicine, and drug delivery. Multitudinous attempts …
technology, research and development, medicine, and drug delivery. Multitudinous attempts …
[HTML][HTML] Artificial neural networks for predicting optical conversion efficiency in luminescent solar concentrators
Develo** light-harvesting materials able to shape the sunlight to cope with the absorption
region of photovoltaic (PV) cells presents an opportunity for the utilization of spectral …
region of photovoltaic (PV) cells presents an opportunity for the utilization of spectral …
Optimized machine learning techniques enable prediction of organic dyes photophysical properties: Absorption wavelengths, emission wavelengths, and quantum …
Applications of organic dyes, ranging from basic research to industry, are functions of their
photophysical properties. Two important aspects—(1) knowledge of the photophysical …
photophysical properties. Two important aspects—(1) knowledge of the photophysical …
Advanced High‐Throughput Rational Design of Porphyrin‐Sensitized Solar Cells Using Interpretable Machine Learning
JM Liao, YH Chen, HW Lee, BC Guo, PC Su… - Advanced …, 2024 - Wiley Online Library
Accurately predicting the power conversion efficiency (PCE) in dye‐sensitized solar cells
(DSSCs) represents a crucial challenge, one that is pivotal for the high throughput rational …
(DSSCs) represents a crucial challenge, one that is pivotal for the high throughput rational …
Predictive Modeling and SHAP (SHapley Additive ExPlanations) Analysis for Enhancing Natural Dye‐Sensitized Solar Cell Performance
Achieving high power conversion efficiency (PCE) in natural dye‐sensitized solar cells
remains a challenge. To better understand such challenges and explore potential solutions …
remains a challenge. To better understand such challenges and explore potential solutions …
Numerical modeling of charge transfer and recombination kinetics in the dye-sensitized solar cell: Conceptual integration of optics, electricity, and electrochemistry
Enhancing the performance of dye-sensitized solar cells (DSSCs) requires thoroughly
examining their operational dynamics. Modeling is a cost-effective and flexible method for in …
examining their operational dynamics. Modeling is a cost-effective and flexible method for in …
Testing the performance of dye sensitized solar cells under various temperature and humidity environments
Temperature and humidity are the two vital outdoor factors that significantly affect the dye
sensitized solar cells (DSSCs) efficiency. The complete performance of DSSCs depends on …
sensitized solar cells (DSSCs) efficiency. The complete performance of DSSCs depends on …
[HTML][HTML] Machine learning based hybrid ensemble models for prediction of organic dyes photophysical properties: Absorption wavelengths, emission wavelengths …
Fluorescent organic dyes are extensively used in the design and discovery of new materials,
photovoltaic cells, light sensors, imaging applications, medicinal chemistry, drug design …
photovoltaic cells, light sensors, imaging applications, medicinal chemistry, drug design …