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Accelerating Perovskite Solar Cells Development with Machine Learning: Optimizing Efficiency Through Modeling and Shap Analysis

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inferredcites →https://doi.org/10.1002/adma.202110356openalex-snapshot
Steric Engineering Enables Efficient and Photostable Wide‐Bandgap Perovskites for All‐Perovskite Tandem Solar Cells
inferredcites →https://doi.org/10.1002/aenm.201901891openalex-snapshot
Predictions and Strategies Learned from Machine Learning to Develop High‐Performing Perovskite Solar Cells
inferredcites →https://doi.org/10.1007/s11467-023-1325-zopenalex-snapshot
Advances of machine learning in materials science: Ideas and techniques
inferredcites →https://doi.org/10.1016/j.apsadv.2023.100523openalex-snapshot
Scope of machine learning in materials research—A review
inferredcites →https://doi.org/10.1016/j.asoc.2019.105524openalex-snapshot
Investigating the impact of data normalization on classification performance
inferredcites →https://doi.org/10.1016/j.jallcom.2020.157396openalex-snapshot
Improved perovskite crystallization via antisolvent-assisted processed using additive engineering for efficient perovskite solar cells
inferredcites →https://doi.org/10.1016/j.jallcom.2023.170824openalex-snapshot
The role of machine learning in perovskite solar cell research
inferredcites →https://doi.org/10.1016/j.jechem.2024.11.024openalex-snapshot
Functional design and understanding of effective additives for achieving high-quality perovskite films and passivating surface defects
inferredcites →https://doi.org/10.1016/j.joule.2022.03.003openalex-snapshot
Machine learning with knowledge constraints for process optimization of open-air perovskite solar cell manufacturing
inferredcites →https://doi.org/10.1016/j.solmat.2024.112826openalex-snapshot
Interpretable machine learning predictions for efficient perovskite solar cell development
inferredcites →https://doi.org/10.1021/acsenergylett.0c00164openalex-snapshot
Forecasting the Decay of Hybrid Perovskite Performance Using Optical Transmittance or Reflected Dark-Field Imaging
inferredcites →https://doi.org/10.1021/ja809598ropenalex-snapshot
Organometal Halide Perovskites as Visible-Light Sensitizers for Photovoltaic Cells
inferredcites →https://doi.org/10.1021/jacs.4c14955openalex-snapshot
An Intermediate-Aided Perovskite Phase Purification for High-Performance Solar Cells
inferredcites →https://doi.org/10.1038/s41377-024-01461-xopenalex-snapshot
Achievements, challenges, and future prospects for industrialization of perovskite solar cells
inferredcites →https://doi.org/10.1038/s41467-017-02039-5openalex-snapshot
Thin single crystal perovskite solar cells to harvest below-bandgap light absorption
inferredcites →https://doi.org/10.1038/s41467-021-22049-8openalex-snapshot
A general approach to high-efficiency perovskite solar cells by any antisolvent
inferredcites →https://doi.org/10.1038/s41467-024-53344-9openalex-snapshot
Efficient wide-bandgap perovskite photovoltaics with homogeneous halogen-phase distribution
inferredcites →https://doi.org/10.1038/s41560-021-00941-3openalex-snapshot
An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles
inferredcites →https://doi.org/10.1038/s41586-023-06278-zopenalex-snapshot
All-perovskite tandem solar cells with 3D/3D bilayer perovskite heterojunction
inferredcites →https://doi.org/10.1038/s41586-024-08158-6openalex-snapshot
Homogenized contact in all-perovskite tandems using tailored 2D perovskite
inferredcites →https://doi.org/10.1038/s41586-024-08160-yopenalex-snapshot
Isomeric diammonium passivation for perovskite–organic tandem solar cells
inferredcites →https://doi.org/10.1038/s43246-022-00281-zopenalex-snapshot
Degradation pathways in perovskite solar cells and how to meet international standards
inferredcites →https://doi.org/10.1038/s43246-022-00325-4openalex-snapshot
Next-generation applications for integrated perovskite solar cells
inferredcites →https://doi.org/10.1039/d3ee03638copenalex-snapshot
All-perovskite tandem solar cells: from fundamentals to technological progress
inferredcites →https://doi.org/10.1063/1.1736034openalex-snapshot
Detailed Balance Limit of Efficiency of p-n Junction Solar Cells
inferredcites →https://doi.org/10.1088/2752-5724/ad37cfopenalex-snapshot
The issues on the commercialization of perovskite solar cells
inferredcites →https://doi.org/10.1126/science.ads0901openalex-snapshot
Inverse design workflow discovers hole-transport materials tailored for perovskite solar cells
inferredcites →https://doi.org/10.1186/1471-2105-10-213openalex-snapshot
A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data
inferredcites →https://doi.org/10.1213/ane.0000000000002864openalex-snapshot
Correlation Coefficients: Appropriate Use and Interpretation
inferredcites →https://doi.org/10.14569/ijacsa.2021.0120670openalex-snapshot
Classification Model Evaluation Metrics
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
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