Prediction and Screening of Lead-Free Double Perovskite Photovoltaic Materials Based on Machine Lear...
Prediction and Screening of Lead-Free Double Perovskite Photovoltaic Materials Based on Machine Learning
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Switzerland: MDPI AG
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English
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Switzerland: MDPI AG
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The search for stable, lead-free perovskite materials is critical for developing efficient and environmentally friendly energy solutions. In this study, machine learning methods were applied to predict the bandgap and formation energy of double perovskites, aiming to identify promising photovoltaic candidates. A dataset of 1053 double perovskites w...
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Prediction and Screening of Lead-Free Double Perovskite Photovoltaic Materials Based on Machine Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_9d261dcbe1004bf4b90139e2818176ea
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9d261dcbe1004bf4b90139e2818176ea
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ISSN
1420-3049
E-ISSN
1420-3049
DOI
10.3390/molecules30112378
