Prediction of Organic–Inorganic Hybrid Perovskite Band Gap by Multiple Machine Learning Algorithms
As an indicator of the optical characteristics of perovskite materials, the band gap is a crucial parameter that impacts the functionality of a wide range of optoelectronic devices. Obtaining the band gap of a material via a labor-intensive, time-consuming, and inefficient high-throughput calculatio...
Main Authors: | Shun Feng, Juan Wang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
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Series: | Molecules |
Subjects: | |
Online Access: | https://www.mdpi.com/1420-3049/29/2/499 |
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