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...

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Bibliographic Details
Main Authors: Shun Feng, Juan Wang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/29/2/499