Comprehensive review of advances in machine-learning-driven optimization and characterization of perovskite materials for photovoltaic devices
Authors:
- Bonghyun JoBJBonghyun Jo
- Wenning ChenWCWenning Chen
- Hyun Suk JungHJHyun Suk Jung
- 2 October 2024
- journal article
- review article
- Published by Elsevier in Journal of Energy Chemistry
- Vol. 101, 298-323
Abstract
No abstract availableKeywords
Funding Information
- Korea Ministry of Science and ICT
- National Research Foundation of Korea
This publication has 138 references indexed in Scilit:
- Perovskites informatics: Studying the impact of thicknesses, doping, and defects on the perovskite solar cell efficiency using a machine learning algorithmInternational Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2023
- Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm FusionAdvanced Materials, 2023
- A machine learning q‐RASPR approach for efficient predictions of the specific surface area of perovskites**Molecular Informatics, 2023
- A Machine Learning‐Assisted Approach to a Rapid and Reliable Screening for Mechanically Stable Perovskite‐Based MaterialsAdvanced Functional Materials, 2022
- Challenges, Opportunities, and Prospects in Metal Halide Perovskites from Theoretical and Machine Learning PerspectivesAdvanced Energy Materials, 2022
- Perovskite or Not Perovskite? A Deep‐Learning Approach to Automatically Identify New Hybrid Perovskites from X‐ray Diffraction PatternsAdvanced Materials, 2022
- A Machine Learning Approach for Metal Oxide Based Polymer Composites as Charge Selective Layers in Perovskite Solar CellsChempluschem, 2021
- Exploration of Electrochemical Reactions at Organic–Inorganic Halide Perovskite Interfaces via Machine Learning in In Situ Time‐of‐Flight Secondary Ion Mass SpectrometryAdvanced Functional Materials, 2020
- Investigating the Effects of Chemical Gradients on Performance and Reliability within Perovskite Solar Cells with TOF‐SIMSAdvanced Energy Materials, 2020
- Hybrid Halide Perovskites: Discussions on Terminology and MaterialsAngewandte Chemie, 2019