Deep Transfer Learning: A Fast and Accurate Tool to Predict the Energy Levels of Donor Molecules for Organic Photovoltaics-Reference-Cited by-同舟云学术

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Deep Transfer Learning: A Fast and Accurate Tool to Predict the Energy Levels of Donor Molecules for Organic Photovoltaics

Published:2022-02-23 Issue:5 Volume:5 Page:2100511
ISSN:2513-0390
Container-title:Advanced Theory and Simulations
language:en
Short-container-title:Advcd Theory and Sims

Author:

Moore Gareth John¹^ORCID,Bardagot Olivier¹^ORCID,Banerji Natalie¹^ORCID

Affiliation:

1. Department of Chemistry Biochemistry and Pharmaceutical Sciences University of Bern Freiestrasse 3 Bern 3012 Switzerland

Publisher

Wiley

Subject

Multidisciplinary,Modeling and Simulation,Numerical Analysis,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.202100511

Reference58 articles.

1. A Tandem Organic Photovoltaic Cell with 19.6% Efficiency Enabled by Light Distribution Control

2. Organic solar cells based on non-fullerene acceptors

3. Achieving Over 15% Efficiency in Organic Photovoltaic Cells via Copolymer Design

4. Achieving over 16% efficiency for single-junction organic solar cells

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Interpretable AI and Machine Learning Classification for Identifying High-Efficiency Donor–Acceptor Pairs in Organic Solar Cells;ACS Omega;2024-07-31

2. High Glass Transition Temperature Fluorinated Polymers Based on Transfer Learning with Small Experimental Data;Macromolecular Rapid Communications;2024-06-18

3. In Silico Chemical Experiments in the Age of AI: From Quantum Chemistry to Machine Learning and Back;Advanced Materials;2024-05-25

4. Machine learning for persistent free radicals in biochar: dual prediction of contents and types using regression and classification models;Carbon Research;2024-04-22

5. Data Cleansing and Sub‐Unit‐Based Molecular Description Enable Accurate Prediction of The Energy Levels of Non‐Fullerene Acceptors Used in Organic Solar Cells;Advanced Science;2024-02-22

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