Papers citing Machine learning for accelerating the discovery of high-performance donor/acceptor pairs in non-fullerene organic solar cells
Combination of Transfer Learning and Chemprop Interpreter with Support of Deep Learning for the Energy Levels of Organic Photovoltaic Materials Prediction and Regulation
ACS Applied Materials & Interfaces · 2024
Cong Nie, Kuo Wang, Haixin Zhou, Jiahao Deng, Ziye Chen, Kang Zhang, Lingjiao Chen, Di Huang, Jiaojiao Liang, Ling Zhao
Read original paper ↗ ·A review of photostability in organic solar cells: from mechanisms to improvement strategies
Journal of Materials Chemistry A · 2025
Yilan Zhai, Yanhong Chang, Ailing Tang, Kun Lü
Read original paper ↗ ·BiBERTa: a self-supervised framework for accelerating the discovery of stable organic photovoltaic materials
Journal of Materials Chemistry A · 2025
Jinyu Sun, Dongxu Li, Jie Zou, Xiaoxiao Tan, Yue Wang, Hailiang Zhang, Yingping Zou, Zhimin Zhang, Hongmei Lü
Read original paper ↗ ·High throughput molecular design of electron donors and non-fullerene acceptors using machine learning combined with substructure importance
Journal of Materials Chemistry C · 2025
Cai‐Rong Zhang, Long-Fei Lv, Ming Li, Xiaomeng Liu, Ji-Jun Gong, Zi‐Jiang Liu, Youzhi Wu, Hong-Shan Chen
Read original paper ↗ ·Molecular design of organic photovoltaic donors and non-fullerene acceptors: a combined machine learning and genetic algorithm approach
Journal of Materials Chemistry C · 2025
Rui Cao, Cai‐Rong Zhang, Xiaomeng Liu, Ji-Jun Gong, Meiling Zhang, Zi‐Jiang Liu, Youzhi Wu, Hong-Shan Chen
Read original paper ↗ ·One more step towards better stability of non-fullerene organic solar cells: advances, challenges, future perspectives, and the Era of artificial intelligence
Energy & Environmental Science · 2025
Nafees Ahmad, Jun Yuan, Yingping Zou
Read original paper ↗ ·State-of-the-art progress on artificial intelligence and machine learning in accessing molecular coordination and adsorption of corrosion inhibitors
Applied Physics Reviews · 2025
Taiwo Wasiu Quadri, Ekemini Daniel Akpan, Saheed Eluwale Elugoke, Lukman Olawale Olasunkanmi, Sheetal, Ashish Kumar Singh, Balaram Pani, Jaya Tuteja, Sudhish Kumar Shukla, Chandrabhan Verma, Hassane Lgaz, Valentine Chikaodili Anadebe, Rakesh Chandra Barik, Lei Guo, Akram M. Alfantazi, Bakang Moses Mothudi, Eno Effiong Ebenso
Read original paper ↗ ·Designing Donors and Nonfullerene Acceptors for Organic Solar Cells Assisted by Machine Learning and Fragment‐Based Molecular Fingerprints
Solar RRL · 2025
Cai‐Rong Zhang, Rui Cao, Xiao‐Meng Liu, Meiling Zhang, Ji-Jun Gong, Zi‐Jiang Liu, Youzhi Wu, Hongshan Chen
Read original paper ↗ ·Development of Organic Semiconductor Materials for Organic Solar Cells via the Integration of Computational Quantum Chemistry and AI-Powered Machine Learning
ACS Applied Energy Materials · 2025
Shafidah Shafian, Fitri Norizatie Mohd Salehin, Sojeong Lee, Azlan B. Ismail, Shuhaida Mohamed Shuhidan, Lin Xie, Kyungkon Kim
Read original paper ↗ ·MADGUI: Multi-Application Design Graphical User Interface for active learning assisted by Bayesian optimization
Chemometrics and Intelligent Laboratory Systems · 2025
BAJAN Christophe Marie Olivier, G. Lambard
Read original paper ↗ ·A Review of Machine Learning in Organic Solar Cells
Processes · 2025
Darya Rasul Ahmed, Fahmi F. Muhammadsharif
Read original paper ↗ ·Revealing the Impact of CZTSe/CdS Interface Fluctuations on PV Device Performance through Big Data Analysis Assisted by Machine Learning Methods
Small Methods · 2025
Jon Garí‐Galíndez, Fabien Atlan, Jacob Andrade‐Arvizu, Robert Fonoll‐Rubio, David Payno, Enric Grau‐Luque, Alejandro Pérez-Rodríguez, Ignacio Becerril‐Romero, Maxim Guc, Víctor Izquierdo‐Roca, Pedro Vidal‐Fuentes
Read original paper ↗ ·Advancing organic photovoltaic cells for a sustainable future: The role of artificial intelligence (AI) and deep learning (DL) in enhancing performance and innovation
Solar Energy · 2025
Hussein Togun, Ali Basem, Muhsin J. Jweeg, Nirmalendu Biswas, Azher M. Abed, Dipankar Paul, Hayder Ibrahim Mohammed, A.K. Chattopadhyay, Bhupendra Kumar Sharma, Tuqa Abdulrazzaq
Read original paper ↗ ·In Situ Raman Spectra and Machine Learning Assistant Thermal Annealing Optimization for Effective Phototransistors
ACS Applied Materials & Interfaces · 2025
Ruisi Fan, Jiuheng Yu, Zengqi Xie, Linlin Liu
Read original paper ↗ ·Advances in the Design and Discovery of Organic Semiconductors Aided by Machine Learning
Annual Review of Materials Research · 2025
Moses Ogbaje, Vinayak Bhat, Chad M. Risko
Read original paper ↗ ·Advancing organic photovoltaic materials by machine learning-driven design with polymer-unit fingerprints
npj Computational Materials · 2025
Xiumin Liu, Xinyue Zhang, Ye Sheng, Zihe Zhang, Pan Xiong, Xue‐Hai Ju, Junwu Zhu, Caichao Ye
Read original paper ↗ ·Active Learning‐Driven Discovery of Donor‐Acceptor Covalent Triazine Frameworks for High‐Performance Photocatalysts
Advanced Functional Materials · 2025
Mingliang Wu, Jinxin Sun, Yu Cui, Linfeng Fan, Kunquan Hong, Wei Liu, Qiang Li, Zhiyang Lyu, Jinlan Wang
Read original paper ↗ ·The two-way street: How AI and clean energy affect each other
Energy Economics · 2025
Jiayi Lyu, Zixuan Gao, Yanfeng Li, Qiang Zhang
Read original paper ↗ ·Advances in molecular materials and devices for intelligent perception applications
Scientia Sinica Chimica · 2025
Yanli Guo, Jingjing Yao, Liyao Liu, Ye Zou, Chong-An Di, Daoben Zhu
Read original paper ↗ ·Computational Modeling of Indoor Organic Photovoltaics: Dataset Curation, Predictive Analysis, and Machine Learning Approaches
Archives of Computational Methods in Engineering · 2025
Hang Yu, Hsu-Yuan Chen, Ganesh Datt Sharma, Yen‐Ju Cheng, Chain‐Shu Hsu, Ta‐Ya Chu, Jianping Lu, Fang‐Chung Chen
Read original paper ↗ ·To be Artificial Intelligence for sustainability or not to be sustainable Artificial Intelligence
Renewable and Sustainable Energy Reviews · 2025
Santi Agatino Rizzo
Read original paper ↗ ·High-Throughput Molecular Design of Donors and Non-Fullerene Acceptors for Organic Solar Cells Based on Convolutional Neural Networks
Journal of Chemical Information and Modeling · 2025
L.T. Chen, Cai‐Rong Zhang, Cuicui Sang, Xiaomeng Liu, Ji-Jun Gong, Meiling Zhang, Hongshan Chen
Read original paper ↗ ·Cu2O hole transport layer optimization for Sb2(S,Se)3 solar cells: combining machine learning prediction with experimental validation
Journal of Physics and Chemistry of Solids · 2025
C.C. Wen, Yi-Cheng Lin
Read original paper ↗ ·Machine learning-assisted prediction of organic solar cell efficiency from device reflectance spectra
Results in Optics · 2025
Fuhao Gao, Jinxin Zhou, Jingfeng Liu, Yubin Lan, Yongbing Long, Haitao Xu
Read original paper ↗ ·Artificial intelligence in renewable energy technologies and sustainable transition
Elsevier eBooks · 2025
Bilal Fareed, Ljubinka Vasić, Farooq Sher, Nicolás M. Clauser, Madjid Soltani, Maria Veronica Sofianos
Read original paper ↗ ·OPECM: A comprehensive dataset for organic polymer energy conversion materials enabling data-driven interpretative analysis
Physical Review Materials · 2025
Xiumin Liu, Xinyue Zhang, Yabei Wu, Xuehai Ju, Caichao Ye, Wenqing Zhang
Read original paper ↗ ·Role of AI in Solar Cell Materials Research: A Review
International Conference on Automation, Computing and Renewable Systems (ICACRS) · 2025
Chethana K, Baishali Garai
Read original paper ↗ ·Ultralow Critical Ratio of Near-Infrared Donors in Ternary Organic Phototransistors for Ultrahigh-Performance Near-Infrared Photodetection
ACS Photonics · 2025
Huijun Liu, Yangyang Zhou, Jiuheng Yu, Chao Xu, Tao Han, Linlin Liu
Read original paper ↗ ·Solid additive engineering for high-efficiency organic solar cells: categories, mechanisms, and perspectives
Journal of Materials Chemistry A · 2025
Wenlong Wu, Shuaikang Ren, Jingyang Xiao, Guichuan Zhang, Yonggang Min
Read original paper ↗ ·A Set of Complementary Descriptors for the Power Conversion Efficiency Predictions of Organic Solar Cells
ACS Applied Energy Materials · 2026
Ningyi Cui, Zhoufa Hu, Xiaopeng Li, Xin Ye, Donghua Liu, Yufan Bao, Jiacheng Ma, Zhengli Zhang, Mingfei Xiao, Tao Zhang, Yecheng Zhou
Read original paper ↗ ·Artificial intelligence in the discovery and design of molecular semiconductors: a systematic review
Digital Discovery · 2026
Malin Zollner, Yashar Moshfeghi, Tahereh Nematiaram
Read original paper ↗ ·Decoding non-fullerene acceptors for organic solar cells: a theoretical structure–property–performance perspective
RSC Advances · 2026
Habib Ul Murtaza, Nimra Sultan, Muhammad Ramzan Saeed Ashraf Janjua
Read original paper ↗ ·Fragment-LEGO strategy toward seven-ring-fused acceptors for organic solar cells
New Journal of Chemistry · 2026
Yuqian Cai, Rui Zhu, Lina Yin, Zhangyuan Wang, Hongguang Liu
Read original paper ↗ ·Organic Photovoltaics Spectral Overlap Prediction Based on Electronic Structure Descriptors and Explainable Machine Learning
International Journal of Photoenergy · 2026
Ayşegül Toprak
Read original paper ↗ ·Structure-guided machine learning for efficiency prediction of organic photovoltaics using experimentally informed molecular descriptors
Digital Discovery · 2026
JuHyun Lee, Hyojin Ban, HyunIl Seo, Hang Ken Lee, Fiza Arshad, Dongwook Kim
Read original paper ↗ ·Towards an artificial intelligence ecosystem for performance-driven polymer design
Polymer Chemistry · 2026
Jie Zhu, Dong Wu, Zhao‐Yan Sun, H. C. Li, Xiayun Huang, Zhihong Nie
Read original paper ↗ ·Predicting power conversion efficiency of dyes in dye-sensitised solar cells
Molecular Physics · 2026
Jiajia Tan, Chunli Xie, Bowen Yang, Jiyong Deng, Xinliang Yu
Read original paper ↗ ·Bowl‐Shaped Conjugated Organic Semiconductors: From Structural Design, Molecular Assembly to Device Applications
Advanced Functional Materials · 2026
Gan Xu, Yang Yang, Qiongyao Chen, Su‐Yuan Xie, Qianyan Zhang
Read original paper ↗ ·Predicting power conversion efficiency in donor-acceptor pairs for organic solar cells using machine learning ensemble models
Journal of Photochemistry and Photobiology A Chemistry · 2026
Kapil Dev Mahato
Read original paper ↗ ·Descriptor Engineering for Machine-Learning-Based Performance Prediction in Organic Solar Cells: A Mini Review
ACS Applied Electronic Materials · 2026
Haibo Mao, Hong Zhang, Yuan Zhang, Cristiano Francisco Woellner, Huiqiong Zhou
Read original paper ↗ ·Development of Machine Learning in Organic Photovoltaic Cells †
Chinese Journal of Chemistry · 2026
Junkai Zhang, Wenye Xu, Shiwei Yang, Yong Cui
Read original paper ↗ ·Navigating high-dimensional processing parameters in organic photovoltaics via a multitier machine learning framework
Science Advances · 2026
Yaping Wen, Yipu Zhang, Haibo Ma
Read original paper ↗ ·Multi-objective AI-driven optimization guides the discovery of high-performance organic photovoltaics
Research Square · 2026
Feiyue Lu, Kang An, Qin Wang, Zhipeng Yin, Xinhui Liu, Jialin Wu, Xingwang Kang, Hongyu Zhang, Xin Zhang, Wei Meng, Lei Ying, Liang Gao, Jiaping Lin, Na Li
Read original paper ↗ ·Achieving higher efficiency in solar panels using gold nanosphere arrays in structure of Grated CdS and advanced interfacial layers
Results in Optics · 2026
Sasan Kianjo, Amir Saman Nooramin
Read original paper ↗ ·Expert systems for predicting the efficiencies of photomultiplication organic photodetectors
Expert Systems with Applications · 2026
Tzu-Hsin Li, Hung-Nien Yu, Cheng-Hsun Cheng, Yen-Ju Cheng, Chain‐Shu Hsu, Ta‐Ya Chu, Jianping Lu, Yi‐Ming Chang, Fang‐Chung Chen
Read original paper ↗ ·Toward autonomous discovery in small-molecule organic photovoltaics: A review integrating artificial intelligence and machine learning within the molecular design landscape
Organic Electronics · 2026
Sania Ismaeel, Sidra Manzoor, Muhammad Zohaib Sabir
Read original paper ↗ ·Concurrent Optimization of Device Architecture, Transport Layers, and Active Layer for Organic Photovoltaics by Machine Learning
The Journal of Physical Chemistry Letters · 2026
Yipu Zhang, Haibo Ma, Yaping Wen
Read original paper ↗ ·Machine Learning in Non-fullerene Organic Solar Cells: Accelerating Discovery, Design, and Understanding
ACS Omega · 2026
Bibhas Das, Anirban Mondal
Read original paper ↗ ·Reconstructing Solar Materials Innovation Through Data Science: A Review of Opportunities and Structural Bottlenecks
Energy Technology · 2026
Khadijah Mohammedsaleh Katubi, Sumaira Naeem, Norah Alomayrah, Mohammed Sultan Al-Buriahi
Read original paper ↗ ·Modeling Multilevel Donor–Acceptor Interactions for Device‐Level Efficiency Prediction in Organic Solar Cells
Solar RRL · 2026
Ting Zhang, Wentao Hu, Yanjie Sun, Chen Zhang, Fei Huang, He Yan
Read original paper ↗ ·