Papers citing Discovery of Novel Two-Dimensional Photovoltaic Materials Accelerated by Machine Learning
Machine learning 5d-level centroid shift of Ce3+ inorganic phosphors
Journal of Applied Physics · 2020
Ya Zhuo, Shruti Hariyani, Shihai You, P. Dorenbos, Jakoah Brgoch
Read original paper ↗ ·An artificial intelligence-aided virtual screening recipe for two-dimensional materials discovery
npj Computational Materials · 2020
Murat Cihan Sorkun, Séverin Astruc, J. M. V. A. Koelman, Süleyman Er
Read original paper ↗ ·How Machine Learning Accelerates the Development of Quantum Dots? †
Chinese Journal of Chemistry · 2020
Jia Peng, Muhammad Asif Ramzan, Shuliang Wang, Haizheng Zhong
Read original paper ↗ ·Element Code from Pseudopotential as Efficient Descriptors for a Machine Learning Model to Explore Potential Lead-Free Halide Perovskites
The Journal of Physical Chemistry Letters · 2020
Meng‐Huan Jao, Shun‐Hsiang Chan, Ming‐Chung Wu, Chao‐Sung Lai
Read original paper ↗ ·Machine learning for advanced energy materials
Energy and AI · 2021
Liu Yun, Oladapo Christopher Esan, Zhefei Pan, Liang An
Read original paper ↗ ·The capabilities of nanoelectronic 2-D materials for bio-inspired computing and drug delivery indicate their significance in modern drug design
Life Sciences · 2021
Parichehr Hassanzadeh
Read original paper ↗ ·Machine Learning Boosts the Design and Discovery of Nanomaterials
ACS Sustainable Chemistry & Engineering · 2021
Yuying Jia, Xuan Hou, Zhongwei Wang, Xiangang Hu
Read original paper ↗ ·On the Technologies of Artificial Intelligence and Machine Learning for 2D Materials
Journal of Surface Investigation X-ray Synchrotron and Neutron Techniques · 2021
Daria Yu. Kirsanova, Mikhail A. Soldatov, Zaira M. Gadzhimagomedova, Danil M. Pashkov, Andrey V. Chernov, Maria A. Butakova, Alexander V. Soldatov
Read original paper ↗ ·The data-intensive scientific revolution occurring where two-dimensional materials meet machine learning
Cell Reports Physical Science · 2021
Hang Yin, Zhehao Sun, Zhuo Wang, Dawei Tang, Cheng Heng Pang, Xue‐Feng Yu, Amanda Susan Barnard, Haitao Zhao, Zongyou Yin
Read original paper ↗ ·Catalyze Materials Science with Machine Learning
ACS Materials Letters · 2021
Jaehyun Kim, Donghoon Kang, Sang‐Bum Kim, Ho Won Jang
Read original paper ↗ ·Predicting the Formability of Hybrid Organic–Inorganic Perovskites via an Interpretable Machine Learning Strategy
The Journal of Physical Chemistry Letters · 2021
Shilin Zhang, Tian Lu, Pengcheng Xu, Qiuling Tao, Minjie Li, Wencong Lu
Read original paper ↗ ·Bandgap prediction of two-dimensional materials using machine learning
PLoS ONE · 2021
Yu Zhang, Wenjing Xu, Guangjie Liu, Zhiyong Zhang, Jinlong Zhu, Meng Li
Read original paper ↗ ·Applied Machine Learning for Developing Next‐Generation Functional Materials
Advanced Functional Materials · 2021
Filip Dinic, Kamalpreet Singh, Tony Dong, Milad Rezazadeh, Zhibo Wang, Ali Khosrozadeh, Tiange Yuan, Oleksandr Voznyy
Read original paper ↗ ·Study of the Relationship between Synthesis Descriptors and the Type of Zeolite Phase Formed in ZSM‐43 Synthesis by Using Machine Learning
ChemistrySelect · 2021
Ganesan Raman
Read original paper ↗ ·Accurate bandgap predictions of solids assisted by machine learning
Materials Today Communications · 2021
Tao Wang, Xiaoxing Tan, Yadong Wei, Hao Jin
Read original paper ↗ ·Recent progress in the data-driven discovery of novel photovoltaic materials
Journal of Materials Informatics · 2022
Lu Tian, Minjie Li, Wencong Lu, Tong‐Yi Zhang
Read original paper ↗ ·Understanding, discovery, and synthesis of 2D materials enabled by machine learning
Chemical Society Reviews · 2022
Byunghoon Ryu, Luqing Wang, Haihui Pu, Maria K. Y. Chan, Junhong Chen
Read original paper ↗ ·Unveiling the layer-dependent electronic properties in transition-metal dichalcogenide heterostructures assisted by machine learning
Nanoscale · 2022
Tao Wang, Xiaoxing Tan, Yadong Wei, Hao Jin
Read original paper ↗ ·Efficiency and Stability Analysis of 2D/3D Perovskite Solar Cells Using Machine Learning
Energy Technology · 2022
Beyza Yılmaz, Çağla Odabaşı, Ramazan Yıldırım
Read original paper ↗ ·Machine learning accelerated calculation and design of electrocatalysts for CO2 reduction
SmartMat · 2022
Zhehao Sun, Hang Yin, Kaili Liu, Shuwen Cheng, Gang Kevin Li, Sibudjing Kawi, Haitao Zhao, Guohua Jia, Zongyou Yin
Read original paper ↗ ·Data‐Driven Materials Innovation and Applications
Advanced Materials · 2022
Zhuo Wang, Zhehao Sun, Hang Yin, Xinghui Liu, Jinlan Wang, Haitao Zhao, Cheng Heng Pang, Tao Wu, Shuzhou Li, Zongyou Yin, Xue‐Feng Yu
Read original paper ↗ ·Discovery of Two-Dimensional Multinary Component Photocatalysts Accelerated by Machine Learning
The Journal of Physical Chemistry Letters · 2022
Hao Jin, Xiaoxing Tan, Tao Wang, Yunjin Yu, Yadong Wei
Read original paper ↗ ·Applications of machine learning in perovskite materials
Advanced Composites and Hybrid Materials · 2022
Ziman Wang, Ming Yang, Xixi Xie, Chenyang Yu, Qinglong Jiang, Mina Huang, Hassan Algadi, Zhanhu Guo, Hang Zhang
Read original paper ↗ ·Machine-learning accelerated identification of exfoliable two-dimensional materials
Machine Learning Science and Technology · 2022
Mohammad Tohidi Vahdat, Kumar Varoon Agrawal, Giovanni Pizzi
Read original paper ↗ ·Solar cells based on 2D Janus group-III chalcogenide van der Waals heterostructures
Nanoscale · 2023
M. Bikerouin, O. Chdil, Mohamed Balli
Read original paper ↗ ·The Application of Novel Functional Materials to Machine Learning
Springer eBooks · 2023
Humaira Rashid Khan, Fahd Sikandar Khan, Javeed Akhtar
Read original paper ↗ ·Recent developments in 2D materials for energy harvesting applications
Journal of Physics Energy · 2023
Gaurav Khandelwal, Swati Deswal, Dhayalan Shakthivel, Ravinder Dahiya
Read original paper ↗ ·Efficient discovery of room temperature magnetic transition metal monolayers assisted by artificial neural network
Computational Materials Science · 2023
A. Nayamadi Mahmoodabadi, Mohsen Modarresi, Mahmood Rezaee Roknabadi, A. Mogulkoc
Read original paper ↗ ·Accurate prediction of semiconductor bandgaps based on machine learning and prediction of bandgaps for two-dimensional heterojunctions
Materials Today Communications · 2023
Hang Liu, Liang Xu, Zongle Ma, Zhengquan Li, Haotian Li, Ying Zhang, Bo Zhang, Lingling Wang
Read original paper ↗ ·Interpretable machine learning assisted multi-objective optimization design for small molecule hole transport materials
Journal of Alloys and Compounds · 2023
Xian Zhou, Zhichun Zheng, Tian Lu, Tian Lu, Pengcheng Xu, Ting Chang, Minjie Li, Wencong Lu
Read original paper ↗ ·Quantum Machine Learning in Materials Prediction: A Case Study on ABO3 Perovskite Structures
The Journal of Physical Chemistry Letters · 2023
Mosayeb Naseri, Sergey Gusarov, Dennis Russell Salahub
Read original paper ↗ ·Advancements in High‐Throughput Screening and Machine Learning Design for 2D Ferromagnetism: A Comprehensive Review
Advanced Theory and Simulations · 2023
Chao Xin, Bingqian Song, Guangyong Jin, Yongli Song, Feng Ming Pan
Read original paper ↗ ·Phyllosilicates as earth-abundant layered materials for electronics and optoelectronics: Prospects and challenges in their ultrathin limit
Journal of Applied Physics · 2023
Ingrid D. Barcelos, Raphaela de Oliveira, Gabriel Ravanhani Schleder, Matheus J. S. Matos, Raphael Longuinhos, Jenaina Ribeiro‐Soares, Ana Paula Moreira Barboza, Mariana C. Prado, Elisângela Silva Pinto, Y. Galvão Gobato, Hélio Chacham, Bernardo R. A. Neves, Alisson Ronieri Cadore
Read original paper ↗ ·From prediction to design: Recent advances in machine learning for the study of 2D materials
Nano Energy · 2023
Hua He, Yuhua Wang, Yajuan Qi, Zichao Xu, Yue Li, Yumei Wang
Read original paper ↗ ·Machine learning for carbon dot synthesis and applications
Materials Advances · 2024
Ali Nabi Duman, Almaz S. Jalilov
Read original paper ↗ ·When Machine Learning Meets 2D Materials: A Review
Advanced Science · 2024
Bin Lu, Yuze Xia, Yuqian Ren, Xie Miaomiao, Liguo Zhou, Giovanni Vinai, Simon A. Morton, Andrew T. S. Wee, Wilfred G. van der Wiel, Wen Zhang, Ping Kwan Johnny Wong
Read original paper ↗ ·Enhancing interpretability in the exploration of high-energy conversion efficiency in CsSnBr3−xIx configurations using crystal graph convolutional neural networks and adversarial example methods
Science China Materials · 2024
Tao Wang, Xiaolong Lai, Yadong Wei, Hong Guo, Hao Jin
Read original paper ↗ ·ML-Aided Computational Screening of 2D Materials for Photocatalytic Water Splitting
The Journal of Physical Chemistry Letters · 2024
Yatong Wang, Murat Cihan Sorkun, Geert Brocks, Süleyman Er
Read original paper ↗ ·Construction and application of materials database under data-driven research paradigm
Chinese Science Bulletin (Chinese Version) · 2024
Junjie Feng, Kun Zhou, Muchen Li, Xinjiang Wang, Lijun Zhang
Read original paper ↗ ·Interpretable machine learning for stability and electronic structure prediction of Janus III–VI van der Waals heterostructures
Materials Genome Engineering Advances · 2024
Yudong Shi, Yinggan Zhang, Jiansen Wen, Zhou Cui, Jianhui Chen, Xiaochun Huang, Cuilian Wen, Baisheng Sa, Zhimei Sun
Read original paper ↗ ·Artificial intelligence-driven revolution in nanozyme design: from serendipity to rational engineering
Materials Horizons · 2025
Yixin Yu, Mingzhen Zhang, Kelong Fan
Read original paper ↗ ·Integrating artificial intelligence in energy transition: A comprehensive review
Energy Strategy Reviews · 2025
Qiang Wang, Yuanfan Li, Rongrong Li
Read original paper ↗ ·Application of Machine Learning in Nano Research — A Review
Nano LIFE · 2025
Fatema Tuz Zohura, Mariam Akter Mimona, Md Mir Shakib Ahmed, Md Israfil Hossain Rimon, Md. Aminul Islam, Nayem Hossain, Md Hosne Mobarak
Read original paper ↗ ·Machine learning-enabled optoelectronic material discovery: a comprehensive review
Journal of Materials Informatics · 2025
Yu Shu, Naihua Miao, Rize Li, Yucheng Lin, Siyu Han, Jian Xin Zhou, Zhimei Sun
Read original paper ↗ ·Explainable Artificial Intelligence Driven Methodology for Accelerated Research of Complex Systems: Case Study of Thin‐Film Photovoltaic Kesterite‐Based Technology
Advanced Energy Materials · 2025
Jon Garí‐Galíndez, Robert Fonoll‐Rubio, Jacob Andrade‐Arvizu, Wolfram Witte, Alejandro Pérez-Rodríguez, Stefan Paetel, Pedro Vidal‐Fuentes, Maxim Guc, Víctor Izquierdo‐Roca
Read original paper ↗ ·Distributed chemical sensing: An unexplored frontier in urban, industrial, and environmental monitoring
The Leading Edge · 2025
Christian Totland, T. Dylan Mikesell, Peter James Thomas
Read original paper ↗ ·Explainable artificial intelligence relates perovskite luminescence images to current-voltage metrics
Energy and AI · 2025
Andrew Glaws, Jackson Schall, Andrew Ballen, Amy E. Louks, Kristopher Olan Davis, Axel F. Palmstrom, Juliette Ugirumurera, Dana B. Kern
Read original paper ↗ ·Designing AI-powered user-centric platforms for energy consumption and carbon footprint reduction
Sustainable Chemistry One World · 2025
Daniel Chwaifo Malann, Ayomide Titus Ogungbemi, Great Iruoghene Edo, Ali B.M. Ali, Agatha Ngukuran Jikah, Emad Yousif, Francis Uwadia, Ufuoma Augustina Igbuku, Ephraim Evi Alex Oghroro, Arthur Efeoghene Athan Essaghah, Dina S. Ahmed, Maryam Rabiu Aliyu, Huzaifa Umar, Ahmed A. Alamiery
Read original paper ↗ ·Machine learning for renewable energy advancements: Prospects and emerging techniques
Energy Reports · 2026
Safiullah Khan, Juhi Jannat Mim, Jannatul Ferdous Shorna, Al Mahmud Hasan, Hasibur Rahman Tarek, Md. Aminul Islam, Nayem Hossain
Read original paper ↗ ·Exploring the Pareto front of strength-conductivity trade-off: interpretable machine learning for property prediction and composition design in high-strength high-conductivity Cu alloys
Journal of Materials Informatics · 2026
Chenggang Wu, Mingqing Liao, Xinyi Yedda Zhou, Jinwei Chen, Xiangrui Qian, Yuehua Wang, Fei Zhou, Fengjiang Wang
Read original paper ↗ ·