Papers citing Machine learning-guided synthesis of advanced inorganic materials
AI-Driven Inverse Design of Materials: Past, Present, and Future
Chinese Physics Letters · 2025
Xu Han, Xin-De Wang, Meng-Yuan 孟圆 Xu 徐, Feng Zhen, Bo-Wen 博文 Yao 姚, Peng-Jie Guo, Ze-Feng Gao, Zhong-Yi Lu
Read original paper ↗ ·Optimization and Interpretability Analysis of Machine Learning Methods for ZnO Colloid Particle Size Prediction
ACS Applied Nano Materials · 2025
Lin Fan, Honglei Yu, Yan Gang He, Jinyuan Guo, Guangjun Min, Juan Wang
Read original paper ↗ ·How to accelerate the inorganic materials synthesis: from computational guidelines to data-driven method?
National Science Review · 2025
Yilei Wu, Xiangyang Li, Rong Guo, Rui Xu, Ming‐Gang Ju, Jinlan Wang
Read original paper ↗ ·Bayesian Optimization with Active Constraint Learning for Advanced Manufacturing Process Design
IISE Transactions · 2025
Guoyan Li, Yujia Wang, Swastik Kar, Xiaoning Jin
Read original paper ↗ ·Realization and Inverse Design of Multifunctional Steerable Transflective Linear-to-Circular Polarization Converter Empowered by Machine Learning
Electronics · 2025
Yilin Xie, Jia Liu, Cheng Chen, Zhihao Li, Shilei Tian, Jixin Wang, Wu Yun Zhao, Johan H. Stiens
Read original paper ↗ ·Enhancing energy materials with data-driven methods: A roadmap to long-term hydrogen energy sustainability using machine learning
International Journal of Hydrogen Energy · 2025
Cheng Li, Jianjun Ma, Des Gibson, Yijun Yan, Muhammad Shahzad Haroon, Mehak Bi Bi
Read original paper ↗ ·Local reaction condition optimization via machine learning
Journal of Molecular Modeling · 2025
Wenhuan Song, Honggang Sun
Read original paper ↗ ·Machine Learning-Assisted Optical Characterization and Growth Modulation of Two-Dimensional Materials
Chemistry · 2025
Zhihong Jewel Hu, Jiayi Liu, Xuefei Li, Zongyu Huang, Xiang Qi, Wenjuan Du
Read original paper ↗ ·Machine learning of hardness and composition in Al–Co–Cr–Fe–Ni–Mo–Ti high-entropy alloys
Materials Chemistry and Physics · 2025
Fengmei Bai, Yeyu Huang, Jiale Wang, Hongwei Zhou, Xueting Wu, Hailian Wei, Chaojie Zhang, Peter Kaehuei Liaw
Read original paper ↗ ·Hierarchical attention-based framework for enhanced prediction and optimization of organic and inorganic material synthesis
Advanced Engineering Informatics · 2025
Muhammad Munsif, Altaf Hussain, Zulfiqar Ahmad Khan, Min Je Kim, Sung Wook Baik
Read original paper ↗ ·Statistical and artificial intelligence approaches towards the optimization of thermoelectric materials synthesis: a review
Energy Materials · 2025
Wei‐Hsin Chen, K. Aishwarya, Kripasindhu Sardar
Read original paper ↗ ·Artificial Intelligence‐Driven Approaches in Semiconductor Research
Advanced Materials · 2025
Yanping Zheng, Hao Xu, Zhexin Li, Linlin Li, Yongchao Yu, Pengfei Jiang, Yanmeng Shi, Jing Zhang, Yuqing Huang, Qing Luo, Zheng Lou, Lili Wang
Read original paper ↗ ·Developing machine learning for heterogeneous catalysis with experimental and computational data
Nature Reviews Chemistry · 2025
Carlota Bozal‐Ginesta, Sergio Pablo‐García, Changhyeok Choi, Albert Tarancón, Alán Aspuru‐Guzik
Read original paper ↗ ·A Holistic Integration of Machine Learning for Selecting Optimum Ratio of Nanoparticles in Epoxy-Based Nanocomposite Insulators
Processes · 2025
Abubakar Siddique, Muhammad Usama Shahid, Laraib Akram, Waseem Aslam, Kholod D. Alsufiani
Read original paper ↗ ·Statistics in enabling 2D materials: Optimization, predictive modelling, and data-driven discovery
Materials Today Physics · 2025
Johnson Kehinde Abifarin, Yuerui Lu
Read original paper ↗ ·From Algorithms to Applications: A Comprehensive Review of Machine Learning in Computational Materials Science
Archives of Computational Methods in Engineering · 2025
Yanbing Guo, Yongheng Wang, Wang Zhang, Zhikang Shen, Li Zeng
Read original paper ↗ ·Low-temperature molten-salt enabled synthesis of highly-efficient solid-state emitting carbon dots optimized using machine learning
Nature Communications · 2025
Yu Lan, Guangsong Zheng, Run‐Wei Song, Jing-Nan Hao, Jia-Lu Liu, Cheng‐Long Shen, Jinyang Zhu, Sheng Mei Cao, Jialong Zhao, Qing Lou, Chongxin Shan
Read original paper ↗ ·AI‐Driven Advances in Sustainable Materials for Green Energy: From Innovation to Lifecycle Management
SusMat · 2025
Yuehui Xian, Cheng Li, Yangyang Xu, Yumei Zhou, Dezhen Xue
Read original paper ↗ ·Topological features of lithium disilicate glass-ceramics uncovered through materials informatics
Dental Materials · 2025
Satoshi Yamaguchi, Hefei Li, Naoya Funayama, Tomoki Kohno, Satoshi Imazato
Read original paper ↗ ·Joule heating for carbon material Synthesis: Mechanisms, material evolution, and sustainable prospects
Renewable and Sustainable Energy Reviews · 2025
Zijun Pan, Xiaolei Shi, Zhengyao Zhu, Xuan Tao, Xujie Zhao, Lujiang Xu, Shuai Gao, Liang Wang, Chen Wei, Zhen Yu Fang
Read original paper ↗ ·Machine learning-assisted shape prediction for two-dimensional transition metal dichalcogenides growth
Journal of Materials Science · 2025
Zhihong Jewel Hu, Zongyu Huang, Biwen He, Siwei Luo, Xiang Qi
Read original paper ↗ ·Thermoelectric Materials for Spintronics: From Physical Principles to Innovative Half Metallic Ferromagnets, Devices, and Future Perspectives
Inorganics · 2025
Alessandro Difalco, Alberto Castellero
Read original paper ↗ ·Electric Field-Assisted Chemical Bath Deposition of ZnO Thin Films: Effects of Field Intensity, Polarity Inversion, and Air Agitation on Film Properties
Coatings · 2025
Jesús Bladimir Cepero-Rodríguez, F. Ramos‐Brito, Jorge Angulo‐Rocha, M. A. Sánchez-Alejo, R. Martínez‐Martínez, Enrique Camarillo-García, Erika Lizárraga-Medina, F. J. Sánchez Rodríguez, C. Alejo-Armenta, Adrián Canizalez‐Román, S. J. Castillo, J.J. Molina-Duarte, Manuel García-Hipólito
Read original paper ↗ ·Rational Design of Metal Oxide Nanostructures via Dopant Control: A Case Study in Photoelectrochemical Performance
ACS Applied Materials & Interfaces · 2025
Mariana A. Dotta, Fabio A. Pires, Karen C. Bedin, Ingrid Rodríguez‐Gutiérrez, Francine Côa, Heloisa Silva, Gabriel Ravanhani Schleder, Carolina P. Torres, Fabiano Emmanuel Montoro, Diego Stéfani T. Martinez, Jefferson Bettini, Edson R. Leite, Renato V. Gonçalves, Flavio Leandro Souza
Read original paper ↗ ·Chalcogenide Glass Fibers and Their Advanced Optoelectronic Applications: Developments, Challenges, and Innovations
Laser & Photonics Review · 2025
Yanqing Fu, Shiliang Kang, Chengwei Gao, Linling Tan, Peiqing Zhang, Shixun Dai, Changgui Lin
Read original paper ↗ ·AI-Driven Analysis of Factors Influencing Capacitance and Lifetime in Graphene Supercapacitors: A Review and modelling
SSRN Electronic Journal · 2026
Sahar Yasami, Hamid Khoeini, Majid Abdouss
Read original paper ↗ ·AI-driven discovery of high-performance metal–organic frameworks for next-gen atmospheric water harvesting
Journal of Materials Chemistry A · 2026
Samar N. Abd Elwadood, Seda Rouxel, Samuel S. Mao, Ludovic Francis Dumée
Read original paper ↗ ·Fluorescence Probes Based on the Combination of Carbon Quantum Dots and Rare Earth Ions: Concepts and Applications
Springer eBooks · 2026
Sodeh Sadjadi
Read original paper ↗ ·Machine learning-driven dual-objective optimization of biomass-derived carbon quantum dots toward high conductivity and yield
RSC Advances · 2026
Heng Jiang, Haoyu Zhang, Ninghui Xu, Yanji Hao, Boyuan Zhang, Jianping Su, Yeqing Li
Read original paper ↗ ·Physics Informed Closed Loop ML Framework for Accelerated APCVD Growth of Tungsten Disulfide
SSRN Electronic Journal · 2026
Ayub Sekh, Vijay Kumar Singh
Read original paper ↗ ·Machine Learning Approach for Quantum Dots Synthesis
Venue not supplied by source · 2026
Rajat Kumar Goyal, Nidhi Bharadwaj, Pramod Garhwal
Read original paper ↗ ·AI-driven design and applications of quantum dots
Nano Today · 2026
Prince Kumar Soni, Manmohan Lal Satnami, Rekha Nagwanshi, Yogyata Chawre, Ankita Beena Kujur, Akash Sinha, Pinki Miri, Indrapal Karbhal, Kallol Kumar Ghosh
Read original paper ↗ ·Machine Learning-Assisted Large Area Screen-Printing Process Design for Uniform Carbon Nanotube Patterning
Proceedings, IEEE micro electro mechanical systems · 2026
Daeyeon Koh, Hanbin Cho, Hyungyu Im, Geunmin Son, Wonkeun Park, Seunghwa Ryu, Jongbaeg Kim
Read original paper ↗ ·Graphene oxide-based DNA biosensing: Recent advances and emerging roles of artificial intelligence and machine learning
Microchemical Journal · 2026
Atharv Pethe, Sonali Priyadarshini, Shivangi Chamoli, Divya Tripathi, Kanchan Karki, Kamil Reza Khondakar, Piyush Kumar
Read original paper ↗ ·Predicting Carbon Dot Photoluminescence: A Comparative Machine Learning Study on Systematic Synthesis Data
ACS Omega · 2026
Ali Nabi Duman, Youcef Djoudi, Skyler Phillips, Almaz S. Jalilov
Read original paper ↗ ·Engineered MgO Nanoparticles with Tunable Electronic Signatures for Energy Applications
ACS Omega · 2026
Mustafa Kurban, Can Polat, Erchin Serpedin, Hasan Kurban
Read original paper ↗ ·Machine learning-driven doping optimization: Enhancing structural stability of Mn-based ion sieves for Lithium extraction from brine
Separation and Purification Technology · 2026
Zhiai Huang, Luri Bao, Xiaorong Qu, Ting Wei, Shu-Ying Sun
Read original paper ↗ ·Review on Aging of Biodegradable Polymers: Experimental Approaches and Emerging Role of Machine and Deep Learning
Journal of Polymers and the Environment · 2026
Nicole Venachi, Alejandra I. Guerrero, Pedro Alban Bolaños, Lily Marcela Palacios, Germán Antonio Arboleda Muñoz, Diego Fernando Roa-Acosta, Héctor Samuel Villada Castillo
Read original paper ↗ ·Artificial intelligence-enabled chiral functional materials design
Science China Materials · 2026
Hongli Zhang, Gang Zou
Read original paper ↗ ·Advancing carbon dots research with machine learning: a comprehensive review
Journal of Materials Informatics · 2026
Yuze Ren, Xuetao Yan, Rongwei Fang, Haibo Deng, Yingying Chen, Zhenzhen Li, Lingyan Feng, Xiaogang Qu
Read original paper ↗ ·Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges
Responsive materials · 2026
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Mengdi Wang, Guqiao Ding
Read original paper ↗ ·Machine Learning Guided Growth of Ultrathin 2D Fe 3 O 4 With a Single Magnetic Domain
Advanced Functional Materials · 2026
Ruiting Liu, Liqiong He, Zhengyang Cai, Dongfeng Zheng, Xin Kang, Zhi-Yuan Zhang, Yunhao Zhang, Bilu Liu
Read original paper ↗ ·Artificial Intelligence-Driven Wearable Sensors for Cardiovascular Health Monitoring
ACS Sensors · 2026
H T Deng, Biao Ma, Gangsheng Chen, Junjie Chi, Jiayi Tong, Fuchao Yu, Bo Lü, Yuehua Chen, Chao Zhao, C Zhang, Hong Liu
Read original paper ↗ ·From Discovery to Deliverables: Bridging the Machine Learning, Synthesis, and Characterization Gap in Nanoscale Materials
Chemistry of Materials · 2026
Ruyun Cai, Tianyi Gao, Fang Fang, Yang Liu
Read original paper ↗ ·Carbon quantum dots from waste and biomass for water treatment: A review on nanomaterials AI-enhanced synthesis and characterization
Journal of environmental chemical engineering · 2026
Eya Ben Khamsa, Sana Kordoghli, Lydia E. Fryda, Noujoud Smiti, Féthi Zagrouba, Abdoulaye Kane, Farid Fadhillah, Fekri Abdulraqeb Ali, Aymen Amine Assadi, Abdeltif Amrane, Ahmed Amine Azzaz
Read original paper ↗ ·Surface Engineering of Zinc Anodes toward Durable Aqueous Zinc‐Ion Batteries
Advanced Functional Materials · 2026
Xuyang Lu, Gang Wang, Beibei Xu, Jiayuan Wang, Y. H. Wang, Weiyou Yang, Qiao Liu, Qing Shi
Read original paper ↗ ·Transforming waste into innovation: Biowaste-derived quantum dots for future technologies
Renewable and Sustainable Energy Reviews · 2026
Kirti Bhardwaj, Ravikant Adalati, Gaurav Malik, Heedae Kim
Read original paper ↗ ·Machine-Learning-Assisted Carbon Dots: From Algorithms to Applications and Beyond
Molecules · 2026
Fengjiao Jia, Hengkai Wang, Deyu Shen, Dandan Sang, Z Z Zhang, Hui Li, Santosh Kumar, Qinglin Wang
Read original paper ↗ ·Artificial Intelligence for Materials Science: Transforming Research Paradigms
Chemical Reviews · 2026
Yue Li, Shurui Wang, Jianping Wang, Liu Q, Jin Zhang
Read original paper ↗ ·Machine learning-guided inverse design of biomass-derived MgO nanoparticles with targeted sizes: A case study on As(III) adsorption
Environmental Research · 2026
Yiming Cao, Lin Fan, Wenyan Wang, Yan He
Read original paper ↗ ·