Papers citing Advances of machine learning in materials science: Ideas and techniques
Interfacial electronic state between hexagonal ZnO and cubic NiO
RSC Advances · 2024
Yii Yat Chan, Zi Cheng Tey, Hui‐Qiong Wang
Read original paper ↗ ·Local symmetry-driven interfacial magnetization and electronic states in (ZnO) n /(w-FeO) n superlattices
Physical Chemistry Chemical Physics · 2024
Jiaxin Gao, Yi Sheng Ng, Hao Cheng, Hui‐Qiong Wang, Tie‐Yu Lü, Jin‐Cheng Zheng
Read original paper ↗ ·Prediction of the Tribological Properties of Graphite-Filled Ptfe Composites Based on Machine Learning Algorithms
SSRN Electronic Journal · 2024
Huifeng Ning, Wenwen WANG, Gui Li Gao, Honggang Wang, Yibo Wang
Read original paper ↗ ·The “Applicability Domain” Problem in Materials AI: A Theoretical Treatment of When Models Should Stay Silent
Journal of Artificial Intelligence for Materials Science · 2024
Lucas Meyer, Anna Schmid, Stefan Braun
Read original paper ↗ ·Universal scales of electronegativity and ionicity from electron scattering factors
Physical Chemistry Chemical Physics · 2024
Jin‐Cheng Zheng
Read original paper ↗ ·Unsupervised learning and pattern recognition in alloy design
Digital Discovery · 2024
Ninad Bhat, N. Birbilis, Amanda Susan Barnard
Read original paper ↗ ·Analysing the Roles of Robotics in Manufacturing Organizations in the Era of Industry 4.0
Venue not supplied by source · 2024
Adedotun Adetunla, Esther T. Akinlabi, Tien‐Chien Jen, Samuel-Soma M. Ajibade
Read original paper ↗ ·Harnessing the Power of Artificial Intelligence in Materials Science: An Overview
Venue not supplied by source · 2024
Adedotun Adetunla, Esther T. Akinlabi, Tien‐Chien Jen, Samuel-Soma M. Ajibade
Read original paper ↗ ·Deep learning in two-dimensional materials: Characterization, prediction, and design
Frontiers of Physics · 2024
Xinqin Meng, Chengbing Qin, Xilong Liang, Guofeng Zhang, Ruiyun Chen, Jianyong Hu, Zhichun Yang, Jianzhong Huo, Liantuan Xiao, Suotang Jia
Read original paper ↗ ·Machine Learning-Based Prediction of Stability in High-Entropy Nitride Ceramics
Crystals · 2024
Tianyu Lin, Ruolan Wang, Dazhi Liu
Read original paper ↗ ·Enhanced predictive optimization of methane dry reforming via ResponseSurface methodology and artificial neural network approaches: Insights using a novel nickel-strontium-zirconium-aluminum catalyst
Molecular Catalysis · 2024
Tahani S. Gendy, Radwa A. El‐Salamony, Maher M. Alrashed, Abdulaziz S. Bentalib, Ahmed Ibrahim Osman, Rawesh Kumar, Anis Hamza Fakeeha, Ahmed Sadeq Al-Fatesh
Read original paper ↗ ·A machine learning approach for dynamical modelling of Al distributions in zeolites via 23 Na/ 27 Al solid-state NMR
Faraday Discussions · 2024
Lei Chen, Carlos Bornes, Oscar Bengtsson, Andreas Erlebach, Ben Slater, Lukáš Grajciar, Christopher James Heard
Read original paper ↗ ·Low-dimensional N-heterocyclic carbenes nanomaterials: Promising supports of single atom catalysts
Vacuum · 2024
Wei Liu, Sitong Liu, Kai Guo, Wenming Lu, Jingchao Sun, Jing Xu, Maosheng Miao, Hai‐Qing Lin
Read original paper ↗ ·Artificial intelligence modeling for power system planning
Electrical Engineering · 2024
Sonja Knežević, Mileta Žarković
Read original paper ↗ ·Multi-iteration active learning for the composition design of potassium–sodium niobate ceramics with enhanced piezoelectric coefficient
Ceramics International · 2024
Heng Hu, Miaomiao Huang, Bin Wang, Didi Zhang, Tao Tan, Kang Yan, Dawei Wu
Read original paper ↗ ·From Sunlight to Solutions: Closing the Loop on Halide Perovskites
ACS Materials Au · 2024
Elham Foadian, Sheryl L. Sanchez, Sergei V. Kalinin, Mahshid Ahmadi
Read original paper ↗ ·Feature mining for thermoelectric materials based on interpretable machine learning
Nanoscale · 2024
Yiyu Liu, Zilong Mu, Peichao Hong, Yun Yang, Changxu Lin
Read original paper ↗ ·Machine learning prediction of materials properties from chemical composition: Status and prospects
Chemical Physics Reviews · 2024
Mohammed Alghadeer, Nufida D. Aisyah, Mahmoud Hezam, Saad M. Alqahtani, Ahmer A.B. Baloch, Fahhad H. Alharbi
Read original paper ↗ ·Development of an Analytical Model for Predicting the Tensile Modulus of Complex Polypropylene Compounds
Polymers · 2024
Lukas Seifert, Lisa Leuchtenberger-Engel, Christian Hopmann
Read original paper ↗ ·Analysis on Mechanical Behavior of Additively Manufactured PLA/Eggshell Composites Using Machine Learning Algorithms
Journal of Materials Engineering and Performance · 2024
Nisha Soms, K. Ravikumar, N. Gunasekar
Read original paper ↗ ·State-of-the-art review on various applications of machine learning techniques in materials science and engineering
Chemical Engineering Science · 2024
Bing Yu, LiQin Zhang, Xiaoxia Ye, JunQi Wu, JunQi Wu, HuaYong Ying, Wei Zhu, Xiaoming Wu, Xiaoming Wu
Read original paper ↗ ·Accelerating Perovskite Solar Cells Development with Machine Learning: Optimizing Efficiency Through Modeling and Shap Analysis
SSRN Electronic Journal · 2025
Ruiquan Liang, Qian Liu, Chunhua Hu, Jianzha Zheng, Yang Li, Yiwen Wang, Yaohua Mai
Read original paper ↗ ·Active and transfer learning with partially Bayesian neural networks for materials and chemicals
Digital Discovery · 2025
Sarah I. Allec, Maxim A Ziatdinov
Read original paper ↗ ·Advances in van der Waals thermoelectric materials: prospects and challenges
RSC Applied Interfaces · 2025
Marco Fronzi, Paolo Mele, Amanda V. Ellis, Catherine Stampfl
Read original paper ↗ ·DT-MIM: A network suitable for alloy microstructure evolution prediction and characterization
SSRN Electronic Journal · 2025
Yue‐Fei Zhang, Ze Sheng Lu, Jianli Zhou, Jiahao Li, Ao Liu, Ze Zhang
Read original paper ↗ ·From synthesis to properties: expanding the horizons of machine learning in nanomaterials research
Materials Horizons · 2025
Shanhui Diao, Qiong Wu, Shimei Li, Gang Xu, Xiangling Ren, Longfei Tan, Guihua Jiang, Peng Song, Xianwei Meng
Read original paper ↗ ·Machine Learning Interatomic Potentials and Orientational Defects in Polymers
NATO science for peace and security series. B, Physics and biophysics · 2025
Arnold E. Kiv, Vladimir Soloviev, Andrii Tuzhykov, Taras S. Kavetskyy, Наталія Костянтинівна Гойванович, Ondrej Šauša, Jaroslav Rusnák, Helena Švajdlenková, Jolita Ostrauskaitė, Андрій Олександрович Бєлінський, Mykola Sliusarenko
Read original paper ↗ ·Optimization of nickel-based catalysts for hydrogenolysis of light paraffins using machine learning
Catalysis Science & Technology · 2025
Mohamd Sebaa, Kirill Motaev, Мaxim S. Моlokeev, Nikita O. Azarapin, Alina Petrishena, Alexey V. Matigorov, Andrey N. Zagoruiko, Andrey Vladimirovich Elyshev
Read original paper ↗ ·Solution-synthesized nanostructured materials with high thermoelectric performance
Nanoscale · 2025
Pengfei Xu, Kangpeng Jin, Jie Huang, Zhenhua Yan, Liangwei Fu, Biao Xu
Read original paper ↗ ·Modulating the properties of g-C3N4 through two-step annealing and ionic-liquid gating
Nanotechnology · 2025
N. Sa, Kaiqi Nie, Yi Sheng Ng, Tielong Deng, Jinfeng Xu, Weichao Wang, Yi-Xiao Deng, Jiaou Wang, Junyong Kang, Jin‐Cheng Zheng, Meng Qiang Wu, Hui‐Qiong Wang
Read original paper ↗ ·Development of an Analytical Model for Predicting the Shear Viscosity of Polypropylene Compounds
Polymers · 2025
Lukas Seifert, Lisa Leuchtenberger-Engel, Christian Hopmann
Read original paper ↗ ·Application of machine learning in polyimide structure design and property regulation
High Performance Polymers · 2025
Wenjia Huo, Haiyue Wang, Liying Guo, Rongrong Zheng, Boyang Liang, Xiang Xia Wu, Cheng Wang
Read original paper ↗ ·Machine Learning-Driven Prediction of Composite Materials Properties Based on Experimental Testing Data
Polymers · 2025
Христина Володимирівна Берладір, Katarzyna Antosz, Vitalii Ivanov, Zuzana Mitaľová
Read original paper ↗ ·The Role of Artificial Intelligence in Microstructural Characterization of Ferrous Materials: A Review of Tools, Findings, and Research Challenges
Journal of Mines Metals and Fuels · 2025
Naveed Anjum, Suma, M. Rakesh, Rumana Anjum, S. S. Chikkadevegowda, B. Sandeep
Read original paper ↗ ·Detection of COVID-19, lung opacity, and viral pneumonia via X-ray using machine learning and deep learning
Computers in Biology and Medicine · 2025
Hajar Lamouadene, Majid EL Kassaoui, Mourad El Yadari, Abdallah El Kenz, A. Benyoussef, Amine El Moutaouakil, O. Mounkachi
Read original paper ↗ ·Model-Based Prediction of the Tensile Properties of Polypropylene Films Made from Recycled Materials
Polymers · 2025
Marius Stieglitz, Sonja Adomeit, Marisa Müller, Karina Hettwer, Anja Schlierf, Steffen Uhlig, Sarah David, Christian Hopmann, Lisa Leuchtenberger-Engel
Read original paper ↗ ·Development of PP Compound Recipes Using Genetic Algorithms and Analytical Models
Polymers · 2025
Lukas Seifert, Lisa Leuchtenberger-Engel, Christian Hopmann
Read original paper ↗ ·A guided review of machine learning in the design and application for pore nanoarchitectonics of carbon materials
Materials Science and Engineering R Reports · 2025
Chuang Wang, Xingxing Cheng, Kai Luo, K. Nandakumar, Zhiqiang Wang, Meng Ni, Xiaotao Tony Bi, Jiansheng Zhang, Chunbo Wang
Read original paper ↗ ·Machine learning-based optimization of cytotoxicity testing for assessing Zn-based biodegradable metals
Materials Today Bio · 2025
Qi Wang, Changzhong Chen, Qian Liu, Qian‐Li Li, Jiahao Chen, Qing Zhang, Qingbin Zhang, Ping Li
Read original paper ↗ ·Efficient dataset generation for machine learning halide perovskite alloys
Physical Review Materials · 2025
Henrietta Homm, Jarno Laakso, Patrick Rinke
Read original paper ↗ ·Predicting and Understanding Work Functions of Double Transition Metal MXenes via Interpretable Machine Learning Methods
Langmuir · 2025
Yihao Zheng, Xiangcui Qiu, Haibo Li, Konggang Qu, Hui Yan, Rui Li
Read original paper ↗ ·Machine Learning with Interpretable Local Descriptors for Hydrogen Evolution Reaction on Borophene: Prediction and Physical Insights
ACS Applied Energy Materials · 2025
Yi Sheng Ng, Jin‐Cheng Zheng
Read original paper ↗ ·A systematic study on the optical properties and photovoltaic performance of SnS solar cells using Bethe-Salpeter equation and device simulation
Renewable Energy · 2025
Shuo Lin, Weichao Wang, Baoping Zhang, Tie‐Yu Lü, Huanting Chen, Huaqing Pan, Chuanjin Lin, Xirong Li, Yingwen Tang, Jin‐Cheng Zheng
Read original paper ↗ ·Machine learning-guided exploration of carbon-based photothermal materials for solar evaporation
Separation and Purification Technology · 2025
Gang Bai, Zihui Wang, Hao Wang, Chenglong Wang, Xinjuan Liu, Haibo Li, Guang Yang, Min Xu, Likun Pan
Read original paper ↗ ·Accelerating tribological material discovery: A machine learning framework with predictive insights
Tribology International · 2025
Ayna Zahoor, Atikur Rahman, Mohammad Mursaleen
Read original paper ↗ ·Modeling and prediction of tribological properties of graphite-filled PTFE self-lubricating composites based on machine learning algorithms
Journal of Materials Science · 2025
Huifeng Ning, Wenwen Wang, Gui Li Gao, Honggang Wang, Yibo Wang
Read original paper ↗ ·Fracture behavior of 3D printed geopolymer concrete containing waste ceramic
Cement and Concrete Composites · 2025
Chengjie Ye, Jie Xu, Giuseppe Lacidogna
Read original paper ↗ ·Prediction of ABX3 Perovskite Formation Energy Using Machine Learning
Materials · 2025
Ziliang Deng, Kailing Fang, Chong Guo, Zhichao Gong, Haojie Yue, Huacheng Zhang, Kang Li, Kun Guo, Zhiyong Liu, Bing Xie, Jinshan Lu, Kui Yao, Francis E. H. Tay
Read original paper ↗ ·General Spectral Model for Quantitative Interfacial Electronic State Analysis With Different Growth Modes
Surface and Interface Analysis · 2025
Zi Cheng Tey, Hui‐Qiong Wang, Jin‐Cheng Zheng
Read original paper ↗ ·Artificial intelligence in materials science and engineering: Current landscape, key challenges, and future trajectories
Composite Structures · 2025
Iman Peivaste, Salim Belouettar, Francesco Mercuri, Nicholas Fantuzzi, Hamidreza Dehghani, Razie Izadi, Halliru Ibrahim, Jakub Lengiewicz, Mael Belouettar-Mathis, Kouider Bendine, Ahmed Makradi, Martin Horsch, Peter Klein, M. Hachemi, Heinz A. Preisig, Yacine Rezgui, Natalia Konchakova, Ali Daouadji
Read original paper ↗ ·