Papers citing Machine learning accelerates the materials discovery
How to choose proper electron acceptor groups for highly efficient copper electrolyte-based dye-sensitized solar cells?
Journal of Photochemistry and Photobiology A Chemistry · 2024
Hui-min Xie, Xing Fang Hu, Zi-feng Gu, Zu-lun Ma, Changyan Zhu, Ji Zhang
Read original paper ↗ ·A review of the preparation and prospects of amorphous alloys by mechanical alloying
Journal of Materials Research and Technology · 2024
Xianjie Yuan, Yi-rui Zhang, Xuanhui Qu, Haiqing Yin, Shuai Li, Zhen-wei Yan, Zhao-jun Tan, Sijiang Hu, Yu-guo Gao, Peng-yan Guo
Read original paper ↗ ·Deep Learning and Machine Learning for Materials Design
IEEE International Symposium on Logistics and Industrial Informatics (LINDI) · 2024
Mohammed Mudabbiruddin, Judit Takacs, Amir Hosein Mosavi, Felde Imre, Narjes Nabipour
Read original paper ↗ ·Recent Advances in High‐Entropy Layered Oxide Cathode Materials for Alkali Metal‐Ion Batteries
Advanced Materials · 2024
Liping Duan, Yingna Zhang, Haowei Tang, Jiaying Liao, Guangmin Zhou, Xiaosi Zhou
Read original paper ↗ ·RETRACTED: Exploring high entropy alloys: A review on thermodynamic design and computational modeling strategies for advanced materials applications
Heliyon · 2024
Peter Ifeolu Odetola, Bukola Joseph Babalola, Ayodeji Ebenezer Afolabi, Ufoma Silas Anamu, Emmanuel Olorundaisi, Mutombo Christian Umba, Thabang A. Phahlane, Olusoji Oluremi Ayodele, Peter Apata Olubambi
Read original paper ↗ ·Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook
Advanced Science · 2024
Pengcheng Xue, Rui Qiu, Chuchuan Peng, Zehang Peng, Kui Ding, Rui Long, Liang Ma, Qifeng Zheng
Read original paper ↗ ·Enhancing creep rupture life prediction of high‐temperature titanium alloys using convolutional neural networks
Materials Genome Engineering Advances · 2024
Bangtan Zong, Jinshan Li, Changlu Zhou, Ping Wang, Bin Tang, Ruihao Yuan
Read original paper ↗ ·A data-driven uncertainty quantification framework in probabilistic bio-inspired porous materials (Material-UQ): An investigation for RotTMPS plates
Computer Methods in Applied Mechanics and Engineering · 2024
Duong Q. Nguyen, Kim Q. Tran, Thinh D. Le, Magd M. Abdel Wahab, Hung Nguyen‐Xuan
Read original paper ↗ ·A machine learning method approach for designing novel high strength and plasticity metastable β titanium alloys
Progress in Natural Science Materials International · 2024
Zhiduo Liu, Haoyu Zhang, Shuai Zhang, Jun Jie Cheng, Yixuan He, Ge Zhou, J.L. Liu, Suping Song, Lijia Chen
Read original paper ↗ ·Accelerating materials property discovery in uncharted domains through the integration of high-throughput computation and machine learning
CrystEngComm · 2025
Chih‐Shan Tan
Read original paper ↗ ·Advances in CO 2 capture and utilization: the role of DFT in understanding CO 2 activation and its conversion mechanisms for methanol and cyclic carbonates production
Catalysis Science & Technology · 2025
Valeria Butera, Giampaolo Barone
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 ↗ ·Experimental and modelling study on optimization of glass fiber filter diversion structure
Thermal Science · 2025
Lele Zhang, Liang Hu, Jing Hu, Jianmin Zhao, Yangui Chen, J. Q. Zheng
Read original paper ↗ ·Integrating ML Approaches for Photodetectors
Progress in optical science and photonics · 2025
Sayantani Bhattacharya, Sukanya Ghosh, Debajit Deb, Praveenkumar Hiremath, Debarati Nath
Read original paper ↗ ·Machine Learning Algorithms for Applications in Materials Science I
Challenges and advances in computational chemistry and physics · 2025
Azizeh Abdolmaleki, Fereshteh Shiri, Shahin Ahmadi
Read original paper ↗ ·Machine learning approach for surface morphology of nanoparticles: Image analysis and data mining techniques
AIP conference proceedings · 2025
Sorabh Lakhanpal, Abhishek Joshi, Kshama Sharma, Mohammed Ahmed Mohiuddin, Voruganti Sreevani
Read original paper ↗ ·Reactivity descriptors for sulfur redox kinetics in lithium–sulfur batteries: from mechanistic insights to machine learning driven catalyst design
Chemical Society Reviews · 2025
Ziqing Yao, Yulu Zou, Shuangke Liu, Yujie Li, Qingpeng Guo, Chunman Zheng, Weiwei Sun
Read original paper ↗ ·Co-based spinel and perovskite oxides in catalytic combustion of volatile organic compounds: Recent advances and future prospects
Journal of environmental chemical engineering · 2025
Zijuan You, Tiange Liu, Meiqin Chen, Hanlin Chen
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 ↗ ·Data and Knowledge Dual-Driven Creep Life Prediction for Austenitic Heat-Resistance Steel
Metals · 2025
Xiaochang Xie, Mutong Liu, Ping Yang, Zenan Yang, Chengbo Pan, Chenchong Wang, Xiaolu Wei
Read original paper ↗ ·Predicting the magnetic properties of Fe-based bulk metallic glasses by ensemble machine learning and interpretable information
Journal of Alloys and Compounds · 2025
Qiulin Bi, Jialiang Liu, Junting Li, Hanmei Chen, Shunwei Chen, Xiujun Han
Read original paper ↗ ·Machine Learning Speeds Up the Discovery of Efficient Porphyrinoid Electrocatalysts for Ammonia Synthesis
Energy & environment materials · 2025
Wenfeng Hu, Bingyi Song, Li‐Ming Yang
Read original paper ↗ ·AI in single-atom catalysts: a review of design and applications
Journal of Materials Informatics · 2025
Qijun Yu, Ninggui Ma, Chihon Leung, Han Liu, Yang Ren, Zhanhua Wei
Read original paper ↗ ·A machine learning-based framework for predicting the power factor of thermoelectric materials
Applied Materials Today · 2025
Yuxuan Zeng, Wei Cao, Tan Peng, Yue Hou, Ling Miao, Ziyu Wang, Jing Shi
Read original paper ↗ ·Prediction of Composite Performance of Refractory and Ceramic Materials Based on Deep Learning
JOM · 2025
Xue‐liang Yin, Ruipeng Li, Xun Sun, Qi Feng, Bo Zhang, Shuyuan Zhao
Read original paper ↗ ·Optimizing Boride Coating Thickness on Steel Surfaces Through Machine Learning: Development, Validation, and Experimental Insights
Applied Sciences · 2025
Selim Demirci, Selim Demirci, Durmuş Özkan Şahi̇n, Sercan Demіrcі, Sercan Demіrcі, Armağan Gümüş, Mehmet Masum Tünçay
Read original paper ↗ ·Study on the Effects of Tar Reforming and Steam Gasification of Keyaki Bark in Saitama Prefecture
Sustainability · 2025
Shangrong Wu, Qingyue Wang, Isobe Ryota
Read original paper ↗ ·Design and optimization of a mechanical metamaterial featuring dual tunability in auxeticity and bandgap modulation
Composite Structures · 2025
Jiayi Hu, Zhi Gong, Yuanlong Li, Peng Dong, Hongyan Yuan
Read original paper ↗ ·Prediction of thermal conductivity in multi-component magnesium alloys based on machine learning and multiscale computation
Journal of Materials Informatics · 2025
Junwei Chen, Yixin Zhang, Jun Peng Luan, Yunying Fan, Zhigang Yu, Bin Liu, Kuo‐Chih Chou
Read original paper ↗ ·Prediction for magnetic properties of sintered NdFeB magnets based on machine learning
Journal of Alloys and Compounds · 2025
Qinglang Zhou, Xiangyu Ma, Peng Lin, Xiaodong Xing, Shuyong Jiang, Xinxin Bai, Zhongyu Zhou, Yanqiu Zhang, Yanqing Zhang
Read original paper ↗ ·Machine learning-driven design of rare metal doped niobium alloys with enhanced strength and ductility
Journal of Materials Research and Technology · 2025
Zhenqiang Xiong, ZhaoKun Song, Jianwei Li, Heran Wang, Xiaoxin Zhang, Bin Liang, Dong Wang
Read original paper ↗ ·Deep learning enhanced prediction of microwave dielectric constant of spinel ceramics eliminating manual feature engineering
Materials Today Physics · 2025
Xiaobin Liu, Qiuxia Huang, Chang Su, Ning Shao, Lei Zhang, Yapeng Tian, Huanfu Zhou
Read original paper ↗ ·Accelerated material discovery of high-performance Mg alloys via active learning and high throughput multi-objective informed Bayesian optimization
Materials Today Communications · 2025
Atwakyire Moses, Ying Gui, Ding Chen
Read original paper ↗ ·High-throughput design strategy for creep-resistance steel using machine learning and optimization algorithm
Materials Today Communications · 2025
Chengbo Pan, Chenchong Wang, Yuqi Zhang, Xiaolu Wei, Wei Xu
Read original paper ↗ ·Machine learning-assisted interfacial modulation and configuration design of metal matrix composites: A review
Materials Today Communications · 2025
Yangyang Cheng, Rui Shu, Hongliang Sun, Min Zou, Yu Jiao, Zixuan Wu, Yang Liu, Xiaosong Jiang
Read original paper ↗ ·Machine learning-assisted screening of transition metal-doped TMDs for binding energy and charge transfer prediction
Materials Today Communications · 2025
Pengfei Jia, Qingbin Zeng, Mingxiang Wang, Yiyi Zhang, Jiefeng Liu, Min Gang Xu, Dachang Chen
Read original paper ↗ ·Time-series prediction of the deformation behavior of small circular ring based on residual structure and Bi-LSTM network
Robotic Intelligence and Automation · 2025
Haiqiang Zuo, Yiyi Xu, Mianjie Li, Hao Wang
Read original paper ↗ ·Rapid Discovery of Graphene Nanoflakes with Desired Absorption Spectra Using DFT and Bayesian Optimization with Neural Network Kernel
The Journal of Physical Chemistry A · 2025
Şener Özönder, Hatice Kübra KÜÇÜKKARTAL
Read original paper ↗ ·Biomimetic Intelligent Thermal Management Materials: From Nature‐Inspired Design to Machine‐Learning‐Driven Discovery
Advanced Materials · 2025
Heng Zhang, Qingxia He, Fei Zhang, Yanshuai Duan, Mengmeng Qin, Wei Feng
Read original paper ↗ ·Predicting thermophysical properties and fracture toughness of Zirconia-based thermal barrier coating by interpretable machine learning method
Materials Today Communications · 2025
Hao Xia, Zhen-Dong Sha
Read original paper ↗ ·Machine learning-driven optimization of wear-resistant high-manganese steel properties: achieving multi-property matching under specified composition
Journal of Materials Science · 2025
Ruizhi Han, Shuai Zhao, Rong Mu, Renbo Song
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 ↗ ·Machine Learning Enabled Estimation of Formability for Anisotropic Sheet Metals
Metals and Materials International · 2025
Abdul Samad, Ankit Kumar Thakur, Shamik Basak, Kaushik Pal
Read original paper ↗ ·Machine Learning-Based High Entropy Alloys-Algorithms and Workflow: A Review
Acta Metallurgica Sinica (English Letters) · 2025
Hao Cheng, Chenglei Wang, Xiao-Du Li, Li Pan, Chaojie Liang, Weijie Liu
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 ↗ ·Predicting the creep behavior of thermoset polymers using machine learning techniques
Polymer Bulletin · 2025
Yüksel Çakır
Read original paper ↗ ·Accelerating the Discovery of Low-Dielectric Polyimides Based on Interpretable Machine Learning
ACS Applied Polymer Materials · 2025
Rongrong Zheng, Wenjia Huo, Boyang Liang, Xiang Xia Wu
Read original paper ↗ ·Toward accurate machine learning‐driven prediction of polymeric composites properties based on experimental data
Materials Genome Engineering Advances · 2025
Joseph H. Han, In Kim, Namjung Cho, Kwan Soo Yang, Jin Suk Myung, Jaeseong Park, Seong Hun Kim, Woo Jin Choi
Read original paper ↗ ·Recent advances in machine learning-assisted design of additive manufacturing metastructures: a review
Composite Structures · 2025
Shuailong Gao, Yingjian Sun, Li Xi, Tian Qi Zhao, Yixing Huang, Rujie He, Xiao Kang, Ying Li
Read original paper ↗ ·Materials informatics: A review of AI and machine learning tools, platforms, data repositories, and applications to architectured porous materials
Materials Today Communications · 2025
Fatima Živić, Ana M. Kaplarevic-Malisic, Nenad Grujović, Boban S. Stojanovic, Milos R. Ivanovic
Read original paper ↗ ·