研究论文
High throughput screening of new piezoelectric materials using graph machine learning and knowledge graph approach
Archit Anand, Priyanka Kumari, Ajay Kumar Kalyani
Indian Institute of Technology Patna
来源Computational Materials Science
年份2024
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学术脉络
学科主题
材料 / 化学Machine Learning in Materials Science
Ferroelectric and Piezoelectric Materials · Advanced Chemical Physics Studies
参考文献 88
A Combined Rietveld Refinement on the Crystal Structure of a Magnetoelectric Aurivillius Phase Bi 5 Ti₃FeO 15 Using Neutron and X-ray Powder Diffractions
被引 2Taegyung Ko, Changho Jun, Jeong-Soo Lee · Korean Journal of Ceramics · 1999
Prediction of Low-Thermal-Conductivity Compounds with First-Principles Anharmonic Lattice-Dynamics Calculations and Bayesian Optimization
被引 455Atsuto Seko, Atsushi Togo, Hiroyuki Hayashi · Physical Review Letters · 2015
Materials Cartography: Representing and Mining Materials Space Using Structural and Electronic Fingerprints
被引 298Olexandr Isayev, Denis Fourches, Eugene N. Muratov · Chemistry of Materials · 2014
此处列出前 3 条
引用本文 9
Artificial Intelligence for Materials Discovery, Development, and Optimization
被引 170Benediktus Madika, Aditi Saha, Chaeyul Kang · ACS Nano · 2025
A review of machine learning methods for geopolymer performance prediction: Linking data-driven models with physical insights
被引 7Shuo Zheng, Zhibin Liu, Zhibin Liu · Journal of Building Engineering · 2025
Bridging data and discovery: a survey on knowledge graphs in AI for science
被引 5Keyan Ding, Zhihui Zhu, Yuqi Tang · National Science Review · 2026
按被引量排序，此处列出前 3 条