RESEARCH PAPER · Computational Materials Science · 2021
Prediction of the Curie temperatures of ferroelectric solid solutions using machine learning methods
Read original paper ↗See where this research leads.
19 direct citing papers in this saved network. Explore the next layer with second-order citations.
Filter Citing Papers Filters active
All journals
No journals match your search.
Most represented first · select one or moreExplore Terms In These PapersHide SuggestionsShow Suggestions
No citing papers match these filters. Change a term or clear filters to see the network again.
Abstract From The Index
Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.
Browse Matching Papers
Papers that cite this work
19 direct citing papers saved.
A Multilevel Analytical Theory for Prediction of Ferroelectric Perovskite Oxide Properties from Composition
Advanced Materials · 2021-11-23
Suhas Yadav, Atanu Samanta, Or Shafir, Ilya Grinberg
Read original paper ↗ ·Curie Temperature Prediction of BiFeO3-PbTiO3-BaTiO3 Solid Solution Based on Machine Learning
Journal of Inorganic Materials · 2022-01-01
Zhixiang Jiao, Fanhao Jia, Yongchen WANG, Jianguo CHEN, Wei Li Ren, Jinrong Cheng
Read original paper ↗ ·Spinel nitride solid solutions: charting properties in the configurational space with explainable machine learning
Digital Discovery · 2022-01-01
Pablo Sánchez-Palencia, Said Hamad, Pablo Palacios, Ricardo Grau‐Crespo, Keith T. Butler
Read original paper ↗ ·Data-driven modeling of an elastomer bushing system under various visco-hyperelastic deformations
Computational Materials Science · 2022-08-12
Amirmohammad Daareyni, Mostafa Baghani, Farshid Ghezelbash, Mohammad Reza Zakerzadeh
Read original paper ↗ ·Implementation of Machine Learning Approaches for Crystal Structure Estimation in Lithium-ion Battery Cathode Materials
Afyon Kocatepe University Journal of Sciences and Engineering · 2022-08-31
Meltem Süpürtülü, Çiğdem DİNDAR, Recep Akyüz
Read original paper ↗ ·Rapid screening B-site doping ferroelectric perovskite with high curie temperature for electronic applications by a novel IDBO-RF approach
Materials Today Communications · 2023-12-27
Lanping Chen, Nan Hu, Taizhong Yao, Sichao Sun, Biao Yang
Read original paper ↗ ·Improved carbide volume fraction estimation in as-cast HCCI alloys using machine learning techniques
Computational Materials Science · 2024-04-10
Ullal Pranav Nayak, Martin Johannes Müller, Noah Quartz, María Agustina Guitar, Frank Mücklich
Read original paper ↗ ·Merits and Demerits of Machine Learning of Ferroelectric, Flexoelectric, and Electrolytic Properties of Ceramic Materials
Materials · 2024-05-23
Kyuichi Yasui
Read original paper ↗ ·Tailoring performance of Bi(Ni0.50Ti0.50)O3–BiFeO3–Pb(Zr0.50Ti0.50)O3 ceramics via composition designing and sintering process improvement
Bulletin of Materials Science · 2024-05-23
Shihao Wang, Bijun Fang, Zhihui Chen, Xiaolong Lu, Shuai Zhang, Jianning Ding
Read original paper ↗ ·Optimizing a machine learning design of dielectric properties in lead-free piezoelectric ceramics
Materials & Design · 2024-05-31
Hélder R. O. Rocha, Roy Roukos, Sara Abou Dargham, Jimmy Romanos, Denis Chaumont, Jair A. L. Silva, H. J. Wörtche
Read original paper ↗ ·Establishing rheological models of lignin-based solutions via molecular parameters using machine learning
Industrial Crops and Products · 2024-09-24
Zhongfan Luo, Jingjing Chen, Peishi Dong, Tonghuan Zhang, Danyang Cao, Yuanhui Ji, Xiaoyan Ji, Xin Feng, Jiahua Zhu, Xiaohua Lü, Liwen Mu
Read original paper ↗ ·Prediction of dielectric properties of ferroelectric materials based on deep neural networks
Science Progress · 2025-01-01
Jiachen Wang, Ziyu Cui, Xin Zhang, Jikai Zhao, Fan Li, Zhongbin Zhou, Nathan Saye Teah, Yunfei Gao, Gaochao Zhao, Yang Yang
Read original paper ↗ ·Prediction of piezoelectric properties of NBT-based ceramics based on deep neural networks
Science Progress · 2025-07-01
Xin Zhang, Yalong Liang, Jiachen Wang, Pan Chen, Pei Li
Read original paper ↗ ·Online Compensation Method for Temperature Measurement Error of Core Outlet Thermocouple
IEEE Transactions on Instrumentation and Measurement · 2026-01-01
Shuwen Zheng, Zihan Yang, Guangzheng Tian, Jinshi Chen, Jianhua Fan
Read original paper ↗ ·Polarization tuning of ferroelectric photocatalysts: From conventional selection to AI-guided design for efficient CO2-to-C1 conversion
Materials Science in Semiconductor Processing · 2026-02-27
Xuehao Wang, Abdul Khader Jilani Saudagar, Dapeng Hong, Lianwei Shan, Badr Alsamani, Jagadeesh Suriyaprakash
Read original paper ↗ ·Machine learning prediction of magnetic properties for Fe-based and Pt-based alloys
European Journal of Materials · 2026-06-11
Svitlana Ponomarova, Oleksandr Ponomarov, Yurii Koval
Read original paper ↗ ·Predicting the electric field-driven evolving hysteresis loop of the NBT ferroelectric via hybrid machine learning and mathematical modelling
Physica B Condensed Matter · 2026-06-17
Abhinav Kumar, Amit Kumar, Sumit Kumar Mev, Amit Kumar, Sumit Kumar Mev, Saket Asthana
Read original paper ↗ ·Prediction of ferroelectric properties of (K,Na)NbO3-based solid solutions with the aid of interpretable descriptors
Modern Electronic Materials · 2026-06-30
Т. S. Ilina, Sofia V. Torianik, Dmitrii S. Zakhidov, Dmitry A. Kiselev
Read original paper ↗ ·Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Advanced Electronic Materials · 2026-07-29
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina
Read original paper ↗ ·