BetaCitation Atlas

RESEARCH PAPER · ACS Applied Materials & Interfaces · 2020

Knowledge-Based Descriptor for the Compositional Dependence of the Phase Transition in BaTiO3-Based Ferroelectrics

Ruihao Yuan, Deqing Xue, Deqing Xue, Dezhen Xue, Dezhen Xue, Jinshan Li, Xiangdong Ding, Jun Sun, Turab Lookman

Read original paper ↗

See where this research leads.

22 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Knowledge-Based Descriptor for the Compositional Dependence of the Phase Transition in BaTiO3-Based FerroelectricsOriginalDisentangling the effect of doping chemistry on the energy storage properties of barium titanate ferroelectrics using data science tools12Optimizing Electrocaloric Effect in Barium Titanate-Based Room Temperature Ferroelectrics: Combining Landau Theory, Machine Learning and Synthesis34Machine learning combined with feature engineering to search for BaTiO3 based ceramics with large piezoelectric constant45Recent progress in the machine learning-assisted rational design of alloys69Machine Learning Assisted Prediction of Microstructures and Young’s Modulus of Biomedical Multi-Component β-Ti Alloys21An interpretable machine learning strategy for pursuing high piezoelectric coefficients in (K0.5Na0.5)NbO3-based ceramics52AI for dielectric capacitors16Compositional design of compounds with elements not in training data using supervised learning1Recent progress on machine learning with limited materials data: Using tools from data science and domain knowledge31Machine learning-assisted design of CaBi2Nb2O9-based ceramics with high piezoelectricity and thermal stability8A knowledge‐based materials descriptor for compositional dependence of phase transformation in NiTi shape memory alloys5AI4Materials: Transforming the landscape of materials science and enigneering25Machine learning-enabled design of ferroelectrics with multiple properties via a Landau model13Giant Capacitive Energy‐Storage in BaTiO 3 ‐Based Fine‐Grained Relaxors via Local Polarization Enhancement29Machine learning assisted composition design of high-entropy Pb-free relaxors with giant energy-storage52Generalizable descriptors for automatic titanium alloys design by learning from texts via large language model21Limitations of theory-informed machine learning algorithms for the prediction and exploration of molecular properties: Solvation free energy as a case study3Interpretable Machine Learning for the Design of (K, Na)NbO 3 -Based Piezoceramics Using Combinatorial and Knowledge-Embedded Descriptors3Data-driven approaches for functional ceramics3An interpretable machine learning framework for predicting Curie temperature of lead-based piezoelectric ceramics2Uncertainty-aware multi-source modeling for materials property prediction: A case study in ferroelectrics0Uncertainty-Aware Automated Machine-Learning Screening of BaTiO3‐Bi(Mg1/2Ti1/2)O3 Candidate Ceramics for X9R Temperature Stability0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

22 direct citing papers saved.

  1. Disentangling the effect of doping chemistry on the energy storage properties of barium titanate ferroelectrics using data science tools

    Journal of Materials Chemistry C · 2022-01-01

    Ruihao Yuan, Deqing Xue, Jinshan Li, Dezhen Xue, Turab Lookman

    Read original paper ↗ ·

  2. Optimizing Electrocaloric Effect in Barium Titanate-Based Room Temperature Ferroelectrics: Combining Landau Theory, Machine Learning and Synthesis

    Acta Materialia · 2022-01-01

    Ruihao Yuan, Zhen Liu, Yangyang Xu, Ruowei Yin, Jingjin He, Yang Bai, Yumei Zhou, Jinshan Li, Dezhen Xue, Turab Lookman

    Read original paper ↗ ·

  3. Machine learning combined with feature engineering to search for BaTiO3 based ceramics with large piezoelectric constant

    Journal of Alloys and Compounds · 2022-03-12

    Ruihao Yuan, Deqing Xue, Yangyang Xu, Dezhen Xue, Jinshan Li

    Read original paper ↗ ·

  4. Recent progress in the machine learning-assisted rational design of alloys

    International Journal of Minerals Metallurgy and Materials · 2022-04-01

    Huadong Fu, Hong‐Tao Zhang, Changsheng Wang, Wei Yong, Jianxin Xie

    Read original paper ↗ ·

  5. Machine Learning Assisted Prediction of Microstructures and Young’s Modulus of Biomedical Multi-Component β-Ti Alloys

    Metals · 2022-05-05

    Xingjun Liu, Qinghua Peng, Shaobin Pan, Jingtao Du, Shuiyuan Yang, Jiajia Han, Yong Lu, Jinxin Yu, Cuiping Wang

    Read original paper ↗ ·

  6. An interpretable machine learning strategy for pursuing high piezoelectric coefficients in (K0.5Na0.5)NbO3-based ceramics

    npj Computational Materials · 2023-12-22

    Bowen Ma, Xiao Wu, Chunlin Zhao, Cong Lin, Min Tian Gao, Baisheng Sa, Zhimei Sun

    Read original paper ↗ ·

  7. AI for dielectric capacitors

    Energy storage materials · 2024-07-01

    Run‐Lin Liu, Jian Wang, Zhong-Hui Shen, Yang Shen

    Read original paper ↗ ·

  8. Compositional design of compounds with elements not in training data using supervised learning

    Journal of Materiomics · 2024-07-14

    Jingjin He, Ruowei Yin, Changxin Wang, Chuanbao Liu, Dezhen Xue, Yanjing Su, Lijie J. Qiao, Turab Lookman, Yang Bai

    Read original paper ↗ ·

  9. Recent progress on machine learning with limited materials data: Using tools from data science and domain knowledge

    Journal of Materiomics · 2024-07-26

    Bangtan Zong, Jinshan Li, Tinghuan Yuan, Jun Wang, Ruihao Yuan

    Read original paper ↗ ·

  10. Machine learning-assisted design of CaBi2Nb2O9-based ceramics with high piezoelectricity and thermal stability

    Ceramics International · 2024-11-27

    Ailin Li, Chengwen Bin, Xu Hou, Luocheng Liao, Yunya Liu, Bo Wang, Jie Wang

    Read original paper ↗ ·

  11. A knowledge‐based materials descriptor for compositional dependence of phase transformation in NiTi shape memory alloys

    Materials Genome Engineering Advances · 2024-12-11

    Cheng Li, Qingkai Liang, Yumei Zhou, Dezhen Xue

    Read original paper ↗ ·

  12. AI4Materials: Transforming the landscape of materials science and enigneering

    Review of Materials Research · 2025-01-01

    Xue Feng Jiang, Dezhen Xue, Yang Bai, William Yi Wang, Jianjun Liu, Mingli Yang, Yanjing Su

    Read original paper ↗ ·

  13. Machine learning-enabled design of ferroelectrics with multiple properties via a Landau model

    Acta Materialia · 2025-01-25

    Ruihao Yuan, Bo Wang, Jinshan Li, Peng Sun, Zhen Liu, Xiangdong Ding, Dezhen Xue, Turab Lookman

    Read original paper ↗ ·

  14. Giant Capacitive Energy‐Storage in BaTiO 3 ‐Based Fine‐Grained Relaxors via Local Polarization Enhancement

    Advanced Materials · 2025-01-26

    Yige Chen, Zhentao Zhu, Li‐Feng Zhu, Juping Xu, Huajie Luo, Hao Li, Wen Yin, Laijun Liu, Ji Zhang, Hui Liu, Jun Chen

    Read original paper ↗ ·

  15. Machine learning assisted composition design of high-entropy Pb-free relaxors with giant energy-storage

    Nature Communications · 2025-02-01

    Xingcheng Wang, Ji Zhang, Xiaohan Ma, Huajie Luo, Laijun Liu, Hui Liu, Jun Chen

    Read original paper ↗ ·

  16. Generalizable descriptors for automatic titanium alloys design by learning from texts via large language model

    Acta Materialia · 2025-07-02

    Ping Wang, Yuan Jiang, Weijie Liao, Rong Wang, Minjie Lai, Hongchao Kou, Xiubing Liang, Jinshan Li, Turab Lookman, Ruihao Yuan

    Read original paper ↗ ·

  17. Limitations of theory-informed machine learning algorithms for the prediction and exploration of molecular properties: Solvation free energy as a case study

    APL Machine Learning · 2025-07-29

    Jeffrey G. Ethier, Andrew S. Paluch, Vikas Varshney

    Read original paper ↗ ·

  18. Interpretable Machine Learning for the Design of (K, Na)NbO 3 -Based Piezoceramics Using Combinatorial and Knowledge-Embedded Descriptors

    ACS Applied Materials & Interfaces · 2025-10-14

    Heng Hu, Bin Wang, Didi Zhang, Kang Yan, Tao Tan, Dawei Wu

    Read original paper ↗ ·

  19. Data-driven approaches for functional ceramics

    Materials Science and Engineering R Reports · 2026-04-01

    Jincheng Qin, Faqiang Zhang, Mingsheng Ma, Yongxiang Li, Zhifu Liu

    Read original paper ↗ ·

  20. An interpretable machine learning framework for predicting Curie temperature of lead-based piezoelectric ceramics

    Journal of Materiomics · 2026-04-25

    Zi Wang, Chenbo Zhang, Fei Li

    Read original paper ↗ ·

  21. Uncertainty-aware multi-source modeling for materials property prediction: A case study in ferroelectrics

    Physical Review Materials · 2026-07-29

    Bo Wang, Yuehui Xian, Yumei Zhou, Dezhen Xue, Yangyang Xu

    Read original paper ↗ ·

  22. Uncertainty-Aware Automated Machine-Learning Screening of BaTiO3‐Bi(Mg1/2Ti1/2)O3 Candidate Ceramics for X9R Temperature Stability

    Journal of Electronic Materials · 2026-09-21

    Qiuxue Guo, Zening Wang, Pinquan Qin, Chuanbin Wang, Guoqiang Luo, Shaowen Cao

    Read original paper ↗ ·
Citation Atlas · A map of research, not a ranking.