BetaCitation Atlas

RESEARCH PAPER · ACS Sustainable Chemistry & Engineering · 2025

Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO3–BiMeO3 Ceramics

Read original paper ↗

See where this research leads.

10 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

Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO3–BiMeO3 CeramicsOriginalCuckoo Search-Deep Neural Network Hybrid Model for Uncertainty Quantification and Optimization of Dielectric Energy Storage in Na1/2Bi1/2TiO3-Based Ceramic Capacitors0Tuning the O p band center in Co3O4 catalysts by Fe doping for Switching lattice Oxygen-Mediated mechanism in Acidic oxygen evolution reaction10Bi(Ni 1/2 Hf 1/2 )O 3 ‐modified BNT‐based ceramics for energy storage capacitors5Interpretable machine learning-assisted discovery of BaTiO 3 -based ceramics with enhanced dielectric constant1Temperature negative self-feedback preventing thermal runaway in lead-free energy-storage ceramics2Data-driven approaches for functional ceramics3High energy storage performance of high-entropy lead-free ceramics via A-site co-doping0Uncertainty-aware multi-source modeling for materials property prediction: A case study in ferroelectrics0Site-selective Ca2+ doping in BaTiO3: Defect chemistry, phase stability, functional response, and machine-learning-assisted design0Machine-Learning-Guided Design of Multi-Phase Ceramics for High-Energy-Storage Applications0

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

10 direct citing papers saved.

  1. Cuckoo Search-Deep Neural Network Hybrid Model for Uncertainty Quantification and Optimization of Dielectric Energy Storage in Na1/2Bi1/2TiO3-Based Ceramic Capacitors

    Computers, materials & continua/Computers, materials & continua (Print) · 2025-01-01

    Shige Wang, Yalong Liang, Lian Huang, Pei Li

    Read original paper ↗ ·
  2. Tuning the O p band center in Co3O4 catalysts by Fe doping for Switching lattice Oxygen-Mediated mechanism in Acidic oxygen evolution reaction

    Fuel · 2025-10-23

    Yangshuo Liu, Yaotian Yan, Feiyu Xu, Liang Qiao, Jiehe Sui, Wei Cai, Xiaohang Zheng

    Read original paper ↗ ·
  3. Bi(Ni 1/2 Hf 1/2 )O 3 ‐modified BNT‐based ceramics for energy storage capacitors

    Journal of the American Ceramic Society · 2025-11-02

    Dongxu Li, Yan Li, Zong‐Yang Shen, Z.W. Li, Jiamou Wu, You Zhang, Biao Wu, Wenqin Luo

    Read original paper ↗ ·
  4. Interpretable machine learning-assisted discovery of BaTiO 3 -based ceramics with enhanced dielectric constant

    Journal of Materials Chemistry C · 2026-01-01

    J X Liu, Hua Hao, Xingzhong Liu, Jiahao Tian, Bangzhi Peng, Chunze Wei, Jinglong Fan, Hanxing Liu

    Read original paper ↗ ·
  5. Temperature negative self-feedback preventing thermal runaway in lead-free energy-storage ceramics

    Applied Physics Letters · 2026-03-16

    Guitian Lan, Longwen Wu, Xiaohui Wang, Shenli Jia

    Read original paper ↗ ·
  6. 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 ↗ ·
  7. High energy storage performance of high-entropy lead-free ceramics via A-site co-doping

    Journal of Materials Science Materials in Electronics · 2026-04-01

    Nianshun Zhao, Juan Hu, Sha Lu, Qin Gao, Liujin Chang, Xinyuan Wang, Shubo Zhang, Shoucheng Tong, Jiale Li

    Read original paper ↗ ·
  8. 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 ↗ ·
  9. Site-selective Ca2+ doping in BaTiO3: Defect chemistry, phase stability, functional response, and machine-learning-assisted design

    Emergent Materials · 2026-09-23

    Raz Muhammad, Asif Ali

    Read original paper ↗ ·
  10. Machine-Learning-Guided Design of Multi-Phase Ceramics for High-Energy-Storage Applications

    Journal of Alloys and Compounds · 2026-10-01

    Cheng Qian, Jun Wang, Haipeng Huang, Xiaolan Yang

    Read original paper ↗ ·