BetaCitation Atlas

RESEARCH PAPER · Materials Today Energy · 2022

Data-driven discovery of high-performance multicomponent solid solution thermoelectric materials

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

Data-driven discovery of high-performance multicomponent solid solution thermoelectric materialsOriginalA Critical Review of Machine Learning Techniques on Thermoelectric Materials66Machine learning aided accelerated prediction and experimental validation of functional properties of K1-xNaxNbO3-based piezoelectric ceramics18Global sensitivity analysis and optimization of a multistage thermoelectric generator based on failure probability3Machine-learning guided prediction of thermoelectric properties of topological insulator Bi 2 Te 3− x Se x26A nanoscale perspective of the coexistence of multidimensional defects in the AgCuTe system15High-Entropy Engineering in Thermoelectric Materials: A Review27Spatio-temporal strain analysis and thermal transport modulation in plastically deformed InSe van der Waals crystals3The current research status and prospects of AI in chemical science11Dual-objective optimization of lithium metal battery electrolytes via machine learning9Review of high-entropy thermoelectric materials: Design, synthesis, characterization, and properties5

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. A Critical Review of Machine Learning Techniques on Thermoelectric Materials

    The Journal of Physical Chemistry Letters · 2023-02-10

    Xiangdong Wang, Ye Sheng, Jinyan Ning, Jinyang Xi, Lili Xi, Di Qiu, Jiong Yang, Xuezhi Ke

    Read original paper ↗ ·
  2. Machine learning aided accelerated prediction and experimental validation of functional properties of K1-xNaxNbO3-based piezoelectric ceramics

    Materials Today Energy · 2023-08-28

    Srujan Sapkal, Balasubramanian Kandasubramanian, Prashant Dixit, Himanshu Sekhar Panda

    Read original paper ↗ ·
  3. Global sensitivity analysis and optimization of a multistage thermoelectric generator based on failure probability

    Energy Reports · 2023-11-01

    Feng Zhang, Weiyue Wang, Jiajia Zhang, Ruijie Du, Xinhe Wang, Zhongbing Liu

    Read original paper ↗ ·
  4. Machine-learning guided prediction of thermoelectric properties of topological insulator Bi 2 Te 3− x Se x

    Journal of Materials Chemistry C · 2024-01-01

    K E Vipin, Prahallad Padhan

    Read original paper ↗ ·
  5. A nanoscale perspective of the coexistence of multidimensional defects in the AgCuTe system

    Nano Energy · 2024-03-15

    Xinpeng Luan, Jianbo Li, Shipeng Wu, Guibin Zhang, Hexige Wuliji, Jun Wang

    Read original paper ↗ ·
  6. High-Entropy Engineering in Thermoelectric Materials: A Review

    Crystals · 2024-04-30

    Subrata Ghosh, Lavanya Raman, Soumya Sridar, Wenjie Li

    Read original paper ↗ ·
  7. Spatio-temporal strain analysis and thermal transport modulation in plastically deformed InSe van der Waals crystals

    Materials Today Energy · 2024-05-09

    Yupeng Ma, Zhenyu Pan, Yifei Liu, Kunpeng Zhao, Jie Xiao, Donguk Nam, Tian‐Ran Wei, Xun Shi

    Read original paper ↗ ·
  8. The current research status and prospects of AI in chemical science

    Progress in Natural Science Materials International · 2024-08-27

    Minghao Yuan, Qinglang Guo, Yingxue Wang

    Read original paper ↗ ·
  9. Dual-objective optimization of lithium metal battery electrolytes via machine learning

    Materials Today Energy · 2025-05-06

    Jiayi Zhang, Debanjan Sarker, Matthew Beltran, Xiang Yu, Cormac Toher, Laisuo Su

    Read original paper ↗ ·
  10. Review of high-entropy thermoelectric materials: Design, synthesis, characterization, and properties

    Journal of Alloys and Compounds · 2025-10-12

    Suwei Li, Ruizhi Zhang, Michael John Reece

    Read original paper ↗ ·