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RESEARCH PAPER · International Journal of Quantum Chemistry · 2021

Machine learning prediction of the optimal carrier concentration and band gap of quaternary thermoelectric materials via element feature descriptors

Zhongyu Wan, Quan‐De Wang, Dongchang Liu, Jinhu Liang

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

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42 direct citing works

Machine learning prediction of the optimal carrier concentration and band gap of quaternary thermoelectric materials via element feature descriptorsOriginalBandgap analysis of transition-metal dichalcogenide and oxide via machine learning approach15Large Data Set-Driven Machine Learning Models for Accurate Prediction of the Thermoelectric Figure of Merit36A Critical Review of Machine Learning Techniques on Thermoelectric Materials66Artificial Intelligence for Learning Material Synthesis Processes of Thermoelectric Materials21Bandgap prediction of non-metallic crystals through machine learning approach1Advancements in thermoelectric materials: Emerging trends in organic, inorganic systems, and material informatics12Machine learning for predictive design and optimization of high-performance thermoelectric materials: a review13A review of machine learning approaches for the discovery of thermoelectric materials3Decoding the ZT optimization of BiCuSeO thermoelectrics via interpretable machine learning4High throughput generation of high- zT thermoelectrics with precise stoichiometric controls1Searching for high-performance thermoelectric materials via an advanced machine learning framework0Machine learning-accelerated discovery and optimization of thermoelectric materials for energy conversion0

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  1. Bandgap analysis of transition-metal dichalcogenide and oxide via machine learning approach

    Journal of Physics and Chemistry of Solids · 2022-08-31

    Upendra Kumar, Km Arti Mishra, Ajay Kushwaha, Sung Beom Cho

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  2. Large Data Set-Driven Machine Learning Models for Accurate Prediction of the Thermoelectric Figure of Merit

    ACS Applied Materials & Interfaces · 2022-12-06

    Yi Li, Jingzi Zhang, Ke Zhang, Mengkun Zhao, Kailong Hu, Xi Lin

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  3. 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

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  4. Artificial Intelligence for Learning Material Synthesis Processes of Thermoelectric Materials

    Chemistry of Materials · 2023-09-21

    Gyoung S. Na

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  5. Bandgap prediction of non-metallic crystals through machine learning approach

    Journal of Physics Condensed Matter · 2024-03-27

    Sadhana Barman, Harkishan Dua, Utpal Sarkar

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  6. Advancements in thermoelectric materials: Emerging trends in organic, inorganic systems, and material informatics

    Journal of Alloys and Compounds · 2025-05-01

    Satheesh Soumya, K.S. Fatima, S. Lekshmi, S. Govindan Namboothiri, P.K. Krishnapriya, Varsha Arun Shreya, V. K. Harikrishnan, A. Chithra Mohan, Hyunjin Joh, Janardhanan R. Rani, Lokesh Singh Panwar, K. M. Sreedhar, P. Jayakumar, Shibnath Samanta, Ji Young Jo, Gopinathan Anoop

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  7. Machine learning for predictive design and optimization of high-performance thermoelectric materials: a review

    Journal of Materials Informatics · 2025-06-24

    Yuelin Wang, Chengquan Zhong, Jingzi Zhang, Jiakai Liu, Kailong Hu, Junjie Chen, Xi Lin

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  8. A review of machine learning approaches for the discovery of thermoelectric materials

    Advances in Physics X · 2025-07-27

    Övgü Ceyda Yelgel, Celal Yelgel

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  9. Decoding the ZT optimization of BiCuSeO thermoelectrics via interpretable machine learning

    Chemical Engineering Science · 2025-11-14

    Yunzhuo Zhang, Shulin Bai, Da Wan, Peng Ai, Pengfei Zhang, Zhiwei Zhang, Yujie Bao, Zhanpeng Xu, Shuwei Tang

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  10. High throughput generation of high- zT thermoelectrics with precise stoichiometric controls

    Nanoscale · 2026-01-01

    Yuelin Wang, Chengquan Zhong, Jingzi Zhang, Kailong Hu, J C Chen, Xi Lin

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  11. Searching for high-performance thermoelectric materials via an advanced machine learning framework

    Cell Reports Physical Science · 2026-02-01

    Yuqing Sun, Xiaorui Chen, Jianzhi Gao, Wenliang Zhu, Minghu Pan

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  12. Machine learning-accelerated discovery and optimization of thermoelectric materials for energy conversion

    Applied Energy · 2026-09-22

    Siyu Han, Yucheng Lin, Naihua Miao, Yu Shu, Zhen Li, Linggang Zhu, Jian Xin Zhou, Zhimei Sun

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