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RESEARCH PAPER · APL Materials · 2023

TEXplorer.org: Thermoelectric material properties data platform for experimental and first-principles calculation results

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

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42 direct citing works

TEXplorer.org: Thermoelectric material properties data platform for experimental and first-principles calculation resultsOriginalAssessing thermoelectric performance of quasi 0D carbon and polyaniline nanocomposites using machine learning21https://2DMat.ChemDX.org: Experimental data platform for 2D materials from synthesis to physical properties7The MatHub‐3d first‐principles repository and the applications on thermoelectrics37SnSe : The rise of the ultrahigh thermoelectric performance material28Role of Bi/Te co-dopants on the thermoelectric properties of SnSe polycrystals: an experimental and theoretical investigation10MACHINE LEARNING IN NANOSCALE THERMAL TRANSPORT2Advances in theory and computational methods for next-generation thermoelectric materials9Large language model-driven database for thermoelectric materials13Starrydata: from published plots to shared materials data12Beyond Tellurides: Lead Selenide as a High Efficiency Thermoelectric Material for Power Generation and Solid-State Cooling4Exploring materials data through collaboration: 2024 KRICT ChemDX Hackathon0Hierarchical chemical and microstructural engineering for high thermoelectric performance polycrystalline SnSe, triply incorporated with Na, Ge, and Ta atoms3LLM-based AI agents for automated extraction of material properties and structural features6A Machine Learning Web Application for Real-Time Thermoelectric Property Predictions0A comprehensive review of thermoelectric power generators: Advances in material discovery, structural optimization for performance enhancement, and service life stability0Machine learning-accelerated discovery and optimization of thermoelectric materials for energy conversion0

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16 direct citing papers saved.

  1. Assessing thermoelectric performance of quasi 0D carbon and polyaniline nanocomposites using machine learning

    Advanced Composite Materials · 2023-10-04

    Sergio Arroyo Armida, Dariush Ebrahimibagha, Mallar Ray, Shubhabrata Datta

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  2. https://2DMat.ChemDX.org: Experimental data platform for 2D materials from synthesis to physical properties

    Digital Discovery · 2024-01-01

    Jin‐Hoon Yang, Habin Kang, Hyuk Jin Kim, Taeho Kim, Heonsu Ahn, Tae Gyu Rhee, Yeong Gwang Khim, Byoung Ki Choi, Moon‐Ho Jo, Hyunju Chang, Jonghwan Kim, Young Jun Chang, Yea‐Lee Lee

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  3. The MatHub‐3d first‐principles repository and the applications on thermoelectrics

    Materials Genome Engineering Advances · 2024-01-24

    Lu Liu, Mingjia Yao, Yuxiang Wang, Yeqing Jin, Jialin Ji, Huifang Luo, Yan Cao, Yifei Xiong, Ye Sheng, Xin Li, Di Qiu, Lili Xi, Jinyang Xi, Wenqing Zhang, Lidong Chen, Jiong Yang

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  4. SnSe : The rise of the ultrahigh thermoelectric performance material

    Bulletin of the Korean Chemical Society · 2024-01-29

    Taeshik Kim, Hyungseok Lee, In Jae Chung

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  5. Role of Bi/Te co-dopants on the thermoelectric properties of SnSe polycrystals: an experimental and theoretical investigation

    Journal of Materials Science · 2024-07-01

    Manasa R. Shankar, Ashwatha Narayana Prabhu, Anuradha M. Ashok, Nithya Davis, Bhuvanesh Srinivasan, Vikash Mishra

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  6. MACHINE LEARNING IN NANOSCALE THERMAL TRANSPORT

    Annual Reviews of Heat Transfer · 2025-01-01

    Yuhan Liu, Sobin Alosious, Jiahang Zhou, Meng Jiang, Tengfei Luo

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  7. Advances in theory and computational methods for next-generation thermoelectric materials

    Applied Physics Reviews · 2025-03-01

    Junsoo Park, Alex M. Ganose, Yi Xia

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  8. Large language model-driven database for thermoelectric materials

    Computational Materials Science · 2025-03-30

    Suman Itani, Yibo Zhang, Jiadong Zang

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  9. Starrydata: from published plots to shared materials data

    Science and Technology of Advanced Materials Methods · 2025-05-20

    Yukari Katsura, Masaya Kumagai, Tomoya MATO, Yu Takada, Yuki Ando, Erina Fujita, Fumikazu Hosono, Eiji Koyama, Farhan Mudasar, Phuong Thanh Ton Nu, Naoto Saito, Yoshihiro Sakamoto, Atsumi Tanaka, Dewi Yana, Kaoru Kimura, Koji Tsuda, Masahiko Demura

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  10. Beyond Tellurides: Lead Selenide as a High Efficiency Thermoelectric Material for Power Generation and Solid-State Cooling

    ACS Applied Energy Materials · 2025-07-10

    Ziling Yuan, Sejin Byun, Bangzhi Ge, Chongjian Zhou, In Jae Chung

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  11. Exploring materials data through collaboration: 2024 KRICT ChemDX Hackathon

    Journal of Materials Informatics · 2025-11-20

    Su‐Hyun Yoo, Andre K. Y. Low, Jose Recatala‐Gomez, Harikrishna Sahu, Chiho Kim, Joonyoung F. Joung, Hoje Chun, Katerina A. Christofidou, Joshua Berry, Michail Minotakis, Kisung Kang, Kwang-soo Kim, Gaheun Shin, Hyunwoo Jang, Sanghyuk Lee, Minkyu Park, B. S. Kim, Kihyun Shin, Jungho Shin, Aloysius Soon, Joshua Schrier, Woosun Jang

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  12. Hierarchical chemical and microstructural engineering for high thermoelectric performance polycrystalline SnSe, triply incorporated with Na, Ge, and Ta atoms

    Journal of Solid State Chemistry · 2026-01-20

    Taeshik Kim, Kwonmin Song, Kwangjoo Kim, Jino Kim, Insub Lee, Hoon Wee, Youngdeog Koh, In Chung

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  13. LLM-based AI agents for automated extraction of material properties and structural features

    Computational Materials Science · 2026-01-21

    Soumya Shankar Ghosh, Abhishek Tewari

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  14. A Machine Learning Web Application for Real-Time Thermoelectric Property Predictions

    ACS Omega · 2026-08-01

    Nikhil Kumar Barua, Vineeth Salla, Holger Kleinke

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  15. A comprehensive review of thermoelectric power generators: Advances in material discovery, structural optimization for performance enhancement, and service life stability

    Renewable and Sustainable Energy Reviews · 2026-09-11

    Wabi Demeke, Junhyeong Lee, Inhyo Lee, Byungki Ryu, Seunghwa Ryu

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  16. 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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