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RESEARCH PAPER · Journal of Physics Energy · 2025

Recent strides in artificial intelligence for predicting thermoelectric properties and materials discovery

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Recent strides in artificial intelligence for predicting thermoelectric properties and materials discoveryOriginalMaterials Informatics Tools to Analyze Crystal Structures: Crystal Structure of the Novel Ternary Indide ErCo2In3Explainable Recommendation Engines to Predict Complex Intermetallics: Synthesis and Characterization of Gd10RuCd3, a Neutron Absorption Material1Prediction of Thermoelectric Properties of Crystalline Materials using Hybrid Model Combining Deep Autoencoder and Random Forest0Development of LLM-assisted data curation tools for the Starrydata materials science database2Pyroelectric and thermoelectric biomaterials and nanomedicine3A critical review on electronic materials properties and multifunctional applications5Functionally graded thermoelectric materials/devices: a review on experimental techniques and computational modelling for performance improvement0Beyond predicted zT: Machine learning strategies for the experimental discovery of thermoelectric materials4A Machine Learning Web Application for Real-Time Thermoelectric Property Predictions0

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  1. Materials Informatics Tools to Analyze Crystal Structures: Crystal Structure of the Novel Ternary Indide ErCo2In

    Integrating materials and manufacturing innovation · 2025-06-01

    Yu. Tyvanchuk, Sangjoon Lee, Volodymyr Babizhetskyy, Volodymyr Smetana, Anja‐Verena Mudring, Mariya V. Dzevenko, Emil I. Jaffal, Balaranjan Selvaratnam, Anton O. Oliynyk

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  2. Explainable Recommendation Engines to Predict Complex Intermetallics: Synthesis and Characterization of Gd10RuCd3, a Neutron Absorption Material

    Journal of the American Chemical Society · 2025-09-26

    Brook Xhabrahimi, Emil I. Jaffal, Danila Shiryaev, Nikhil Kumar Barua, Madison Donohoe, Natalia Pozdnyakova, Mariam Ismail, Balaranjan Selvaratnam, Ehsan Niknam, Holger Kleinke, Anton O. Oliynyk

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  3. Prediction of Thermoelectric Properties of Crystalline Materials using Hybrid Model Combining Deep Autoencoder and Random Forest

    Unknown journal · 2025-10-24

    Fenfen Liu

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  4. Development of LLM-assisted data curation tools for the Starrydata materials science database

    Science and Technology of Advanced Materials Methods · 2025-11-20

    Yukari Katsura, Tomoya MATO, Yu Takada, Eiji Koyama, Dewi Yana, Atsumi Tanaka, Masaya Kumagai

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  5. Pyroelectric and thermoelectric biomaterials and nanomedicine

    Coordination Chemistry Reviews · 2025-12-05

    Shuangshuang Wang, Xiaoshuang Liu, Wei Feng, Xinyue Dai, Yu Chen

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  6. A critical review on electronic materials properties and multifunctional applications

    Discover Materials · 2025-12-26

    Wubshet Getachew Mengesha, Kaveer Nagessar

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  7. Functionally graded thermoelectric materials/devices: a review on experimental techniques and computational modelling for performance improvement

    RSC Advances · 2026-01-01

    Shardul Rai, Abhishek Tewari, Ankit Gupta

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  8. Beyond predicted zT: Machine learning strategies for the experimental discovery of thermoelectric materials

    Artificial Intelligence Chemistry · 2026-03-08

    Shoeb Athar, Philippe Jund

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  9. 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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