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RESEARCH PAPER · Inorganics · 2023

Machine Learning-Based Predictions for Half-Heusler Phases

Kaja Bilińska, Maciej J. Winiarski

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

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Machine Learning-Based Predictions for Half-Heusler PhasesOriginalMachine Learning-Based Predictions of Power Factor for Half-Heusler Phases5Machine learning for next-generation thermoelectrics16Advances in Thermoelectric Materials—Bridging the Gap Between Discovery and Application2Machine learning based prediction of specific heat capacity for half-Heusler compounds3Machine learning investigation of chemical disorder effects in 24-valence-electron full-Heusler alloys with single magnetic element3Machine Learning Phase Classification of Thermoelectric Materials1Ab initio study of the vanadium-based half Heusler alloys VRh Z ( Z = Ge , Si , Sn ) as potential thermoelectric materials2Band gap engineering and physical properties of half heusler alloy ScNiSb: A DFT insights1First-principles study of half Heusler XIrPb (X= V, Nb, Ta) for energy applications1Impact of spin–orbit coupling on structural, mechanical, electronic, thermoelectric and thermodynamic properties of VIr-based half-Heusler compounds: Ab initio study4Predicted low lattice thermal conductivity, high thermoelectric figure of merit, and mechanical and dynamical stability of HfPdSn1

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11 direct citing papers saved.

  1. Machine Learning-Based Predictions of Power Factor for Half-Heusler Phases

    Crystals · 2024-04-09

    Kaja Bilińska, Maciej J. Winiarski

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  2. Machine learning for next-generation thermoelectrics

    Materials Today Energy · 2024-09-30

    Kıvanç Sağlık, Siddharth Srinivasan, Varsha Victor, Xizu Wang, Wei Zhang, Qingyu Yan

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  3. Advances in Thermoelectric Materials—Bridging the Gap Between Discovery and Application

    Inorganics · 2024-10-31

    Marco Fronzi, Paolo Mele, Giovanna Latronico

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  4. Machine learning based prediction of specific heat capacity for half-Heusler compounds

    AIP Advances · 2025-01-01

    Laxman Chaudhary, Keshab Chaudhary, Ambika Shahi, Kedar Nath Jaiswal, Dipendra Prasad Kalauni, Se‐Hun Kim, Madhav Prasad Ghimire

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  5. Machine learning investigation of chemical disorder effects in 24-valence-electron full-Heusler alloys with single magnetic element

    Journal of Magnetism and Magnetic Materials · 2025-07-04

    Yanqi Guo, Chaokun Guo, Yuanji Xu, Bing Zheng, Xiaodong Ni, Fuyang Tian

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  6. Machine Learning Phase Classification of Thermoelectric Materials

    Materials · 2025-10-15

    Chung Ting Ma, S. J. Poon

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  7. Ab initio study of the vanadium-based half Heusler alloys VRh Z ( Z = Ge , Si , Sn ) as potential thermoelectric materials

    Physical review. B./Physical review. B · 2025-10-24

    Winfred M. Mulwa, Mark Pederson, Eunja Kim, Bernard Aduda

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  8. Band gap engineering and physical properties of half heusler alloy ScNiSb: A DFT insights

    Physica B Condensed Matter · 2025-11-06

    Muhammad Ashraf, Ahmad Afaq, Abu Bakar

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  9. First-principles study of half Heusler XIrPb (X= V, Nb, Ta) for energy applications

    Chemical Physics · 2025-11-28

    Govinda Gaire, Nabin Regmi, Kashi Ram Panday, Prakash Khatri, Narayan Prasad Adhikari

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  10. Impact of spin–orbit coupling on structural, mechanical, electronic, thermoelectric and thermodynamic properties of VIr-based half-Heusler compounds: Ab initio study

    Materials Today Communications · 2025-12-02

    Fatima Sidjilani, Fadila Belkharroubi, Yarub Al-Douri, F. Hamdache, Friha Khelfaoui, H. Benaissa, Mokhtar Bourdim, Toufik Nouri, Samia Bahlouli, Sid Ahmed Bendella, Anis Samy Amine Dib

    Read original paper ↗ ·

  11. Predicted low lattice thermal conductivity, high thermoelectric figure of merit, and mechanical and dynamical stability of HfPdSn

    Functional Materials Letters · 2026-01-01

    Mansour Benidris

    Read original paper ↗ ·
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