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

Shoeb Athar, Philippe Jund

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DOI: 10.1016/j.aichem.2026.100113
Published: 2026-06
Container: Artificial Intelligence Chemistry
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.aichem.2026.100113,
  title = {Beyond predicted zT: Machine learning strategies for the experimental discovery of thermoelectric materials},
  author = {Shoeb Athar and Philippe Jund},
  year = {2026},
  journal = {Artificial Intelligence Chemistry},
  doi = {10.1016/j.aichem.2026.100113},
  url = {https://doi.org/10.1016/j.aichem.2026.100113}
}

RIS

TY  - JOUR
TI  - Beyond predicted zT: Machine learning strategies for the experimental discovery of thermoelectric materials
AU  - Shoeb Athar
AU  - Philippe Jund
PY  - 2026
JO  - Artificial Intelligence Chemistry
DO  - 10.1016/j.aichem.2026.100113
UR  - https://doi.org/10.1016/j.aichem.2026.100113
ER  -

APA

Athar, S., & Jund, P. (2026). Beyond predicted zT: Machine learning strategies for the experimental discovery of thermoelectric materials. Artificial Intelligence Chemistry. https://doi.org/10.1016/j.aichem.2026.100113

Source records

crossref · retrieved 2026-09-25T15:11:34.290Z