Processing Optimization and Property Predictions of Hot‐Extruded Bi–Te–Se Thermoelectric Materials via Machine Learning
Author:
Affiliation:
1. Department of Mechanical and Aerospace EngineeringTottori University Koyama‐Minami 4‐101 Tottori 680‐8552 Japan
2. Department of Materials Science and EngineeringNagoya University Furou‐cho, Chikusa‐ku Nagoya 464‐8601 Japan
Funder
Nippon Sheet Glass Foundation for Materials Science and Engineering
Publisher
Wiley
Subject
Multidisciplinary,Modelling and Simulation,Numerical Analysis,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.201900197
Reference33 articles.
1. Microstructural refinement of cast p-type Bi2Te3–Sb2Te3 by equal channel angular extrusion
2. Compound tellurides and their alloys for peltier cooling—A review
3. Microstructure and Thermoelectric Properties of P-Type Bi0.5Sb0.5Te0.5 Compounds Fabricated by Hot Pressing and Hot Extrusion
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