Sustainable Thermoelectric Materials Predicted by Machine Learning-Reference-Cited by-同舟云学术

Sustainable Thermoelectric Materials Predicted by Machine Learning

Author:

Chernyavsky Dmitry¹^ORCID,van den Brink Jeroen¹²,Park Gyu‐Hyeon¹,Nielsch Kornelius¹³⁴,Thomas Andy¹⁵

Affiliation:

1. Leibniz Institute of Solid State and Materials Science (IFW Dresden) Helmholtzstr. 20 01069 Dresden Germany

2. Institute for Theoretical Physics and Würzburg‐Dresden Cluster of Excellence ct.qmat Technische Universität Dresden 01069 Dresden Germany

3. Technische Universität Dresden Institute of Applied Physics D‐01062 Dresden Germany

4. Technische Universität Dresden Institute of Materials Science D‐01062 Dresden Germany

5. Technische Universität Dresden Institut für Festkörper‐ und Materialphysik 01062 Dresden Germany

Funder

Alexander von Humboldt-Stiftung

Publisher

Wiley

Subject

Multidisciplinary,Modeling and Simulation,Numerical Analysis,Statistics and Probability

Link

Reference49 articles.

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