Data-driven Design of Eco-friendly Thermoelectric High Entropy Sulfides

Abstract

High entropy compounds with compositional complexity can be designed which may provide new high performance thermoelectric materials. To overcome the combinatorial explosion problem in their design, a data driven model was... [ view full abstract ]

Authors

  1. Ruizhi Zhang (School of Engineering and Materials Science, Queen Mary University of London)
  2. Francesco Gucci (School of Engineering and Materials Science, Queen Mary University of London)
  3. Hongyu Zhu (School of Engineering and Materials Science, Queen Mary University of London)
  4. Kan Chen (School of Engineering and Materials Science, Queen Mary University of London)
  5. Michael J. Reece (School of Engineering and Materials Science, Queen Mary University of London)

Topic Area

Thermoelectrics

Session

PS-3A » Poster Session 3 - Symposium A (17:00 - Wednesday, 11th July, Foyer)

Presentation Files

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Additional Information

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