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Predictive screening for thermoelectric properties using atomic-scale simulations and machine learning tools

Category

Academic lecture

Client

  • Notur/NorStore / nn2615k
  • Research Council of Norway (RCN) / 314778

Language

English

Author(s)

  • Ole Martin Løvvik
  • Matthias Schrade
  • Øven Andreas Grimenes
  • Rasmus André Tranås
  • Kristian Berland

Affiliation

  • University of Oslo
  • SINTEF Industry / Sustainable Energy Technology
  • Norwegian University of Life Sciences

Presented at

Invited online talk at The Leibniz Institute for Solid State and Materials Research (IWF), Dresden, Germany

Place

Dresden, Online

Date

03.05.2022 - 03.05.2022

Organizer

Institute for Metallic Materials, IWF

Year

2022

View this publication at Cristin