Data-driven Modeling of Elevated Temperature Properties of Single and Polycrystalline Refractory High Entropy Alloys

Presentation information

Oral Session

A. New Materials Methodology for Next-Generation » [A-2] Materials Integration: Prediction and Design for Structural Materials through Data Science

[A2-O5] Slot 05

Tue. Dec 14, 2021 4:00 PM - 6:00 PM Room P (G317)

Chair: Manabu Enoki (The University of Tokyo)

4:00 PM - 4:25 PM

*Anssi Laukkanen¹, Tatu Pinomaa¹, Matti Lindroos¹, Tom Andersson¹, Tomi Suhonen¹ (1. VTT Technical Research Centre of Finland (Finland))

Keywords:deep learning, multiscale modeling, refractory high entropy alloys, material design

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