Query-and-Learn Machine Learning framework in modeling the stability mechanism of SmFe<sub>12</sub> magnets

Duong Nguyen NGUYEN

Presentation information

Poster Session

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

[A2-PR15] Slot 15

Tue. Dec 14, 2021 6:30 PM - 8:30 PM A2-PR15 (G403-404)

6:30 PM - 8:30 PM

[A2-PR15-01] Query-and-Learn Machine Learning framework in modeling the stability mechanism of SmFe₁₂ magnets

*Duong Nguyen NGUYEN¹, Takashi Miyake^2,3, Hirori Kino³, Hieu Chi Dam¹ (1. Japan Advanced Institute of Science and Technology (Japan), 2. CD-FMat, AIST, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568 (Japan), 3. ESICMM, National Institute for Materials Science 1-2-1 Sengen, Tsukuba, Ibaraki 305-0047 (Japan))

Keywords:SmFe12, Active Learning, Metric Learning

Please log in with your participant account.
» Participant Log In

Presentation information

[A2-PR15] Slot 15

[A2-PR15-01] Query-and-Learn Machine Learning framework in modeling the stability mechanism of SmFe12 magnets

[A2-PR15-01] Query-and-Learn Machine Learning framework in modeling the stability mechanism of SmFe₁₂ magnets