Materials Research Meeting 2021

Presentation information

Print

Oral Session

A. New Materials Methodology for Next-Generation » [A-1] STAM Methods: Leading-Edge Methods for New Materials

[A1-O5] Slot 05

Tue. Dec 14, 2021 3:55 PM - 6:00 PM Room A (G401)

Chair: Masayuki Karasuyama (Nagoya Institute of Technology), Yasunobu Ando (AIST)

4:20 PM - 4:40 PM

[A1-O5-02] Quantitative Prediction of Fracture Toughness (K1c) of Polymer via Fractography using Deep Neural Networks

*Yoh-ichi Mototake1, Kaita Ito2, Masahiko Demura2 (1. The institute of statistical mathematics (Japan), 2. National Institute for Materials Science (Japan))

Keywords:fractography, K1c, deep neural networks

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