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Data-driven research in materials science – Estimation of effective model/atomic force and signal analysis of smell sensor by machine learning –

Date : Wednesday, April 25th, 2018 3:00 pm - 4:00 pm Place : Seminar Room 5 (A615), 6th Floor, ISSP Lecturer : Dr. Ryo Tamura Affiliation : National Institute for Materials Science / The University of Tokyo Committee Chair : Naoki KAWASHIMA (ex.63260)
e-mail: kawashima@issp.u-tokyo.ac.jpLanguage in Speech : Japanese
(Published on: Wednesday April 18th, 2018)

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