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
e-mail: kawashima@issp.u-tokyo.ac.jpLanguage in Speech : Japanese
(Published on: Wednesday April 18th, 2018)