Session information

Symposium

Co-Innovation Program (CIP) » Informatics for every chemist: Fundamentals of machine/deep learning for predictive data analytics

[B302-1pm] Informatics for every chemist: Fundamentals of machine/deep learning for predictive data analytics

Wed. Mar 23, 2022 1:00 PM - 3:40 PM B302 (Online Meeting)

Chair, Symposium organizer: Hironobu Iyama, Hikaru Takaya, Kazuhiko Sato, Kazuhiro Matsumoto

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1:00 PM - 2:00 PM

[B302-1pm-01] Statistical machine learning for inverse problems in materials research

Keynote Lecture

^○Ryo Yoshida Yoshida¹ (1. The Institute of Statistical Mathematics)

[Lang.] Japanese

2:10 PM - 2:40 PM

[B302-1pm-02] Fundamentals of molecular descriptors in materials informatics

Invited Lecture

^○Yoshihiro Hayashi¹ (1. The Institute of Statistical Mathematics)

[Lang.] Japanese

2:50 PM - 3:20 PM

[B302-1pm-03] How can synthetic chemists perform Artificial Intelligence in synthetic chemistry?

Invited Lecture

^○Akira Yada¹ (1. National Institute of Advanced Industrial Science and Technology (AIST))

[Lang.] Japanese

Closing Remarks (3:30 PM - 3:40 PM)

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