How artificial intelligence and robotics change the way of our research?

15:00-15:30 Pre-Registration required

【Profile】

Dr. Taro Hitosugi is a Professor in the School of Materials and Chemical Technology at the Tokyo Institute of Technology (Tokyo Tech). He also serves as a Deputy Director of the Tokyo Tech Academy for Convergence of Materials and Informatics (TAC-MI).
His research interests involve surfaces and interfaces of materials for electronics and energy applications. He has recently succeeded in autonomous materials synthesis by machine learning and robotics, aiming to accelerate materials science research. He is an editorial advisory board member of APL Materials and an associate editor of Science and Technology of Advanced Materials (STAM). He has published more than 150 refereed papers in leading academic journals.

【Abstract】

Future materials research involves autonomous synthesis and characterization, combining machine learning, robotics, and big data. Here, a new way of research that accelerates materials exploration is discussed. The system fully automates sample transfer, materials synthesis, and growth condition optimization. Combining Bayesian optimization with robotics illustrates how the speed of research is accelerated. The outlook and significance of these approaches are discussed along with the trends in the world.

Research DX which Hitachi consider

15:30-16:00 Pre-Registration required

Material Informatics & Digital Transformation

16:00-16:30 Pre-Registration required

Synthetic chemistry led by Microflow research DX

16:30-17:00 Pre-Registration required

【Abstract】

Microflow synthesis has attracted considerable attention because of its capability which an ordinary synthetic chemistry in flask never has. One of the beauties is that the small reaction space allows synthesizing materials which can not be synthesized in flask. Moreover because its parameters, such as a flow rate of the substrate solution and a temperature of the reactor, are digital, microflow synthesis can be easily applied for digital transformation (DX). Thus, microflow synthesis is especially expected to achieve a highly-reliable process informatics. In this presentation, I would like to talk about our ideas and research of microflow synthesis, which can alter common knowledge of synthetic research DX.