In our new webinar series, members of the EMMC International Advisory Board (IAB) present their views on contemporary EMMC related topics.
The first webinar will be given by the EMMC IAB member Abhijit Chatterjee from DASSAULT SYSTEMES BIOVIA in Japan.
Despite its potential to transform society, materials research suffers from a major drawback: its long research timeline. Recently, machine-learning techniques have emerged as a viable solution to this drawback. As we know that the digital twin is a digital model of an intended or actual real-world physical product, system, or process (a physical twin) that serves as the effectively indistinguishable digital counterpart of it for practical purposes, such as simulation, integration, testing, monitoring, and maintenance.
Using that concept we have adopted a Generative Material Design - a cloud-based integrated solution that optimizes materials design and discovery combining the virtual and real world — potentially saving millions of research dollars. This process includes:
a) Combine advanced data science, machine learning, cheminformatics and structure-based modeling to explore chemical space,
b) Automate the virtual creation, testing and selection of novel small molecules,
c) Reduce the cost of physical testing and then revalidate with laboratory including formulation/reformulation.
This talk will show real life examples of utilization of this digital twin for designing materials.
Abhijit Chatterjee
He received his Ph.D. in Physical Analytical Chemistry from Burdwan University, India in 1992. After postdoctoral studies at the University of California, Santa Barbara and CNRS Montpellier, he joined the National Institute of Chemical Research, Pune, India. He then came to Japan as a visiting associate professor at Tohoku University in 1995, and served as a Principal Investigator at the National Institute of Advanced Industrial Science and Technology (AIST) until 2004, before joining Dassault Systèmes. He currently holds a global role as Director of the Technical Team for the Asia Pacific Region. He has published 125 research papers in peer-reviewed journals and authored several book chapters. He has also participated in government projects and worked as a project leader for various private companies, developing new functional materials using scientifically informed enterprise platforms in combination with multi-scale modeliSpeng and data science.
EMMC Full Members have access to the presentation and recording of this webinar.
