Day 1 :
Time : 10:00-10:45
David A Winkler has obtained his degrees in Chemistry, Physics and Chemical Engineering and a PhD from Monash University. He was a Senior Scientist at CSIRO for 30 years then moved to academia. He is interested in translational research aimed at understanding interactions between molecules, materials and biology. He is a Fellow and past Board Chair of the Royal Australian Chemical Institute, a Fellow of the Asian Federation of Medicinal Chemistry; past President of the AFMC and current President of the Federation of Asian Chemical Societies. He is a Member of the organizing committee of the world’s largest international chemical congress, Pacifichem. He is a recent Recipient of the RACI’s adrien albert award, the American Chemical Societ’s Herman Skolnik award and the CSIRO Medal in business excellence. He has published almost 300 journal articles and book chapters and is an inventor on 25 patents.
Materials research is expanding on many fronts, leveraging exciting developments in high throughput robotic synthesis and testing new mathematical methods, efficient algorithms and data handling and artificial intelligence and machine learning. These experiments provide large data sets that are ideal for generating data-driven computational models that can make quantitative predictions of properties of materials not yet synthesized. This allows large virtual libraries of materials to be rapidly screened computationally for promising candidates. It is now widely recognized that the number of materials that could be synthesized by chemistry is extremely large, essentially infinite. These vast materials spaces may be sparsely populated by islands of useful green materials so considerable effort is being applied to exploring them as efficiently as possible. An emerging paradigm for discovery of novel functional, yet safe and environmentally benign, materials involves the synergistic combination of high throughput experimentation, robust machine learning and feature selection algorithms and evolutionary processes. Most scientific innovations and technologies pass through the well-known S curve with slow beginning, an almost exponential growth in capability and a stable applications period. Adaptive, evolving, learning molecular design and optimization methods are approaching a period of very rapid growth and their impact is already being described as potentially disruptive. Ultimately, it may be possible to close the loop and generate autonomous materials discovery methods using these adaptive evolutionary methods and new mathematical techniques that can work back from model predictions to new materials. Effective exploitation of these potentially paradigm-shifting methods should result in a step change in the number and effectiveness of novel green molecules and materials available for broad applications in medicine and industry. I illustrate these methods and their application to design of safe-by-design nanomaterials, porous materials for energy applications, CO2 abatement materials and green corrosion inhibitors.
Keio University, Japan
Time : TBD
Dr. Tetsuya Suzuki has been a professor in Center for Environments, Resource and Energy at Keio University since 2005. He received his B. Sc. (1985) of Inorganic Materials Science and D. Eng. (1990) of Nuclear Engineering from Tokyo Institute of Technology. He was a leader of several national projects operated by NEDO, JST, Kanto Bureau of Economy, Trade and Industry, Education, Culture, Sports, Science and Technology, and Kanagawa Prefecture. His work covers carbon-based thin film coatings, plasma surface modification, and DLC-related coatings for medical applications.
Reuse of PET bottles reduces PET resin usage and waste, and contributes to decrease of greenhouse gas emission. However, PET bottles tend to absorb smelly and dirty matters into the surface of PET resin unlike glass bottles, and it is hard to remove them completely by washing. Diamond-like carbon (DLC) coating has possibility to prevent absorption of sub-stances into PET resin surfaces. The performance of DLC coating as a functional barrier for PET bottles in reuse cycle was evaluated.
We have recently developed a technique for coating the inner surface of PET bottles with DLC as a gas barrier to protect the contents and these bottles have been commercialized for soft drinks in Japan. In addition, in terms of the resource protection, reusing of PET bottles is expected as beneficial way with recycling. In this study, the usability of DLC-coated PET bottle in reuse process was investigated.
For assessing the effect of washing, we repeatedly washed bottles with alkaline solution, and then the gas barrier property was evaluated. After 15 times of repeated washing, DLC-coated PET bottle kept its gas barrier property to about one third that of virgin PET bottle. We also evaluated the protection performance of DLC to chemical pollutants. In this study, we prepared polluted virgin and DLC-coated PET bottle with toluene and 1,1,1-tricrolomethane, then measured the migration of contaminants into the food simulants, 4% aqueous acetic acid solution and 50% aqueous ethanol solution, with gas chromatography. The result shows that the contaminants migration to the both food simulants from polluted DLC-coated PET bottle was drastically inhibited and its amount was under one-tenth comparing with virgin PET bottle.