LG

■ LG Sciencepark formed “AI-based materials development consortium (A3MD)” with University of Toronto and McMaster University in Canada and French energy and oil company Total on the 11th
 
■ Joint project on eco-friendly catalysts and next-generation optical materials development
 
 
LG is accelerating innovation using AI and robot technology in the development of chemical materials such as eco-friendly catalysts and next-generation materials.
 
On the 11th, LG Sciencepark announced to form “AI-based materials development consortium (A3MD, The Alliance for AI-Accelerated Materials Discovery)” with the University of Toronto and McMaster University in Canada and French energy and oil company Total for joint research.
 
A3MD is the world's first AI alliance in the field of materials development, which brings together global leading academia and industrial partners.
 
LG joined as a founding member to secure advanced AI technology for the development of new materials, while at the same time establishing the foundation for joint Research & Development networks with AI scholars in the materials field.
 
This consortium carries out various AI modeling and automated experimentation platforms with the aim of developing “eco-friendly catalysts” and “next-generation optical materials”.
 
For example, compounds such as ethylene, which are usually extracted from petrochemical processes, can also be produced from carbon dioxide in the air and catalysts that induce chemical reactions can be designed using machine learning and automated robotic systems. In addition, next-generation materials such as Perovskite, which convert electricity into light, can also accelerate the development period through supercomputer simulation and AI modeling, and expand their use such as light-emitting materials.
 
Conventional materials research would first discover new materials, synthesize them, and repeat the process of verifying physical properties, which took years or decades to finally develop new materials.
 
On the other hand, if AI technology is applied to materials development, data on materials properties can be more accurately identified, and development costs and periods can be significantly reduced compared to conventional research methods that require repeated experiments, thereby providing customized materials for each client company faster.
 
The consortium includes world-class faculty members including Ted Sargent and Alan-Aspuru-guzik from University of Toronto, renowned AI experts in materials information science, computational chemistry, and automated platform for large-scale experiments using robots, and Drew Higgins of McMaster University. Total also joins as an industry partner who actively develops AI solutions for energy data analysis.
 
A3MD plans to share results such as data and algorithms generated from joint projects conducted through online video conferencing, and to expand exchanges through AI training programs, expert forums, and internships with corporations.
 
Meanwhile, LG Sciencepark is conducting various research such as deep learning and machine learning through collaboration with global leading institutions including University of Toronto, a leader in the field of artificial intelligence. In July of last year, it also built “Corporate AI Lab in Toronto” with University of Toronto to develop AI technologies applied to industries, logistics and manufacturing sites.
 
"LG will continue on meaningful research that can change our customers’ life through open partnerships with global AI leaders in various fields including chemical materials to secure internal and external AI capacity while solving problems in our surroundings," said Bae Kyung-hoon, head of the AI Division at LG Sciencepark.