LG and Total become the latest major players to make a significant announcement for their materials informatics intentions. Materials informatics is the data-centric approach to materials science R&D, primarily utilising data infrastructures and machine learning to find new relationships, products, and overall accelerate the time to market.
This alliance, called AI-Accelerated Materials Discovery (A3MD), includes LG and Total as well as many prominent academic institutes. IDTechEx has covered the field of materials informatics and more information can be seen in a dedicated market report on the topic. There have been more major headline announcements and notable developments, clearly showing the emerging significance of this field.
There are multiple strategic approaches to materials informatics. This alliance can have a large potential impact across numerous sectors as outlined in the full news story:
LG Group, South Korea's fourth largest conglomerate, has formed a global alliance to discover high-performance, next-generation chemical materials, using artificial intelligence (AI) and robot technologies.
LG Science Park, the business group's research and testing hub, said on Sunday that it has created The Alliance for AI-Accelerated Materials Discovery (A3MD) with University of Toronto and McMaster University in Canada and French energy player Total S.A. last week for joint research and development (R&D) activity. A3MD, joined by world-class partners in academia and industry, is the world's first alliance that is formed to discover materials using AI technology, the company said.
As founding member, LG Group will seek to build global network for joint R&D with AI scholars in the materials sector and secure up-front AI technology for new materials development.
The alliance will be joined by Toronto University professors Ted Sargent and Alan-Aspuru-Guzik, and McMaster University Professor Drew Higgins - all world-famous scholars in the field of AI such as those involving materials informatics, computational chemistry, and large-scale experimental automation based on robot technology. Total, which has been active in carrying out AI solution development for energy data analysis, will also participate in the alliance as industry partner.
The members of the alliance will promote joint projects by holding non-face-to-face video conferences and share analysis results such as data and algorithms. They plan to expand partnership by holding AI education programs, expert forums, and corporate internship programs.
The alliance will also aim to develop green catalyst and next-generation optical materials by establishing various AI modeling and automation testing platforms.
For example, ethylene and other compounds found in petrochemical process can be produced in carbon dioxide from the atmosphere. The consortium will aim to develop a catalyst that induces chemical reaction by using machine learning and automation robotic system.
IDTechEx provides extensive detail on the field of materials informatics. The market report Materials Informatics 2020-2030 provides extensive details on the players, projects, technology, and key sectors. This is based on many primary interviews as well as extensive background in advanced materials and relevant verticals including energy storage, organic electronics, additive manufacturing, and many more. For more information visit www.IDTechEx/research.
Original news source: Pulse News with commentary added by IDTechEx.