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3) Develop an automated material discovery system that integrates simulation, artificial intelligence, machine learning, or robotics

As a field that has not made substantial breakthroughs in decades, material science research has gradually heated up in the past two years with the large-scale application of power batteries. All power battery manufacturers are exploring the application of new materials to increase the energy density and lifespan of existing batteries.

In 2015, Tesla successfully countered Jeff Dahn, a lithium battery expert who had been collaborating with 3M Company on battery materials for over 20 years. Tesla's battery business unit and the battery research team led by Jeff Dahn reached a new partnership at Dalhousie University. Jeff Dahn's research focus has shifted to improving the energy density and battery life of lithium-ion batteries to reduce battery costs for Tesla cars and energy storage equipment.

Returning to the TRI battery materials project, 36 Kr learned that the total investment amount for the project reached 35 million US dollars. TRI will collaborate with research institutes, university research institutions, and materials research companies, and several confirmed TRI partners will be announced, including Stanford University, Massachusetts Institute of Technology, University of Michigan, University of Buffalo, University of Connecticut, and British materials science company Ilika.

Eric Krotkov, Chief Scientific Officer (CSO) of TRI, said, "Toyota recognizes that artificial intelligence is an important foundational technology that can be applied in many industries, and we are proud to use it to explore the limits of materials science. Accelerating the pace of material discovery will help lay the foundation for our future clean energy vision, bringing us closer to Toyota's vision of reducing global average new car carbon dioxide emissions by 90% by 2020

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