Green Car Congress  
Home Topics Archives About Contact  RSS Headlines

« Audi to acquire Silvercar, expand digital mobility technology and service offerings | Main | Compelling April Fool’s use case for autonomous driving: Lexus Lane Valet »

Print this post

Toyota Research Institute launches $35M effort to use AI to accelerate design & discovery of advanced materials; focus on batteries and fuel cells

30 March 2017

The Toyota Research Institute (TRI) will collaborate with research entities, universities and companies on materials science research, investing approximately $35 million over the next four years in research that uses artificial intelligence to help accelerate the design and discovery of advanced materials. Initially, the program will aim to identify new advanced battery materials and fuel cell catalysts that can power future zero-emissions and carbon-neutral vehicles.

Initial research projects include collaborations with Stanford University; the Massachusetts Institute of Technology; the University of Michigan; the University at Buffalo; the University of Connecticut; and the UK-based materials science company Ilika. TRI is also in ongoing discussions with additional research partners.

Toyota recognizes that artificial intelligence is a vital basic technology that can be leveraged across a range of industries, and we are proud to use it to expand the boundaries of materials science. Accelerating the pace of materials discovery will help lay the groundwork for the future of clean energy and bring us even closer to achieving Toyota’s vision of reducing global average new-vehicle CO2 emissions by 90% by 2050.

—TRI Chief Science Officer Eric Krotkov

Research will merge advanced computational materials modeling, new sources of experimental data, machine learning and artificial intelligence in an effort to reduce the time scale for new materials development from a period that has historically been measured in decades.

Research programs will follow parallel paths, working to identify new materials for use in future energy systems as well as to develop tools and processes that can accelerate the design and development of new materials more broadly.

In support of these goals, TRI will partner on projects focused on areas including:

  • The development of new models and materials for batteries and fuel cells;

  • Broader programs to pursue novel uses of machine learning, artificial intelligence and materials informatics approaches for the design and development new materials; and,

  • New automated materials discovery systems that integrate simulation, machine learning, artificial intelligence and/or robotics.

This represents a fantastic opportunity to drastically advance the use of databases and machine learning methods in materials discovery. The partnership combines theory, computation and experiment in an unprecedented, concerted effort. We are particularly excited by prospects for an avant-garde approach to catalyst development for fuel cells.

—Jens Norskov, Professor at Stanford University and director of the SUNCAT center

Accelerating materials science discovery represents one of four core focus areas for TRI, which was launched in 2015 with mandates to also enhance auto safety with automated technologies, increase access to mobility for those who otherwise cannot drive and help translate outdoor mobility technology into products for indoor mobility.

March 30, 2017 in AI, Batteries, Fuel Cells, Materials | Permalink | Comments (1)

Comments

Big headline
Little bucks.
"There's nothing to see here....move along."

Verify your Comment

Previewing your Comment

This is only a preview. Your comment has not yet been posted.

Working...
Your comment could not be posted. Error type:
Your comment has been posted. Post another comment

The letters and numbers you entered did not match the image. Please try again.

As a final step before posting your comment, enter the letters and numbers you see in the image below. This prevents automated programs from posting comments.

Having trouble reading this image? View an alternate.

Working...

Post a comment

Green Car Congress © 2017 BioAge Group, LLC. All Rights Reserved. | Home | BioAge Group