Leading Research Organization’s Second Wave of Investment Aims to Accelerate the Development of New Materials for Emissions Free and Carbon Neutral Vehicles
LOS ALTOS, Calif., May 18, 2021 - Toyota Research Institute (TRI) announced today that it is committing another $36 million to its Accelerated Materials Design and Discovery (AMDD) collaborative university research program over the next four years. In early 2017, TRI announced the formation of AMDD and launched the program with the mission of using AI to find new materials for emissions free mobility. The total scope of the initial investment was $35M over four years with multiple university partners. Today’s news builds on that initial investment with new funding and closer collaboration with program partners.
AMDD team and university collaborators at our annual research meeting in 2019
“Our focus on collaboration is what makes our research program unique. Rather than acting strictly as a funding source, TRI has formed deep collaborations with researchers which have led to joint publications as well as co-developed open-source data and software,” said Brian Storey, Director of TRI’s AMDD program. “This collaborative approach is critical to accelerate the development of new materials for battery and fuel cell vehicles as no single entity can do this alone.”
Dr. Jungjin Park (Jacqueline Orrell/SLAC National Accelerator Laboratory)
Over the last four years, TRI’s AMDD program has published over 150 academic papers that have advanced our understanding of the battery and fuel cell materials that are critical to reaching a carbon neutral future. Key research topics for the program include accelerating the testing of battery lifetime, developing methods for the AI-driven discovery of new fuel cell materials, creating a novel robotic platform for rapid design of new polymer formulations for batteries, and launching autonomous systems that can discover materials in simulation with no human intervention. In addition to publications, the research program has led to multiple open source software packages and some of the largest open data sets for batteries.
Bruis van Vlijmen (Photo Credit:Jacqueline Orrell/SLAC National Accelerator Laboratory)
Over the next four years, TRI will focus more strongly on creating new research tools, methodologies, and capabilities to accelerate the commercialization of these advanced materials. The participating institutions, include:
California Institute of Technology,
Carnegie Mellon University,
Fraunhofer Institute for Solar Energy Systems,
Georgia Institute of Technology,
Lawrence Berkeley National Laboratory,
Massachusetts Institute of Technology (MIT),
SLAC National Accelerator Lab,
University of Michigan.
“We're working with TRI to bring together polymer synthesis, rapid robotic experiments, molecular simulation, and AI to establish new design rules for polymers,” said MIT professor Yang Shao-Horn. “Working with TRI has enabled us to bring together several different disciplines within MIT for a common mission of designing materials for next generation batteries.”
“We are eager and excited to work with the world-class TRI team to explore how machine learning can be used with high-quality big data sets to explore the materials genome as it pertains to catalyst development – we are on the cusp of something big!” said Professor Chad Mirkin from Northwestern University.
Learn more about TRI’s AMDD work on Medium.
About Toyota Research Institute
Toyota Research Institute (TRI), established in 2015, aims to develop active vehicle safety and automated driving technologies, robotics, and other human amplification technology. Led by Dr. Gill Pratt, TRI’s researchers use artificial intelligence to benefit society and improve the human condition by creating a future where everyone has the freedom to move, engage, and explore. TRI is based in the United States, with offices in Los Altos, California, Cambridge, Massachusetts, and Ann Arbor, Michigan. For more information about TRI, please visit http://tri.global.
High res imagery and video available for download.
Conditions for download: All materials on this site are for editorial use only. The use of these materials for advertising, marketing or any other commercial purpose is prohibited. They may be cropped but not otherwise modified. I agree to the terms.