HEMI launches the Center on Artificial Intelligence for Materials in Extreme Environments

Mar 30, 2023 | No Comments | By Salena Fitzgerald

The Johns Hopkins University announces the establishment of the Center on Artificial Intelligence for Materials in Extreme Environments (CAIMEE), a new center within the Hopkins Extreme Materials Institute dedicated to the development of new materials and structures for use in extreme environments through the use of artificial intelligence and machine learning.

Materials in extreme environments present numerous research challenges that CAIMEE aims to solve by leveraging robotics, novel experimentation, accelerated computational models, and data-driven design iterations. Directed by Lori Graham-Brady, associate director of HEMI and professor in the Department of Civil and Systems Engineering, CAIMEE brings together 12 PIs and collaborators from several institutions to overcome these barriers. Jaafar El-Awady, a professor in the Department of Mechanical Engineering, will serve as CAIMEE’s co-director.

The center has a mission of enabling the development of materials with properties tailored for sustainable performance in extreme environments like those encountered by the Department of Defense, the Department of Energy, and the National Aeronautics and Space Administration. According to the announcement from Dean Ed Schlesinger, the new tools and technologies to be employed by CAIMEE researchers will revolutionize the way materials design decisions are made and will provide comprehensive data and information for sustainable materials development in extreme environments.

This new center is a significant development in the field of research and will have a direct impact on the development of essential materials for critical applications. It is expected that CAIMEE’s work will significantly contribute to the growth of innovations and discoveries that will help governments and industries tackle critical problems.

Leave a Reply

Your email address will not be published. Required fields are marked *