Adaptive Intelligent Materials & Systems Center
The AIMS Center strives to develop a unified theoretical foundation for integrated intelligent systems based on the multidisciplinary research areas of its members.
Headed by Dr. Aditi Chattopadhyay, AIMS is one of the seven Signature Research themes of the School of Engineering.
Vision
The vision of the Adaptive Intelligent Materials & Systems (AIMS) Center is to become a national Center of Excellence in the area of intelligent materials and adaptive systems. This is being accomplished by integrating a variety of interdisciplinary areas spanning mechanical, material, electrical and computational engineering, and developing a solid foundation in the area of integrated intelligent system design. Research in this area will solve large-scale problems that have direct benefit to the economy and society as well as a significant impact on aerospace and mechanical systems and civil infrastructures. Such problems are of interest to both industry and government.
Thrust Areas
System Health Management and Prognosis
Foundation of structural health monitoring covering sensor development, sensor placement, data fusion, mining & informatics
Multiscale Modeling From Nano Structural Scale
Physics based high fidelity multiphysics models of materials using molecular dynamics and continuum mechanics
Composite, Metallic, and Superalloy Materials
Complete multiscale characterization and testing of various material systems using novel state of the art equipment
Multifunctional Materials and Adaptive Systems
Novel smart material development for future multifunctional and multipurpose needs
Bioinspired Materials and Robotics
Low energy high efficiency materials and robotic structures designed for extreme environments
Intelligent Design and Multidisciplinary Optimization
Combining advanced optimization algorithms with validated physics-based models for optimal design
Consortium Member
AIMS consortium members receive numerous benefits such as reduced facilities, overheads, and administration costs, dedicated graduate student(s) allocated to work on consortium projects, participation in semi-annual research reviews and workshops, access to laboratory and equipment such as the unique MTS Biaxial/Torsion load frame, and direct involvement with center faculty.
Boeing
(2014 – Present)
Intel
(2016 – Present)
Past Members
