About the Lab:
Pioneering the Future of AI/ML-Assisted Material Modeling and Structural Design
The Artificial Intelligence and Machine Learning for Multiscale Modeling (AIM³) Lab stands at the intersection of computational mechanics, ML/AI modeling, and materials and structures. Located at the University of Texas at Arlington, we leverage cutting-edge neural networks and multiscale simulations to solve critical challenges in aerospace and defense. Our mission is to accelerate the design of next-generation composites and additively manufactured metamaterials, making them lighter, stronger, and smarter through AI/ML-assisted multiscale modeling.
Recent news:
- 10/20/2025: Congratulations to my PhD student, Bangde Liu, on his work for developing a neural network-assisted design optimization for tow-steered composites. This work resulted in a journal paper, “Liu, B. and Liu, X., 2025. Neural network-assisted design optimization with adaptive sampling for tow-steered composite structures. Composite Structures, p.119588.”
- 10/10/2025: Dr. Liu presented two talks at the 2025 ASC conference. (LinkedIn)
- 09/01/2025: We have been awarded a $750,000 NASA grant “Development of Additively Manufactured Metamaterials for Impact-Resilient Advanced Air Mobility: A Community-Centered Approach”. (LinkedIn)
Supported by:
