Organizers:
- Wei Chen, Northwestern University
- Renee Zhao, Stanford University
- Yayue Pan, University of Illinois at Chicago
- Liwei Wang, CMU
Description:
Programmable material systems (PMS) are made of smart materials that are responsive to external stimuli (e.g., mechanical load, thermal load, chemical signals, light, and magnetic fields) and can be “programmed” to transform between multiple functional states. It is an emerging material system with far-reaching impacts on multifunctional applications in industry and defense, such as flexible electronics, soft robots, mechanical computing, wave manipulation, and biomedical devices. The research in PMS is multidisciplinary in nature, integrating efforts from mechanics, mathematics, robotics, chemical & material science, biology, computing, data science, engineering design, and manufacturing. This symposium seeks to bring together researchers working on various aspects of PMS, from mechanistic modeling and simulation to automated design methods, fabrication as well as emerging engineering applications.
Topics of interest:
- Mechanistic modeling and simulation methods of PMS
- Underlying mechanisms, design rules, and knowledge discovery of PMS
- Advanced manufacturing methods and process design for PMS
- Data collection for stimuli-responsive materials and PMS design concepts
- Machine learning and artificial intelligence techniques for PMS
- Topology optimization and other design optimization methods
- Stimuli-responsive materials and structures
- Metamaterials with programmable behaviors
- Emerging PMS applications with novel properties and functionalities