Autonomous codesign and fabrication of multistimuli-responsive material systems.

Area of Science:

• Materials Science
• Engineering
• Computational Design

Background:

• Responsive materials enable adaptive systems but require advanced design methods.
• Current inverse design lacks integration of multiple stimuli and manufacturing constraints.
• Optimizing responsive material systems demands holistic approaches.

Purpose of the Study:

• To present a unified, autonomous codesign framework for responsive material systems.
• To enable simultaneous optimization of structure, manufacturing, materials, and stimuli.
• To achieve target shape morphing under multiple stimuli without human expertise.

Main Methods:

• Integrated generalized topology optimization with hybrid data-physics differentiable simulations.
• Developed a manufacturing-aware design approach for network-like responsive materials.
• Utilized a multimaterial 3D printing process with high material tunability.

Main Results:

• Demonstrated simultaneous optimization of structure, manufacturing, and stimuli.
• Successfully fabricated liquid crystal elastomer systems capable of shape morphing.
• Achieved target shape morphing in response to combined heat and light stimuli.
• Showcased the framework's flexibility and efficiency in designing complex responsive systems.

Conclusions:

• The autonomous codesign framework advances the design of adaptive responsive materials.
• This method facilitates the creation of sophisticated shape-morphing applications.
• The approach holds significant potential for soft robotics, drug delivery, and other fields.