Approach

Cybermanufacturing approach combines in closed loop:

• Artificial intelligence and machine learning, with multiscale models and predictive simulation
• Robotic self-assembly for precision nanofluidic folding, towards highly scalable manufacturing

Expected contribution to the Future Manufacturing knowledge base

• Provide fundamentally new method for scalable manufacturing of 3D quantum material architectures, with two key innovations
  1. precision microfluidic assembly
  2. embedded AI across all manufacturing processes for real-time analysis, prediction, and control
• Advance fundamental knowledge in material physics, nanoscale electronics and photonic science, and cyberphysical systems, leading the way to manufacturing of future devices, such as twistronics

Potential technological&societal impacts

• AI-driven cybermanufacturing microfluidic platform will be capable of manufacturing complex structures for emerging quantum device applications, breaking new ground