Quanscient MultiphysicsAI for PMUT Design
- Developing ultrasonic transducers for medical imaging and sensing is a complex process.
- A new workflow,developed by Quanscient,combines cloud-based simulations with artificial intelligence to speed up this design process.This allows for "inverse design," where desired performance characteristics are specified,and the system...
- In a recent case study, the Quanscient system optimized four parameters using 10,000 simulations, achieving performance improvements with considerably less engineering time.
Developing ultrasonic transducers for medical imaging and sensing is a complex process. Engineers must carefully balance factors like sensitivity and bandwidth while hitting precise frequency requirements. Traditionally, this involved repeatedly building and testing prototypes – a slow and limited approach.
A new workflow,developed by Quanscient,combines cloud-based simulations with artificial intelligence to speed up this design process.This allows for ”inverse design,” where desired performance characteristics are specified,and the system quickly identifies optimal geometric parameters.
In a recent case study, the Quanscient system optimized four parameters using 10,000 simulations, achieving performance improvements with considerably less engineering time. What once took days can now be done in seconds, using standard computing resources. this approach offers a more transparent and data-driven way to explore design possibilities.