The joinTwhole biomedical technology innovation has landed! MultiphysicsAI is a cloud-based, one-of-a-kind platform that unites FEM simulation with neural surrogates. This new and different way of thinking is revolutionizing how designers create piezoelectric micromachined ultrasonic transducers (PMUTs). It moves beyond dated trial-and-error approaches to a systematized inverse optimization framework. MultiphysicsAI is at the forefront of this innovation to increase the efficiency and efficacy of PMUT designs. Yet, this progress is crucially important for many biomedical applications.
MultiphysicsAI provided an elegant solution to the problem at hand, coming in with some 10,000 randomized geometries as a training set. Consequently, it produces AI surrogates with an exceptional mean error rate of just 1%. Delivering this kind of accuracy is important. It ensures that the designs adhere to the highest performance standards required for the medical device industry. The platform provides sub-millisecond inference times for latency-sensitive KPIs. This high speed hardware-in-the-loop setup enables rapid prototyping and evaluation of transmit sensitivity, center frequency, fractional bandwidth and electrical impedance.
Systematic Design Optimization
With the launch of MultiphysicsAI, we’re changing the optimization game for PMUTS. By facilitating systematic inverse optimization, it removes the wasted effort found in traditional design iterations. Designers are much better enabled to understand difficult trade-offs between sensitivity and bandwidth now. This systematic approach removes subjectivity from the design process. It delivers performance improvements validation in minutes allowing transportation officials to reduce validation time from days with conventional methods.
The platform illustrates its world class capabilities with its Pareto front optimization feature. This unique characteristic increases fractional bandwidth from 65% to 100%. Additionally, this optimization increases sensitivity by 2-3 dB. It maintains the center frequency fixed at 12 MHz, with a very strict tolerance of ±0.2%. This precision is no accident, it is critical. This guarantees that PMUTs provide the reliable ultrasonic results required for medical diagnostics and therapeutic uses.
Cloud-Based Efficiency
Built on standard cloud infrastructure, MultiphysicsAI can easily be made accessible and scalable by researchers and engineers working in rural, per-urban, or other non-equidistant environments. This collaborative architecture, combined with the cloud-based design process, enables real-time updates and feedback from other institutions and continues to broaden the collaborative, interdisciplinary design process. Now teams can work together seamlessly and strategically. They leverage the capabilities of AI to make their designs better, without being limited by the constraints of actual hardware.
Together, FEM simulation and neural surrogates provide an incredibly powerful framework. This helps provide them the confidence to quickly act on what’s right for them. At its core, MultiphysicsAI delivers a systematic approach that enhances the design workflow. This oriented PMUT optimization makes it a pragmatic solution for maximizing PMUTs within a multitude of different biodetection applications.