Challenges Quanscient Allsolve can address
As devices shrink, thermal, mechanical, and electromagnetic components interfere with one another.
A design that works perfectly in simulation can fail in the factory due to microscopic tolerances. Predicting yield loss before mass production is critical to margin protection.
Designing MEMS microspeakers that deliver high SPL without harmonic distortion requires rigorous, non-linear multiphysics analysis.
Simulation at the speed of consumer innovation
Cloud-scale yield prediction
Don't just simulate one nominal design. Run thousands of Monte Carlo simulations in parallel to understand how manufacturing tolerances affect performance, ensuring robust designs for mass production.
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Optimizing complex RF & acoustic arrays
Import full CAD models of SAW/BAW filters and microphone arrays without simplification. Capture the exact electromechanical coupling and packaging stress that detunes sensitive components.

Instant audio & vibration optimization
Utilize Harmonic Balance analysis and AI surrogates to tune MEMS speakers for maximum volume and minimal distortion, replacing weeks of prototype tuning with data-driven design decisions.

Physics-aware artificial intelligence
Traditional tools tell you what one design does. Engineers need to know which design to build under competing objectives, manufacturing limits, and deadlines.
MultiphysicsAI reveals the full design space so you can see all best trade-offs, move from specs to viable candidates, and verify you didn’t miss a better option.

What Quanscient Allsolve is used for

RF MEMS
Optimization of SAW/BAW filters, RF switches, and resonators for 5G/6G connectivity.
MEMS Microspeakers
Harmonic distortion and SPL optimization for TWS earbuds and smart glasses.
Inertial MEMS
Damping and sensitivity analysis for gyroscopes and accelerometers (wearables/phones).
Timing Devices
Phase noise and thermal stability analysis for MEMS oscillators and resonators.
Optical MEMS
Micro-mirror actuation and thermal stability for AR/VR projection systems.
PMUT/CMUT
Design of ultrasonic fingerprint sensors and gesture recognition arrays.Technical examples

MEMS speaker yield optimization
Optimizing MEMS microspeaker yield & audio quality via MultiphysicsAI

PMUT sensor generative design
Generative design of PMUT sensors via MultiphysicsAI & surrogate modeling

MEMS gyroscope damping analysis
Predicting real-world MEMS gyroscope performance via coupled damping analysis

PMUT sensor yield prediction
Predicting fabrication yield of PMUT sensors via Monte Carlo analysis
See how it could work for you
Submit the form to talk with our experts—we'll respond within 1 business day. You'll learn:
- How Allsolve could fit your use case
- What results to expect (accuracy, runtime, design exploration capabilities and rough cost range)
- How it could plug into your workflow today
Interested in just seeing an on-demand demo? Watch the 3-minute demo here
