Scalable multiphysics simulations for MEMS design
High-accuracy MEMS simulations for optimized yield, reliability, and performance
RF MEMS & Resonators • Inertial Sensors • Microspeakers • Optical MEMS
Key advantages in MEMS design
Run thousands of simulations in parallel, explore a wider design space, and optimize device performance without constraints
Estimate manufacturing yield by taking into account real-world conditions and manufacturing constraints
Capture complex interactions between elastic waves, acoustics, and piezoelectric / electrostatic effects
Integrate Allsolve into your workflows and automate custom design processes with the Quanscient API
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Accelerated design cycles and reduced reliance on physical prototypes
- Powerful solvers and virtually unlimited computational resources
- Test and validate design variations with faster speed and increased accuracy
- Reduce the need for extensive physical prototyping
-> Shortened development timelines and faster time-to-market.
Optimized design exploration
- Access to extensive computational resources and faster simulation times
- Explore a wider range of design possibilities within the same timeframe
- More thorough optimization process
-> Designs that maximize yield, reliability, and performance.
Comprehensive multiphysics simulations
- Accurate and efficient simulation of complex multiphysics interactions through natively coupled multiphysics algorithms
- Eliminate the need for simplified models or separate simulations for each domain
-> More comprehensive and reliable design validation.
Accurate meshing of complex geometries
- High-quality meshes for even the most intricate geometries
- Accurately capture the real-world behavior of the device
-> More accurate and reliable results.
The harmonic balance method for nonlinear periodic systems
- Solves steady-state directly in the frequency domain, cutting runtime from hours to minutes
- Reduces noise versus transient runs and cleanly captures higher-order harmonics for nonlinear insight
-> Rapid, reliable steady-state results with deeper nonlinear understanding.
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Physics-aware artificial intelligence
- Create proprietary training data in hours
- Use neural networks to predict model performance in milliseconds
-> Real-time design space exploration
Proven applications
Quanscient Allsolve has been successfully applied to a wide range of ultrasound applications.Medical imaging
PMUTs, CMUTs, Piezocomposites
Fingerprint sensing
PMUTs, CMUTs, Thin-film piezoelectrics
Wearable devices
Gyroscopes, accelerometers
Microvalves
Electrostatic, piezoelectric, thermal microactuators
Underwater sonar
Piezocomposites, Piezo stacks (Tonpilz, Langevin)
Automotive sensing
Parking sensors, passenger occupancy sensing
Proven applications
Quanscient Allsolve has been successfully applied to a wide range of applications.
Fingerprint sensing
PMUTs, CMUTs, Thin-film piezoelectrics
Medical imaging
PMUTs, CMUTs, Piezocomposites
Automotive sensing
Parking sensors, passenger occupancy sensing
Underwater sonar
Piezocomposites, Piezo stacks (Tonpilz, Langevin)
Wearable devices
Gyroscopes, accelerometers
Microvalves
Electrostatic, piezoelectric, thermal microactuators
Technical examples
PMUT
PMUT sensor generative design
Generated 10k simulations to train an AI Surrogate Model. It predicted physics in <1ms, enabling inverse design that boosted PMUT fractional bandwidth from 65% to ~100% while maintaining 12 MHz frequency.
Microspeaker
MEMS microspeaker yield optimization
Ran 12,500 nonlinear harmonic balance simulations in 20 minutes to train an AI. This optimized MEMS speaker yield to 72%, achieving ~30% higher SPL while keeping THD below 0.15% by mapping manufacturing tolerances.
PMUT
PMUT sensor yield prediction
Run 1000 Monte Carlo simulations in 15 minutes instead of 66 hours. This 260x cloud speedup predicted a 71.9% manufacturing yield for strongly coupled piezoelectric-acoustic sensors, identifying oxide thickness as critical.
Microspeaker
Harmonic balance method
Solved coupled Fluid-Structure-Electrostatics via Harmonic Balance. A 75-point frequency sweep (20Hz–20kHz) took just 12 minutes on the cloud, capturing geometric nonlinearity and Total Harmonic Distortion without transient noise.
Complete features for a comprehensive simulation workflow
Unlimited users within an organization. Secure project sharing with custom permissions. No version incompatibilites.
Flexible pricing according to capacity requirements. Access to high-performance computing resources without the overhead costs. Unlimited users with every plan.
End-to-end data encryption. Strict access control protocols. Regular security audits (SOC2 & ISO 27001).
Intuitive and modern GUI. Python scripting interface for full control and customization. Pre-built script libraries.
Comprehensive documentation and user guides. Support accessible directly in the platform. Expert support from our application engineers.
Learn more from these resources
Webinar PDF summary
Analyze your MUT design with cloud-based multiphysics simulation
Blog
Why there's never enough simulation in R&D – and the next best thing
Webinar PDF summary
Faster and more reliable MEMS design with cloud-based multiphysics simulations
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