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Comprehensive simulation platform for advanced MEMS design

Scalable, high-accuracy MEMS simulations for optimized yield, reliability, and performance.

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“Quanscient Allsolve is the 'go-to' tool for our most sophisticated superconductor simulations in stellarator design.”
Lucio M. Milanese, PhDCo-founder and COO
Proxima Fusion
”Quanscient Allsolve is a groundbreaking tool for advanced 3D superconductor simulations.”
Antti Stenvall, PhDAdjunct professor
Tampere University
”Allsolve is a key tool for us modelling HTS cables and coils, especially when dealing with complex 3D multiphysics simulations. It has significantly enhanced our efficiency.”
Jiabin YangMagnet Engineer
UKAEA
“With Quanscient Allsolve, I can run complex simulations in under a day, which would otherwise take a week to complete.”
Nicolo Riva, PhDMagnet Engineer
Proxima Fusion
PixierayAntony Hartley, CAE Consultant
"With Quanscient Allsolve, we were able to test different parameters to find the working design from the first iteration, saving three months in product development time."
kiutraKlaus Eibensteiner, Team Lead of Engineering
“Quanscient Allsolve made our hardware iterations much more reliable and functional, speeding up the development process by requiring fewer hardware iterations to get to a finalized product.”
Quanscient Allsolve

Key advantages in MEMS design

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Increased simulation throughput

Run thousands of simulations in parallel, explore a wider design space, and optimize device performance without constraints
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Tests with real-world conditions

Estimate manufacturing yield by taking into account real-world conditions and manufacturing constraints
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Comprehensive multiphysics modeling

Capture complex interactions between elastic waves, acoustics, and piezoelectric / electrostatic effects
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Integrate into workflows via API

Integrate Allsolve into your workflows and automate custom design processes with the Quanscient API
Challenges faced with existing solutions

Traditional software often requires simplifications, compromises on accuracy, or long runtimes

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Slow prototyping and extended lead times

  • Extensive physical prototyping to validate designs

  • Time-consuming and expensive process

Delays product launches and hinders rapid response to manufacturing or reliability issues.
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Limited design exploration

  • Limited computational resources

  • Inability to fully explore all potential design possibilities

Suboptimal designs that fail to maximize yield, reliability, or performance.

 
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Limited multiphysics capabilities

  • Complex interactions between multiple physics domains (mechanical, thermal, electrical, fluidic)

  • Struggle to accurately simulate multiphysics interactions

  • Simplified models or separate simulations for each domain

Inaccurate results and potential oversights in the design process.

 
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Trouble meshing complex geometries

  • Struggle to create accurate simulation meshes

  • Simplified models that do not fully capture the real-world behavior of the device

Less accurate simulation results.

 
Quanscient Allsolve

Production-level simulation platform for advanced MEMS design

Quanscient Allsolve was developed for accelerating the design and optimization of high-performance MEMS devices by providing accurate, scalable, and efficient multiphysics simulations. As a production-level tool, Allsolve offers capabilities for running large design of experiments for product optimization in later design stages, as well as earlier exploratory simulations.

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.

Visualization of MEMS simulation

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.

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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.

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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

Mesh settings in the UI
Quanscient Allsolve

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

Fingerprint sensor
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Wearable devices

Gyroscopes, accelerometers

Microvalves

Electrostatic, piezoelectric, thermal microactuators

Underwater sonar

Piezocomposites, Piezo stacks (Tonpilz, Langevin)

Automotive sensing

Parking sensors, passenger occupancy sensing

car ultrasonic sensors
Quanscient Allsolve

Proven applications

Quanscient Allsolve has been successfully applied to a wide range of applications.
fingerprint-sensors
Fingerprint sensing

PMUTs, CMUTs, Thin-film piezoelectrics

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Medical imaging

PMUTs, CMUTs, Piezocomposites

automotive-sensing
Automotive sensing

Parking sensors, passenger occupancy sensing

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Underwater sonar

Piezocomposites, Piezo stacks (Tonpilz, Langevin)

wearable-devices
Wearable devices

Gyroscopes, accelerometers

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Microvalves

Electrostatic, piezoelectric, thermal microactuators

Real-life example

Estimating yield with a 1000-simulation Monte Carlo analysis

Even small variations can cause significant differences between what we expect in theory and how the device performs in real life.

Through a Monte Carlo analysis you can simulate these variations to predict their impact on device performance.

This method is particularly valuable as it allows engineers to estimate manufacturing yield using pass/fail criteria.

In our webinar in June, we covered the application of Monte Carlo analysis with a single-element PMUT model, running 1000 random variations to analyze performance effects.

This approach ensures greater reliability and efficiency in MEMS design, bridging the gap between simulation and real-world performance while significantly improving manufacturability and yield estimation.

Watch this case example step-by-step →
Download the PDF summary ->

Total simulations 1000
Amplitude fails 252
Arrival time fails 135
Total fails 281
Yield 71,9%

 

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Key features

Complete features for a comprehensive simulation workflow

Comprehensive suite of functionalities 2
Comprehensive suite of functionalities
Model import, edit, and material management. Meshing options: Structured, extruded, and tetrahedral. Python scripting interface for limitless customization and functionality. 3D post-processing, visualization, and data export.
Enhanced collaboration and project sharing 2
Enhanced collaboration and project sharing

Unlimited users within an organization. Secure project sharing with custom permissions. No version incompatibilites.
Cost-effective pricing and simplified IT infrastructure
Cost-effective pricing and simplified IT infrastructure

Flexible pricing according to capacity requirements. Access to high-performance computing resources without the overhead costs. Unlimited users with every plan.
Robust security measures
Robust security measures

End-to-end data encryption. Strict access control protocols. Regular security audits (SOC2 & ISO 27001).
Flexible interface and customization capabilities
Flexible interface and customization capabilities

Intuitive and modern GUI. Python scripting interface for full control and customization. Pre-built script libraries.
Documentation and support
Documentation and support

Comprehensive documentation and user guides. Support accessible directly in the platform. Expert support from our application engineers.
Resources

Learn more from these resources

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Webinar PDF summary

Analyze your MUT design with cloud-based multiphysics simulation

Explore a wider design space and optimize the performance of your CMUT and PMUT devices with Quanscient Allsolve
Blog

Why there's never enough simulation in R&D – and the next best thing

Dr. Andrew Tweedie on his philosophy of simulation and how Quanscient Allsolve makes it possible – or at least very close.
 

Read the full article →

Webinar PDF summary

Faster and more reliable MEMS design with cloud-based multiphysics simulations

See how engineers are leveraging cloud computing for faster design cycles and increased product reliability in MEMS design.
 

Open recording and PDF summary →

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Quanscient Allsolve

Request a live demo

In the live demo, we'll
  1. Explore use cases and workflow integration
  2. Discuss pricing and value
  3. Discover features and benefits

We'll get back to you within 1 business day.