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Use Cases

CASE STUDIES SOLVED WITH OUR SIMULATION APPS

Cases Solved with SENSE

metal mesh pattern

metal mesh vs ito
in p-cap touch sensors

Performance Comparison through Measurements and Simulations

sense hand pattern2

Metal Mesh sensor simulation

Projected-Capacitive Touch Screens Simulated with Fieldscale SENSE

Cases Solved with CHARGE

mv cable1

Electrostatic Simulation

of a Medium Voltage Cable; Effects of a Void Defect

insulator3

Electrostatic Simulation

of a Transmission Line Disc Insulator​

Frequently asked questions

How accurate is SENSE? How do you validate your results?

SENSE utilizes cutting-edge algorithms built on the basis of BEM method, which provided accurate results in much shorter simulation time with respect to competition. Moreover, accuracy is ensured through the detailed mesh investigation that is made for the ready-to-use patterns of SENSE’s library, or by using a smart Adaptive Mesh Refinement algorithm for the imported custom patterns.

Simulation results are validated both against experimental results of touch panels and values obtained from an analytical solution (for example capacitance between concentric spheres).

Does SENSE use empirical equations to provide results?

SENSE doesn’t use empirical equations to provide results. It uses the Boundary Element Method which is accelerated by the Fast Multipole Method, thus producing a fast iterative solver of linear time and memory complexity.

How fast is SENSE?

Simulation time depends on, besides the shape and dimensions of the model, the number of pointer positions that are selected in parametric analysis, and of course the CPU cores that are used. For example, when using 256 CPU cores, a parametric simulation of a typical double layer diamond pattern including 16 different pointer positions is solved in about 6 minutes.

Do you need a custom case solved?

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Latest News

  • Fieldscale joins Siemens EDA Partner ProgramDecember 6, 2021
  • What’s new in SENSE – March 2021March 2, 2021

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  • SENSE
    • Product Details
  • Resources
    • Learn Capacitive Sensing
    • Ebooks
    • Videos
    • Test Cases
    • Blog
    • Research
  • Company
    • About Us
    • Team
    • R&D – Patents
    • Press Kit
    • Investors
    • Careers
    • Contact Us
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