In this article, we will discuss Genetic Algorithm and how it can be used for Film Bulk Acoustic Resonator (FBAR) design optimization.

With OnScale, full 3D Piezoelectric Micromachined Ultrasonic Transducer (PMUT) array simulations can be carried out. While single cell results are useful, the ideal workflow would go much further. OnScale’s ability to solve large problems allows engineers to move beyond an initial single cell model and help to consider the effect of full array configurations. Using PMUT’s as an example, designers are now using OnScale to simulate PMUT arrays with the full display stack up, allowing them to assess the impact of manufacturing tolerances on imaging arrays.

Last week OnScale were silver sponsors at IEEE IUS 2019 in Glasgow. The event was extremely successful, and we were delighted that so many event attendees were attracted to our booth. We’d like to thank everyone who stopped by booth #14 to speak with us!

In this article, we will discuss the different Key Performance Indicators for devices and how these can be extracted in OnScale using Review.

We are very excited to announce the expansion of our Glasgow Office, following a £450,000 Regional Selective Assistance (RSA) grant from Scottish Enterprise.

We’ve made some changes to our Help Center! You can check out the new look here!

Thank you to everyone who was able to attend our Optimizing MEMS R&D with OnScale workshop in Boston. The workshop covered the capabilities and technology of the OnScale approach to semiconductor, MEMS, transducers, and sensors simulation. We also discussed the future of engineering simulation and how OnScale helps engineers to increase productivity and reduce time and cost.

In today's smart devices, the RF Front-End (Also called RFFE) represents all the circuitry between High frequency data received from Antennas to near-zero frequency baseband signals.

Acoustic measurements based on guided sonic and ultrasonic wave propagation in multilayered structures are used for several different applications in the Oil and Gas (O&G) industry. One of these applications is borehole sonic logging where the propagation characteristics of these waves are recorded and analyzed as function of well bore depth. Petrophysicists can then develop methods to use these real-time measurements to estimate porosity, permeability, formation mechanical properties, fracture & lithology identification, stresses in thin layers, and borehole integrity. These inversion methods for analyzing sonic measurements are based on high fidelity, physics-based models and signal process algorithms to provide engineers reliable information so that they can make informed decision on the availability and safe production of hydrocarbons in an optimal time frame. The physics-based models that are required to generate the necessary synthetic data sets in real-time are computationally intensive, both in time and memory (RAM) This limits their integration into an integrated workflow that will help an engineer make informed decisions in real-time based on these sonic measurements. OnScale have developed fast time domain multiphysics FEA solvers and seamlessly integrated them with cloud high performance compute (HPC) capabilities that addresses these constraints. Further, OnScale can execute massively parallel simulations with an almost linear scalability, allowing users to consider problems far in excess of anything previously attainable from legacy FEA packages

Geometry is the basic building block of any simulation, and while you can create models natively in OnScale, you may also decide to use an external geometry source. CAD tools provide focused and streamlined workflows for creating complex geometry and if you've already designed a model in another tool it can be quicker to use this geometry instead of recreating it in OnScale.