Learn How Silvaco Flow Helps Designing and Simulating Pixel Arrays in Flat Panel Displays and Detectors

June 30, 2022 In this webinar, we highlight how leading display and detector companies exploit the capabilities of Silvaco tools for schematic and layout editing, very accurate field solver-based parasitic extraction required by modern TFT technology, back-annotation of parasitic RC elements into the netlist, and fast and accurate SPICE simulations of large arrays of pixels.

How to Use Victory Quantum Transport Models for Atomistic Device Performance Predictions

May 5, 2022 In this webinar, the latest incoherent scattering models of the quantum transport implementations are presented. They faithfully reproduce--without adjustable parameters--experimental observations of band gap narrowing and Urbach band tails in a sequence of III-V semiconductors and transition metal dichalcogenides.

Learn How mqSemi AG Developed 3D Power Devices Proof of Concept with Silvaco TCAD Simulations

March 24, 2022 | 10:00 am – 10:30 am (PDT) In this Webinar, we will introduce mqSemi and the 3D TCAD models and simulation results while highlighting Silvaco`s powerful Victory Process and Device.

How Silvaco TCAD is at the Heart of Innovation in RF Devices

March 17, 2022 | 10:00 am – 10:30 am (PDT) In this Webinar, Silvaco’s TCAD Victory Device simulation tool is used to model both small- and large-signal behavior of various types of silicon-based substrates.

How to Use Device Simulation as a Tool for Understanding GaN HEMTs

February 24, 2022 | 10:00 am – 10:30 am (PST)
 This webinar will illustrate through specific published examples of how TCAD device simulation of GaN based devices can be a powerful tool to help explain complex performance limiting device instabilities in both RF and power devices.

Learn How to Perform Device Meshing with Silvaco’s Victory Mesh TCAD Solution

January 27, 2022 | 10:00 am – 10:30 am (PST) This webinar gives an overview of Victory Mesh’s Conformal meshing (semi-structured Cartesian-based sampling) and Delaunay meshing (unstructured sampling) and their refinement capabilities.