Read more about the article Accelerating Next-Generation Power Technologies  with AI-Powered FTCO
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Accelerating Next-Generation Power Technologies with AI-Powered FTCO

In our latest Simulation Standard we  examines how Silvaco’s AI-powered Fab Technology Co-Optimization (FTCO™) platform, combining simulation at scale, smart Design of Experiments (DOE), and machine learning (ML) surrogate models, is transforming the power device development workflow, with practical demonstrations on pGaN HEMTs, vertical GaN, and SiC DMOS technologies.

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Enabling the Next Generation of High-Voltage Power: Gallium Oxide Trench Schottky Diodes from Simulation to System

β-Ga2O3 is set to revolutionize high-voltage power conversion, with ultra-low losses and a high critical electric field that make it ideal for next-generation power devices, enabling three-phase HVDC AC/DC and DC/AC conversion in the 1–6 kV, 0.5–0.8 kA range for AI data centre power delivery, renewable energy systems, high-voltage circuit breakers, and ESD protection.

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Read more about the article Accelerating Vertical GaN Power Technology Development  with Physics-based Digital Twins for 800V DC AI  Factory Power Infrastructure
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Accelerating Vertical GaN Power Technology Development with Physics-based Digital Twins for 800V DC AI Factory Power Infrastructure

In this paper we will discuss accelerating vertical GaN power technology development with physics-based Digital Twins for 800V DC AI factory power infrastructure.

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Trajectory Replication in Monte Carlo Ion Implantation with Victory Process

This edition introduces trajectory replication in Victory Process Monte Carlo ion implantation, with a focus on:

  • Reducing computation time by reusing ion paths in similar regions
  • Maintaining physical accuracy while accelerating simulations
  • Best-use cases and scenarios to avoid
  • Achieving speed-ups of up to 10×

Continue ReadingTrajectory Replication in Monte Carlo Ion Implantation with Victory Process