EDA
System
IP
SolvNetPlus
Training & Education
ML-Enhanced TCAD Calibration With 10x Reduction in Time to Results
Date: Oct 15, 2025 | 5:00 PM PST
Featured Speakers:
- Saurabh Suryavanshi, Product Manager, Synopsys
- Youngkwon Cho, Senior Staff Engineer, Synopsys
- Dipanjan Basu, Principal Engineer, Synopsys
Calibration is an essential part of enabling TCAD products usages inside Semiconductor fab. Synopsys has been leading the development of ML-enhanced calibration that reduce the time to results by 10x while improve the quality of results. In this Synopsys Webinar, our team will provide overview of TCAD calibration and recent advances in ML-based calibration.
Why You Should Attend:
- Cut TCAD calibration time and accelerate project delivery by 10x.
- Overcome accuracy challenges in semiconductor manufacturing.
- Streamline calibration workflows for better efficiency.
Register Now
Featured Speakers
Product Manager, Synopsys
Saurabh is a Product Manager in the Manufacturing Solutions group at Synopsys, specializing in Digital Twin, machine learning, and GenAI technologies to accelerate semiconductor innovation. He holds a PhD in Electrical Engineering from Stanford University. Saurabh is a recognized expert with over 30 publications, multiple patents, and a strong track record of helping engineers improve productivity and reduce R&D costs.
Senior Staff Engineer, Synopsys
Youngkwon Cho is a Senior Staff Engineer at Synopsys, leading development of machine learning-based calibration solutions for TCAD simulation. He holds a PhD in applied physics from Ajou University and has deep expertise in optical simulation, process optimization, and AI/ML tools.
Principal Engineer, Synopsys
Dipanjan is a technology evangelist dedicated to enhancing semiconductor manufacturing productivity through modeling and simulation. He has extensive experience in device physics, compact modeling, and quantum transport simulation, and leads initiatives to accelerate technology development using TCAD and DTCO strategies.