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GPU-Accelerated Atomistic Simulations for Semiconductor Manufacturing
Date: Aug 12, 2025 | 10:00 AM PST
Featured Speakers:
- Anders Blom, Principal Solutions Engineer, Synopsys
- Gabriele Penazzi, Senior Staff Engineer, Synopsys
- Vaida Arcisauskaite, Staff Engineer, Synopsys
Join us to explore the transformative impact of atomistic simulations and GPU acceleration on materials engineering.
Learn how these technologies are revolutionizing the exploration of new materials by reducing simulation turnaround times, increasing model sizes, and enabling more accurate predictions.
Key topics include:
- The role of atomistic simulations in screening, analyzing, and optimizing materials.
- How GPU acceleration is breaking traditional barriers in density functional theory (DFT) and machine-learned potentials (MLPs).
- Real-world examples of speedups achieved with Synopsys QuantumATK, enabling simulations of larger systems and more complex materials.
- The integration of AI and machine learning to enhance simulation accuracy and efficiency.
Register now to discover cutting-edge solutions and unlock new possibilities in materials engineering!
Watch On-Demand
Featured Speakers
Principal Solutions Engineer, Synopsys
Anders has over 25 years of experience in atomistic materials modeling and quantum transport simulations. He holds a PhD in physics from Lund University and has played a key role in the development of QuantumATK since its early days. Anders has published extensively in the field and brings deep expertise in leveraging advanced simulation technologies to accelerate materials engineering.
Senior Staff Engineer, Synopsys
Gabriele specializes in computational methods for atomistic modeling of electronic structure and charge transport. With a PhD in Electronic Engineering and extensive experience developing QuantumATK, he brings valuable expertise in advanced simulation technologies for materials engineering.
Staff Engineer, Synopsys
Vaida has over 18 years of experience in atomistic materials modeling. She holds a PhD in Chemistry from the University of Copenhagen and specializes in helping customers apply advanced QuantumATK features such as GPU acceleration and machine-learned techniques to accelerate materials engineering.