32 min

AI Physics Simulation Toolkit SimNet & PINNs - Sanjay Choudhry | Podcast #61 The Engineered-Mind Podcast | Engineering, AI & Technology

    • Education

Sanjay is a senior director at NVIDIA with a strong background in both traditional computational methods as well as machine learning in science and engineering. He leads the engineering efforts on SimNet and is passionate about development of AI-based simulation solutions for industrial applications.   

NVIDIA SimNet is a Physics-Informed Neural Networks (PINNs) toolkit for engineers, scientists, students, and researchers who either want to get started with AI-driven physics simulations, or would like to leverage a powerful framework to implement their domain knowledge to solve complex nonlinear physics problems with real-world applications.

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🧠 Free Science Community: community.sci-circle.com

👉 Science Academy: academy.jousefmurad.com

📥 Weekly free science insights newsletter: jousef.substack.com

🐤 Follow me on Twitter: @jousefm2

📷 Follow me on Instagram: @jousefmrd

Feel free to support the podcast on Patreon: patreon.com/theengiineer

Sanjay is a senior director at NVIDIA with a strong background in both traditional computational methods as well as machine learning in science and engineering. He leads the engineering efforts on SimNet and is passionate about development of AI-based simulation solutions for industrial applications.   

NVIDIA SimNet is a Physics-Informed Neural Networks (PINNs) toolkit for engineers, scientists, students, and researchers who either want to get started with AI-driven physics simulations, or would like to leverage a powerful framework to implement their domain knowledge to solve complex nonlinear physics problems with real-world applications.

—————————————————————————————

🧠 Free Science Community: community.sci-circle.com

👉 Science Academy: academy.jousefmurad.com

📥 Weekly free science insights newsletter: jousef.substack.com

🐤 Follow me on Twitter: @jousefm2

📷 Follow me on Instagram: @jousefmrd

Feel free to support the podcast on Patreon: patreon.com/theengiineer

32 min

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