Physics-Informed Neural Networks (PINNs) - Application Use Cases @JousefLITE
Physics-Informed Neural Networks (PINNs) - Application Use Cases  @JousefLITE
Uploaded October 2021 | Updated September 2026, 1 week ago
πŸ“ˆ APEX Consulting: theapexconsulting.com
🌎 Website: jousefmurad.com

🎬 Full podcast: youtube.com/watch?v=OmySUTFwh2g

Chris Rackauckas is an Applied Mathematics Instructor at MIT, a Senior Research Analyst in the University of Maryland School of Pharmacy, and the Director of Scientific Research at Pumas-AI. He is the lead developer of the SciML open-source scientific machine learning organization which develops widely used software for scientific modeling and inference.
Chris' work on high-performance differential equation solving is the centerpiece accelerating many applications from the MIT-CalTech CLiMA climate modeling initiative to the SIAM DSWeb award-winning DynamicalSystems.jl toolbox. Chris is also the lead developer of Pumas, the foundational software of Pumas-AI for nonlinear mixed-effects modeling in clinical pharmacology.
For this work in pharmacology, Chris received the Emerging Scientist award from ISoP, the highest early career award in pharmacometrics.

ONLINE PRESENCE
================
🌍 My website - jousefmurad.com
πŸ’Œ My weekly science newsletter - jousef.substack.com
πŸ“Έ Instagram - instagram.com/jousefmrd
🐦 Twitter - twitter.com/Jousefm2


SUPPORT MY WORK
=================
πŸ‘• Science Merch: engineered-mind.creator-spring.com
πŸ‘‰ Become my Patreon: patreon.com/theengiineer

🧠 Subscribe for more free videos: bit.ly/2RLmMxq

RECOMMENDATIONS
==================
πŸŽ₯ 1 Month Free of Skillshare Premium: bit.ly/3E3bXwC
πŸ“• Books on AI, Data Science & Programming: bit.ly/2I1lUD1 - use "podengineered20" to get a 40% discount!


CONTACT:
-----------------
If you need help or have any questions or want to collaborate feel free to reach out to me via email: engineeringmkl@gmail.com

#AI
#PINN
#MachineLearning

Disclaimer: Some of these links are affiliate links which make me earn a small commission when you make a purchase at no additional cost to you.
Physics-Informed Neural Networks (PINNs) - Application Use CasesMastering Advanced AI with MATLAB and SimulinkWhat is Reinforcement Learning?The ONE FEA/FEM AdviceLearning How to Learn FEA – Łukasz Skotny | Podcast ClipsπŸŽ™οΈSimulation for All ➑️ Simulation DemocratisedFrom a Joke to a Successful CFD BookπŸ“˜Is Medical Software and Simulations in Modern Medicine Trusted?  🩺Tackling Scientific Problems with Deep Learning - Hugo Penedones | The Science CircleColdStream: The generative design tool to solve all your thermal problems - Roxane Van MellaertCrash Test Simulation in EngineeringThe limitations of econo #circuit models
Jousef Murad LITE |

Physics-Informed Neural Networks (PINNs) - Application Use Cases

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER