Unleashing the Force: Blending Neural Networks and Physics for Epic Predictions (Ep. 230)

<p>In this enlightening episode of our podcast, we delve into the fascinating realm of Physics Informed Neural Networks (PINNs) and explore how they combine the extraordinary prediction capabilities of neural networks with the unparalleled accuracy of physics models.</p> <p>Join us as we unravel the mysteries behind PINNs and their potential to revolutionize various scientific and engineering domains. We'll discuss the underlying principles that enable these networks to incorporate physical laws and constraints, resulting in enhanced predictions and a deeper understanding of complex systems.</p> <p> </p> <p>Sponsors</p> <p>This episode is supported by Mimecast - the email security solution that every business needs. With Mimecast, you get a security solution that is specifically designed for email and workplace collaboration. Head to <a href='https://mimecast.com'>mimecast.com</a> for a free trial.</p> <p> </p> <p> </p> <p>References</p> <p class="project-name">Physics Informed Deep Learning <a href='https://maziarraissi.github.io/PINNs/'>https://maziarraissi.github.io/PINNs/</a></p>