CoPhy-PGNN: Learning Physics-Guided Neural Networks with Competing Loss Functions

Explore a groundbreaking approach to solving eigenvalue problems in this 52-minute conference talk from the Alan Turing Institute. Delve into the innovative CoPhy-PGNN method, which combines physics-guided neural networks with competing loss functions. Learn how this novel technique enhances the accuracy and efficiency of solving complex eigenvalue problems, bridging the gap between traditional numerical methods and modern machine learning approaches. Gain insights into the practical applications and potential impact of this research across various scientific and engineering domains.