Month: February 2024

Model-training framework for mesoscience-guided deep learning. Credit: Li Guo Deep learning modeling that incorporates physical knowledge is currently a hot topic, and a number of excellent techniques have emerged. The most well-known one is the physics-informed neural networks (PINNs). PINN...

Sample and density maps of synthetic datasets projected onto CLIP latent planes, computed via measure functions described in Section 5.1. Top: Random sampling (Rand50) creates high-density clusters and have sparse representation of extreme measures. Bottom: QDGS (QD50) can create more...