Nature

Training a convolutional neural network for exoplanet classification with transit photometry data

The search for exoplanets aims to identify planets with compositions similar to Earth’s, providing insights into planetary formation and habitability. As a result, efforts to enhance the efficiency of ...
Nature

Automated design for physics-informed modeling with convolutional neural networks

Physics-informed convolutional neural networks (PICNNs) have emerged as a powerful extension of physics-informed neural networks (PINNs), offering superior generalization and efficiency for solving ...