S25-538 Prior-Informed Neural Framework for Super-Resolution Reconstruction from Sparse Measurements Researchers at Stanford have developed a general software framework that reconstructs high-resolution spatial fields from sparse, irregular, or noisy measurements. Lei Xing Siqi Wang