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cs.LG2026
RepNN: Tackling spectral bias in deep neural networks for regression and PDE problems via parameter reparameterization
Yong Wang, Tao Zhou, Xuhui Meng
Deep neural networks (DNNs) have achieved remarkable success in scientific computing, yet they often suffer from spectral bias in capturing oscillatory and multiscale behaviors. In…
cs.LG2025
DONUT: Physics-aware Machine Learning for Real-time X-ray Nanodiffraction Analysis
Aileen Luo, Tao Zhou, Ming Du +3
Coherent X-ray scattering techniques are critical for investigating the fundamental structural properties of materials at the nanoscale. While advancements have made these experime…