Author

Ang-Kun Wu

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Preprint Sep 2026

Approaching the Inverse Neutron Scattering Problem with Neural Networks

Determining the microscopic Hamiltonian of a quantum magnet from inelastic neutron scattering measurements remains a central challenge in condensed matter physics. While the dynamical spin structure factor contains, in principle, sufficient information about the underlying interactions, extracting Hamiltonian parameter...

Jing-Yi Luo, Fletcher Williams, Ang-Kun Wu et al. · 0 citations

#machine learning Preprint Sep 2026

Geometric Mean Pooling for Equal-Weight Multiplicative Coarse-Graining

Geometric Mean Pooling is introduced, a signed pooling operator that combines the product of feature signs with the geometric mean of feature magnitudes and retains both joint sign information and a characteristic multiplicative scale without introducing learnable pooling parameters.

Ang-Kun Wu, Fang-Di Wen, Jing-Tao Zhang · 0 citations