1 citations · 1 across the 2 of their papers we have counts for
5 papers
Observation geometry for uncertainty-aware Hamiltonian inference and experimental design in quantum magnets
Roy Liu, Venugopal Ranganathan, David Dahlbom +12
Determining microscopic interactions from spectroscopic and scattering measurements is central to understanding quantum materials, yet it often remains unclear which interactions c…
Multi-resolution Enhancement for Full Spectrum Neural Representations
Yuan Ni, Zhantao Chen, Shizhou Xu +5
Scientific data acquisition continues to outpace storage and analysis capabilities, making voxel-based representations increasingly intractable. Implicit neural representations (IN…
femto-PIXAR: a neural network method for reconstruction of femtosecond X-ray free electron laser pulse energy
Gesa Goetzke, Rajan Plumley, Gregor Hartmann +6
X-ray Free Electron Lasers (X\nobreakdash-FELs) operate in a wide range of lasing configurations for a broad variety of scientific applications at ultrafast time-scales such as str…
Physics-Guided Dual Implicit Neural Representations for Source Separation
Yuan Ni, Zhantao Chen, Alexander N. Petsch +7
Significant challenges exist in efficient data analysis of most advanced experimental and observational techniques because the collected signals often include unwanted contribution…
3D Heisenberg universality in the Van der Waals antiferromagnet NiPS
Rajan Plumley, Sougata Mardanya, Cheng Peng +20
Van der Waals (vdW) magnetic materials are comprised of layers of atomically thin sheets, making them ideal platforms for studying magnetism at the two-dimensional (2D) limit. Thes…