11 citations · 19 across the 10 of their papers we have counts for
12 papers
Posterior Inference of Hamiltonian Parameters from RIXS Spectroscopy
Samuel Klein, Thomas M. Linker, Louis Conreux +14
We present the first application of simulation-based inference to resonant inelastic X-ray scattering spectroscopy. Using truncated marginal neural ratio estimation to efficiently…
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…
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…
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…
Using magnetic dynamics to measure the spin gap in a candidate Kitaev material
Xinyi Jiang, Qingzheng Qiu, Cheng Peng +16
Materials potentially hosting Kitaev spin-liquid states are considered crucial for realizing topological quantum computing. However, the intricate nature of spin interactions withi…
Kitaev physics in the two-dimensional magnet NiPSe
Cheng Peng, Sougata Mardanya, Alexander N. Petsch +6
The Kitaev interaction, found in candidate materials such as -RuCl, occurs through the metal ()-ligand ()-metal () paths of the edge-sharing octahedra because the l…
Skyrmions: A review on materials perspective for future electronic devices
Vineet Kumar Sharma, Alana Okullo, Jalen Garner +7
Recent years have witnessed an enormous rise in research interest in magnetic skyrmions owing to their capability to improve over contemporary spintronic devices. An overview of th…
Self-Supervised Generative Models for Crystal Structures
Fangze Liu, Zhantao Chen, Tianyi Liu +4
Drawing inspiration from the achievements of natural language processing, we adopt self-supervised learning and utilize an equivariant graph neural network to develop a unified pla…
Augmenting x-ray single particle imaging reconstruction with self-supervised machine learning
Zhantao Chen, Cong Wang, Mingye Gao +3
The development of X-ray Free Electron Lasers (XFELs) has opened numerous opportunities to probe atomic structure and ultrafast dynamics of various materials. Single Particle Imagi…
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…
Capturing dynamical correlations using implicit neural representations
Sathya Chitturi, Zhurun Ji, Alexander Petsch +16
The observation and description of collective excitations in solids is a fundamental issue when seeking to understand the physics of a many-body system. Analysis of these excitatio…