Zhurun Ji
Physical Science Research Scientist, T. H. Geballe Laboratory for Advanced Materials
Academic Appointments
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Physical Science Research Scientist, T. H. Geballe Laboratory for Advanced Materials
All Publications
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Characterization of Two Fast-Turnaround Dry Dilution Refrigerators for Scanning Probe Microscopy
JOURNAL OF LOW TEMPERATURE PHYSICS
2024
View details for DOI 10.1007/s10909-023-03035-4
View details for Web of Science ID 001190209400002
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Capturing dynamical correlations using implicit neural representations.
Nature communications
2023; 14 (1): 5852
Abstract
Understanding the nature and origin of collective excitations in materials is of fundamental importance for unraveling the underlying physics of a many-body system. Excitation spectra are usually obtained by measuring the dynamical structure factor, S(Q, ω), using inelastic neutron or x-ray scattering techniques and are analyzed by comparing the experimental results against calculated predictions. We introduce a data-driven analysis tool which leverages 'neural implicit representations' that are specifically tailored for handling spectrographic measurements and are able to efficiently obtain unknown parameters from experimental data via automatic differentiation. In this work, we employ linear spin wave theory simulations to train a machine learning platform, enabling precise exchange parameter extraction from inelastic neutron scattering data on the square-lattice spin-1 antiferromagnet La2NiO4, showcasing a viable pathway towards automatic refinement of advanced models for ordered magnetic systems.
View details for DOI 10.1038/s41467-023-41378-4
View details for PubMedID 37730824
View details for PubMedCentralID 8662964