Journal Article

FZJ-2026-04046

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Kalman filter enhanced active learning sampling for inelastic neutron scattering: The case of CrSBr

Abuawwad, N.FZJ* ; Zhang, Y. ; Lounis, S. (Corresponding author)FZJ* ; Zhang, H.

2025
Inst. Woodbury, NY

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Please use a persistent id in citations: doi:10.1103/PhysRevB.111.054404  doi:10.34734/FZJ-2026-04046

Abstract: Spin waves, or magnons, are fundamental excitations in magnetic materials that provide insights into their dynamic properties and interactions. Magnons are the building blocks of magnonics, which offer promising perspectives for data storage, quantum computing, and communication technologies. These excitations are typically measured through inelastic neutron or x-ray scattering techniques, which involve heavy and time-consuming measurements, data processing, and analysis based on various theoretical models. Here, we introduce a machine-learning algorithm that integrates adaptive noise reduction and active-learning sampling, which enables the restoration from minimal inelastic neutron-scattering point data of spin-wave information and the accurate extraction of magnetic parameters, including hidden interactions. Our findings, benchmarked against the magnon spectra of CrSBr, significantly enhance the efficiency and accuracy in addressing complex and noisy experimental measurements. This advancement offers a powerful machine-learning tool for research in magnonics and spintronics, which can also be extended to other characterization techniques at large facilities.

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Contributing Institute(s):

1. Quanten-Theorie der Materialien (PGI-1)

Research Program(s):

1. 5211 - Topological Matter (POF4-521) (POF4-521)
2. Pilotprojekt zur Entwicklung eines palästinensisch-deutschen Forschungs- und Promotionsprogramms 'Palestinian-German Science Bridge' (01DH16027) (01DH16027)
3. DFG project G:(GEPRIS)443405092 - Konstruktion von 2D van der Waals Magnetismus auf der Nanoskala (443405092) (443405092)
4. DFG project G:(GEPRIS)462676712 - iAFMskyrmionen- Intrinsische antiferromagnetische Skyrmionen aus ersten Prinzipien: Von der Stabilisierung, der Interaktion mit Defekten bis zum effizienten Nachweis (462676712) (462676712)

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Electronics and Telecommunications Collection ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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