Critical fluctuations and noise spectra in two-dimensional Fe3GeTe2 magnets

Yuxin Li, Zhe Ding, Chen Wang, Haoyu Sun, Zhousheng Chen, Pengfei Wang, Ya Wang, Ming Gong (), Hualing Zeng (), Fazhan Shi () and Jiangfeng Du
Additional contact information
Yuxin Li: University of Science and Technology of China
Zhe Ding: University of Science and Technology of China
Chen Wang: University of Science and Technology of China
Haoyu Sun: University of Science and Technology of China
Zhousheng Chen: University of Science and Technology of China
Pengfei Wang: University of Science and Technology of China
Ya Wang: University of Science and Technology of China
Ming Gong: University of Science and Technology of China
Hualing Zeng: University of Science and Technology of China
Fazhan Shi: University of Science and Technology of China
Jiangfeng Du: University of Science and Technology of China

Nature Communications, 2025, vol. 16, issue 1, 1-9

Abstract: Abstract Critical fluctuations play a crucial role in determining spin orders in low-dimensional magnetic materials. However, experimentally linking these fluctuations to scaling theory-and thereby uncovering insights into spin interaction models-remains a challenge. Here, we utilize a nitrogen-vacancy center-based quantum decoherence imaging technique to probe critical fluctuations in the van der Waals magnet Fe3GeTe2. Our data reveal that critical fluctuations produce a random magnetic field, with noise spectra undergoing significant changes near the critical temperature. To explain this phenomenon, we developed a theoretical framework showing that the spectral density exhibits 1/f noise characteristics near the critical temperature, transitioning to white noise behavior away from this regime. By experimentally adjusting the sample-to-diamond distance, we identified the crossover temperature between these two noise types. These findings offer an approach to studying phase transition dynamics through critical fluctuations, enabling precise determination of critical exponents associated with long-range correlations. This methodology holds promise for advancing our understanding of critical phenomena across diverse physical systems.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-63578-w Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63578-w

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-63578-w

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().