logo
ResearchBunny Logo
Bragg glass signatures in PdxErTe3 with X-ray diffraction temperature clustering

Physics

Bragg glass signatures in PdxErTe3 with X-ray diffraction temperature clustering

K. Mallayya, J. Straquadine, et al.

Unlock the secrets of the elusive Bragg glass phase with groundbreaking findings from Krishnanand Mallayya and colleagues. Using advanced X-ray data and a novel machine-learning analysis tool, this study reveals a diverging correlation length in disordered materials, shedding light on the complex relationship between disorder and fluctuations.

00:00
00:00
~3 min • Beginner • English
Abstract
The Bragg glass phase is a nearly perfect crystal with glassy features predicted to occur in vortex lattices and charge-density-wave systems in the presence of disorder. Detecting it has been challenging, despite its sharp theoretical definition in terms of diverging correlation lengths. Here we present bulk probe evidence supporting a Bragg glass phase in the systematically disordered charge-density-wave material of Pd_xErTe_3. We do this by using comprehensive X-ray data and a machine-learning-based analysis tool called X-ray diffraction temperature clustering (X-TEC). We establish a diverging correlation length in samples with moderate intercalation over a wide temperature range. To enable this analysis, we introduced a high-throughput measure of inverse correlation length that we call peak spread. The detection of Bragg glass order and the resulting phase diagram advance our understanding of the complex interplay between disorder and fluctuations. Moreover, the use of our analysis technique to target fluctuations through a high-throughput measure of peak spread can revolutionize the study of fluctuations in scattering experiments.
Publisher
Nature Physics
Published On
May 01, 2024
Authors
Krishnanand Mallayya, Joshua Straquadine, Matthew J. Krogstad, Maja D. Bachmann, Anisha G. Singh, Raymond Osborn, Stephan Rosenkranz, Ian R. Fisher, Eun-Ah Kim
Tags
Bragg glass
charge-density-wave
X-ray data
machine-learning analysis
correlation length
disorder
fluctuations
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny