"Machine Learning Unveils Elusive Bragg Glass Phase in Materials Science"

TL;DR Summary
Physicists at Cornell University have used a new machine learning data analysis tool to detect the elusive Bragg glass phase in the systematically disordered charge density wave (CDW) material, PdxErTe3, settling a long-standing question about its existence in real materials. The discovery, published in Nature Physics, was made possible by analyzing large volumes of X-ray data and using the machine learning tool X-ray Temperature Clustering (X-TEC) to identify subtle signatures of the Bragg glass phase, significantly advancing our understanding of the complex interplay between disorder and fluctuations in materials.
Topics:science#bragg-glass-phase#cdw-materials#data-analysis#machine-learning#physics#x-ray-diffraction
- Physicists detect elusive 'Bragg glass' phase with machine learning tool Phys.org
- Unraveling the Mystery of Bragg Glass: A Breakthrough in Materials Science BNN Breaking
- Machine Learning Tool Detects Elusive Bragg Glass Phase Mirage News
- Physicists detect elusive 'Bragg glass' phase with machine learning tool The College of Arts & Sciences
- Machine Learning Reveals Elusive Bragg Glass Phase in Crystal BNN Breaking
Reading Insights
Total Reads
0
Unique Readers
0
Time Saved
4 min
vs 5 min read
Condensed
89%
805 → 89 words
Want the full story? Read the original article
Read on Phys.org