Rapid, comprehensive search of crystalline phases from X-ray diffraction in seconds via GPU-accelerated Bayesian variational inference
In analysis of X-ray diffraction data, identifying the crystalline phase is important for interpreting the material. The typical method is identifying the crystalline phase from the coincidence of the main diffraction peaks. This method identifies crystalline phases by matching them as individual cr...
Saved in:
Main Authors: | Ryo Murakami, Kenji Nagata, Yoshitaka Matsushita, Masahiko Demura |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2025-12-01
|
Series: | Science and Technology of Advanced Materials: Methods |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/27660400.2025.2485016 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
BAYESIAN INFERENCE OF HETEROGENEOUS VISCOPLASTIC MATERIAL PARAMETERS
by: Eliška Janouchová, et al.
Published: (2018-12-01) -
Algorithmic Techniques for GPU Scheduling: A Comprehensive Survey
by: Robert Chab, et al.
Published: (2025-06-01) -
Recursive Bayesian Decoding in State Observation Models: Theory and Application in Quantum-Based Inference
by: Branislav Rudić, et al.
Published: (2025-06-01) -
PhyBaSE: A Bayesian structural equation model approach to causal inference in phylogenetic comparative analyses
by: Achaz vonHardenberg, et al.
Published: (2025-06-01) -
An Improved GPU-accelerated MPM and Application in Landslide Modelling
by: WANG Bin, et al.
Published: (2025-07-01)