Quantitative Convolutional Neural Network Based Multi-Phase XRD Pattern Analysis
X-ray diffraction (XRD) is commonly used to analyze phase compositions of crystalline samples. Medical applications include the analysis of biotechnological materials and gall- and kidney stones, where composition can inform pathology assessment. XRD analysis methods like Rietveld refinement require...
Saved in:
| Main Authors: | Höfer Hawo H., Orth André, Schweidler Simon, Breitung Ben, Aghassi-Hagmann Jasmin, Reischl Markus |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2024-12-01
|
| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2024-2075 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
High‐Entropy Metal–Organic Frameworks and Their Derivatives: Advances in Design, Synthesis, and Applications for Catalysis and Energy Storage
by: Jiangyuan Xing, et al.
Published: (2025-02-01) -
A Comprehensive Guide to Fully Inkjet‐Printed IGZO Transistors
by: Lorenzo Magnarin, et al.
Published: (2025-04-01) -
Influence of the SHI Irradiation on the XRD, AFM, and Electrical Properties of CdSe Thin Films
by: Rajesh Singh, et al.
Published: (2016-06-01) -
Study on reasonable determination method of XRD spectral parameters and its response to coal graphitization
by: Guangqing HU, et al.
Published: (2025-02-01) -
Layered high-entropy sulfides: boosting electrocatalytic performance for hydrogen evolution reaction by cocktail effects
by: Ling Lin, et al.
Published: (2024-01-01)