VISION TRANSFORMERS FOR X-RAY DIFFRACTION PATTERNS ANALYSIS - Institut Denis Poisson
Pré-Publication, Document De Travail Année : 2024

VISION TRANSFORMERS FOR X-RAY DIFFRACTION PATTERNS ANALYSIS

Résumé

Understanding materials properties depends largely on the ability to determine its components, and in particular its mineral phases. Powder X-ray diffraction (XRD) is a powerful tool for such purposes. This paper presents a Transformerbased vision model (ViT) for mineral phase identification, and proportion inference to quantify the mineral phases present in a material. Our analysis shows that the tokenization strategy is a critical step for XRD pattern analysis. The results obtained for both tasks are excellent and more robust than those obtained with a CNN. The proposed approach also makes it possible to introduce visualization tools for signal analysis, to better understand how information flows through the model and how data is classified or quantified.
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Dates et versions

hal-04696156 , version 1 (12-09-2024)

Identifiants

  • HAL Id : hal-04696156 , version 1

Citer

Titouan Simonnet, Mame Diarra Fall, Sylvain Grangeon, Bruno Galerne. VISION TRANSFORMERS FOR X-RAY DIFFRACTION PATTERNS ANALYSIS. 2024. ⟨hal-04696156⟩
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