Accurate quantification of dislocation loops in complex functional alloys enabled by deep learning image analysis

T Bilyk, AM Goryaeva, MC Marinica, C Flament… - Scientific Reports, 2024 - nature.com
In-depth statistics of individual defects observed during transmission electron microscopy
(TEM) experiments are essential for the thorough characterization of materials. In this study …

Pre-trained artificial intelligence-aided analysis of nanoparticles using the segment anything model

GAA Monteiro, BAA Monteiro, JA Dos Santos… - Scientific Reports, 2025 - nature.com
Complex structures can be understood as compositions of smaller, more basic elements.
The characterization of these structures requires an analysis of their constituents and their …

Image-Based Fracture Surface Defect Characterization Methods for Additively Manufactured Ti-6Al-4V Tested in Fatigue

A Ngo, K Hernandez, AE Olatunde, TG Ciardi… - JOM, 2024 - Springer
Fatigue initiation in additively manufactured samples/parts often occurs at processed-
induced defects such as lack-of-fusion (LoF), keyhole, or other morphological/microstructural …

Predicting Performance of Object Detection Models in Electron Microscopy Using Random Forests

N Li, R Jacobs, M Lynch, V Agrawal, K Field… - arXiv preprint arXiv …, 2025 - arxiv.org
Quantifying prediction uncertainty when applying object detection models to new, unlabeled
datasets is critical in applied machine learning. This study introduces an approach to …

Pre-trained artificial intelligence-aided analysis of nanoparticles using the segment anything model

G Alemao Monteiro, BA Alemao Monteiro… - 2025 - kops.uni-konstanz.de
Complex structures can be understood as compositions of smaller, more basic elements.
The characterization of these structures requires an analysis of their constituents and their …