[HTML][HTML] Micro-destructive assessment of subgrade compaction quality using ultrasonic pulse velocity
X Wang, X Dong, X Li, J Zhang, G Ma, J Li - Journal of Rock Mechanics …, 2024 - Elsevier
The ultrasonic pulse velocity (UPV) correlates significantly with the density and pore size of
subgrade filling materials. This research conducts numerous Proctor and UPV tests to …
subgrade filling materials. This research conducts numerous Proctor and UPV tests to …
A review on the applications of graph neural networks in materials science at the atomic scale
X Shi, L Zhou, Y Huang, Y Wu… - Materials Genome …, 2024 - Wiley Online Library
In recent years, interdisciplinary research has become increasingly popular within the
scientific community. The fields of materials science and chemistry have also gradually …
scientific community. The fields of materials science and chemistry have also gradually …
Machine learning aided prediction of sintering induced swelling in powder metallurgical Cu-Sn alloys
T Kamal, A Upadhyaya - Computational Materials Science, 2024 - Elsevier
Abstract Powder metallurgy processed Cu-Sn alloys consolidated via liquid phase sintering
(LPS) often contain significant amount of porosity which not only deteriorates their …
(LPS) often contain significant amount of porosity which not only deteriorates their …
Adhesion Testing System Based on Convolutional Neural Networks for Quality Inspection of Flexible Strain Sensors
II Medina, G Arana, ACC Atoche… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Manufacturing reliable strain sensors based on nanostructured materials faces several
challenges, such as ensuring quality inspection of the adhesion between the active sensor …
challenges, such as ensuring quality inspection of the adhesion between the active sensor …