Transformers in Material Science: Roles, Challenges, and Future Scope
N Rane - Challenges, and Future Scope (March 26, 2023), 2023 - papers.ssrn.com
This study explores the diverse applications, challenges, and future prospects of employing
vision transformers in various material science domains, including biomaterials, ceramic …
vision transformers in various material science domains, including biomaterials, ceramic …
Transfer Learning for Microstructure Segmentation with CS-UNet: A Hybrid Algorithm with Transformer and CNN Encoders
Transfer learning improves the performance of deep learning models by initializing them
with parameters pre-trained on larger datasets. Intuitively, transfer learning is more effective …
with parameters pre-trained on larger datasets. Intuitively, transfer learning is more effective …
Deep learning-based melt pool and porosity detection in components fabricated by laser powder bed fusion
Microstructure analysis is a crucial aspect of additive manufacturing (AM) processes, as it
offers valuable insights into material properties, defects, and quality of printed parts …
offers valuable insights into material properties, defects, and quality of printed parts …
Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy
Austenitic 347H stainless steel offers superior mechanical properties and corrosion
resistance required for extreme operating conditions such as high temperature. The change …
resistance required for extreme operating conditions such as high temperature. The change …
[HTML][HTML] Analysis of the Possibility of Using Selected Tools and Algorithms in the Classification and Recognition of Type of Microstructure
M Szatkowski, D Wilk-Kołodziejczyk, K Jaśkowiec… - Materials, 2023 - mdpi.com
The aim of this research was to develop a solution based on existing methods and tools that
would allow the automatic classification of selected images of cast iron microstructures. As …
would allow the automatic classification of selected images of cast iron microstructures. As …
Data-driven Image Segmentation of Complex Microstructures with Deep Learning
B Lei - 2022 - search.proquest.com
In quantitative microscopy, image segmentation plays a central role in quantitative
measurements and analyses of microstructure constituents. Developing effective and …
measurements and analyses of microstructure constituents. Developing effective and …