3 papers
cs.CE2025
StrengthLawExtractor: A Fiji plugin for 3D morphological feature extraction from X-ray micro-CT data
Qinyi Tian, Laura E. Dalton
Non-destructive methods are essential for linking the microstructural geometry of porous materials to their mechanical behavior, as destructive testing is often infeasible due to l…
cs.CV2025
InSituRes: A Physics-Informed Same-Grid Model for Enhanced Dynamic X-ray Micro-CT Reconstructions
Qinyi Tian, Andrea Bisciotti, Soniya Tiwari +2
X-ray micro-computed tomography (micro-CT) provides non-destructive three-dimensional (3D) imaging of porous material microstructures. In situ experiments, including mechanical loa…
cs.LG2025
Learning Latent Hardening (LLH): Enhancing Deep Learning with Domain Knowledge for Material Inverse Problems
Qinyi Tian, Winston Lindqwister, Manolis Veveakis +1
Advancements in deep learning and machine learning have improved the ability to model complex, nonlinear relationships, such as those encountered in complex material inverse proble…