3 papers
cs.LG2026
Physics-Consistent Neural Networks for Learning Deformation and Director Fields in Microstructured Media with Loss-Based Validation Criteria
Milad Shirani, Pete H. Gueldner, Murat Khidoyatov +2
In this work, we study the mechanical behavior of solids with microstructure using the framework of Cosserat elasticity with a single unit director. This formulation captures the c…
physics.flu-dyn2025
A data-driven framework to identify restenosis-prone regions in femoral arteries from geometric and inflow waveform parameters
Chotirawee Chatpattanasiri, Federica Ninno, Vanessa Dıaz-Zuccarini +1
Haemodynamic indices derived from Computational Fluid Dynamics (CFD), such as Time-averaged Wall Shear Stress (TAWSS) and Oscillatory Shear Index (OSI), are closely associated with…
physics.flu-dyn2024
ML-ROM Wall Shear Stress Prediction in Patient-Specific Vascular Pathologies under a Limited Clinical Training Data Regime
Chotirawee Chatpattanasiri, Federica Ninno, Catriona Stokes +6
High-fidelity numerical simulations such as Computational Fluid Dynamics (CFD) have been proven effective in analysing haemodynamics, offering insight into many vascular conditions…