2 papers
cs.LG2025
Input Specific Neural Networks
Asghar A. Jadoon, D. Thomas Seidl, Reese E. Jones +1
The black-box nature of neural networks limits the ability to encode or impose specific structural relationships between inputs and outputs. While various studies have introduced a…
cs.CE2024
Advancements in Constitutive Model Calibration: Leveraging the Power of Full-Field DIC Measurements and In-Situ Load Path Selection for Reliable Parameter Inference
Denielle Ricciardi, D. Tom Seidl, Brian Lester +2
Accurate material characterization and model calibration are essential for computationally-supported engineering decisions. Current characterization and calibration methods (1) use…