2 citations · 3 across the 3 of their papers we have counts for
3 papers
physics.optics2024★ 1 cited
Machine Learning Resistant Amorphous Silicon Physically Unclonable Functions (PUFs)
Velat Kilic, Neil Macfarlane, Jasper Stround +5
We investigate usage of nonlinear wave chaotic amorphous silicon (a-Si) cavities as physically unclonable functions (PUF). Machine learning attacks on integrated electronic PUFs ha…
physics.data-an2024★ 2 cited
Physics-informed Meta-instrument for eXperiments (PiMiX) with applications to fusion energy
Zhehui Wang, Shanny Lin, Miles Teng-Levy +24
Data-driven methods (DDMs), such as deep neural networks, offer a generic approach to integrated data analysis (IDA), integrated diagnostic-to-control (IDC) workflows through data…
cond-mat.mtrl-sci2023
Shack-Hartmann wavefront sensing: A new approach to time-resolved measurement of stress intensity during dynamic fracture of small brittle specimens
Liuchi Li, Velat Kilic, Milad Alemohammad +3
The stress intensity factor is important for understanding crack initiation and propagation. Because it cannot be measured directly, the characterization of the stress intensity fa…