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…
physics.optics2022
Photon-pair generation in a heterogeneous silicon photonic chip
Mingwei Jin, Neil MacFarlane, Zhaohui Ma +4
Integrated Silicon photonics has played an important role in advancing the applications of quantum information and quantum science. However, due to different material properties, i…