5 papers
Multi-scale reconstruction of single-ion damage tracks in diamond via nitrogen-vacancy centers
Daniel G. Ang, Jiashen Tang, Maximilian Shen +9
Understanding particle-induced damage tracks in solid-state materials underpins emerging applications in rare-event detection and quantum defect engineering. Resolving these tracks…
AC magnetometry in the strong drive regime with NV centers in diamond
Katrijn Everaert, Saipriya Satyajit, Jiashen Tang +6
Magnetic response measurements in the presence of AC drive fields provide critical insight into the properties of magnetic and conductive materials, such as phase transitions in tw…
Characterization of low-nitrogen quantum diamond for pulsed magnetometry applications
Jiashen Tang, Connor A. Roncaioli, Andrew M. Edmonds +4
Ensembles of nitrogen-vacancy (NV) centers in diamond are versatile quantum sensors with broad applications in the physical and life sciences. The concentration of neutral substitu…
Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images
Niko R. Reed, Danyal Bhutto, Matthew J. Turner +8
The reconstruction of electrical current densities from magnetic field measurements is an important technique with applications in materials science, circuit design, quality contro…
Quantum Diamond Microscope for Narrowband Magnetic Imaging with High Spatial and Spectral Resolution
Zechuan Yin, Jiashen Tang, Connor A. Hart +7
The quantum diamond microscope (QDM) is a recently developed technology for near-field imaging of magnetic fields with micron-scale spatial resolution. In the present work, we inte…