A simple Physics Informed Neural Network (PINN) implementation in TensorFlow 2 for magnetic field mapping using finite amount of magnetic field measurements.
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Updated
Jun 7, 2022 - Python
A simple Physics Informed Neural Network (PINN) implementation in TensorFlow 2 for magnetic field mapping using finite amount of magnetic field measurements.
Automated DAQ, flux-lock recovery, temperature logging, and S-flux tuning for STAR Cryoelectronics PFL-102 SQUID systems.
A graphical user interface for processing INFORMAR magnetometry data and the export of magnetic anomaly grids.
Sorts and characterizes raw magnetic field data after collection, filtering large scale noise and unwanted signals to produce cleaner outputs.
Simulation framework and reproducible code for: Vibration-Induced Noise in Mobile NV-Center Magnetometers: Platform Characterization and Rejection Strategy Comparison (Anderson II, J.D., 2026)
Experimental QGIS plugin code to work with SENSYS magnetometers to visualize tracks.
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