Modeling nitrogen-vacancy centers in diamond
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Updated
Mar 23, 2024 - Jupyter Notebook
Modeling nitrogen-vacancy centers in diamond
Data Acquisition for Confocal Microscope and Spin Control Experiments
Measurement automation framework for physics labs (NMR/ODMR) with AI/MCP control — plus standalone dual-licensed lock-free STM (kamestm) and pool allocator (kamepoolalloc), TLA+/GenMC verified
Measurement code for time resolved optically detected magnetic resonance experiments.
Interactive scientific data analysis workflow for CSV/TXT experiment data.
Computational modeling of amyloid-associated magnetic nanoparticle clusters and their detectability using NV-center ODMR.
A reproducible benchmark for realtime NV-center ODMR resonance and linewidth estimation under matched acquisition budgets.
Agent-orchestrated build of NV-diamond quantum magnetometer software: physics simulator, INT8 edge ML, PID plus neural-network control on a PolarFire SoC FPGA, and claim checks by local LLM critics.
Educational Python project on quantum sensing with NV centers in diamond, including ODMR simulation, magnetic-field estimation and sensitivity analysis.
Python analysis code for ODMR, electron spin characterization and fluorescence measurements on single NV centers in diamond.
A modular Python framework for simulating quantum spin defects, ODMR, and sensing protocols. Supports ensemble modelling, electric and magnetic fields, and magnetometry workflows for research in AMO and condensed matter physics.
This repository contains python code to control the various components required to conduct an experiment to optically detect the electron spin resonance in fluorescent micordiamonds.
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