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Nir Bar-Gill on Muck Rack

Nir Bar-Gill

As seen in: arXiv, Science Magazine, Royal Society of Chemistry
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Articles

[2409.12820] Machine-learning based high-bandwidth magnetic sensing

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By Stefano Martina, John Howell Verified, Nir Bar-Gill, Filippo Caruso
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Enhanced quantum properties of shallow diamond atomic defects through nitrogen surface termination

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By Nir Bar-Gill, Rotem Malkinson, Mohan Kumar Kuntumalla, Schulich Faculty, Tristan Petit
| Royal Society of Chemistry Verified
Enhanced quantum properties of shallow diamond atomic defects through nitrogen surface termination† Nitrogen vacancy (NV) centers in diamond have emerged in recent years as leading quantum sensors in various modalities. Most applications benefit from shallow NVs, enabling higher sensitivity and resolution. However, near-surface NVs (<20 nm depth) suffer from reduced stability and coherence properties due to additional noise.
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Observing chemical shifts from nanosamples

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By Nir Bar-Gill, Alex Retzker
| Science Magazine Verified
Nuclear magnetic resonance (NMR) is a highly versatile spectroscopy method widely used in diverse disciplines, but its sensitivity and spatial resolution are limited by the inductive measurement of magnetic nuclei. Nano-NMR methods are emerging that aim to measure a single nuclear spin—an improvement in sensitivity of 13 orders of magnitude. The main workhorse of these methods has been atomic defects in diamond, which have distinctive optical and magnetic properties.
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