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Researcher
- Andrzej Nycz
- Peeyush Nandwana
- Ryan Dehoff
- Ali Passian
- Brian Post
- Chris Masuo
- Vincent Paquit
- Amit Shyam
- Hsuan-Hao Lu
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- Haowen Xu
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- Patxi Fernandez-Zelaia
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- Wenjun Ge
- William Peter
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- Yukinori Yamamoto
- Zackary Snow

An ultrabroadband, polarization-entangled photon source for C+L-band quantum networks, enabling adaptive, high-fidelity entanglement distribution.

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.

Technologies directed quantum spectroscopy and imaging with Raman and surface-enhanced Raman scattering are described.

Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.

An innovative system for automating the surveillance and manipulation of plant tissues using advanced machine vision and robotic tools.

An innovative low-cost system for in-situ monitoring of strain and temperature during directed energy deposition.

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.