51 citations · 88 across the 13 of their papers we have counts for
9 papers · 1 filter
Vision-Language Agents for Active Perception in Optics Laboratories
Ryan Lopez, Sachin Vaidya, Seou Choi +2
Vision-language models (VLMs) are increasingly being used in scientific workflows, but their ability as agents to directly control laboratory experiments from visual feedback remai…
A Programmable Optics Cloud Laboratory
Sachin Vaidya, Caio Silva, Seou Choi +2
Laboratory automation can improve experimental throughput, accessibility, and reproducibility, but many robotic laboratory systems remain difficult to reconfigure. This challenge i…
Nanophotonic control of spatial information in scintillation detectors
Joshua Chen, Simo Pajovic, Seou Choi +9
X-rays enable non-invasive imaging across medicine, security, materials science, and beyond, yet modern systems remain constrained by the need to resolve finer structures at lower…
Wavefront Engineering for Scintillation-Based Imaging
Joshua Chen, Sachin Vaidya, Simo Pajovic +7
Recent research in nanophotonics for scintillation-based imaging has demonstrated promising improvements in scintillator performance. In parallel, advances in nanophotonics have en…
Nanophotonic thermal management in X-ray tubes
Simo Pajovic, Charles Roques-Carmes, Seou Choi +5
In X-ray tubes, more than 99% of the kilowatts of power supplied to generate X-rays via bremsstrahlung are lost in the form of heat generation in the anode. Therefore, thermal mana…
Probing intensity noise in ultrafast pulses using the dispersive Fourier transform augmented by quantum sensitivity analysis
Shiekh Zia Uddin, Sahil Pontula, Jiaxin Liu +4
To reach the next frontier in multimode nonlinear optics, it is crucial to better understand the classical and quantum phenomena of systems with many interacting degrees of freedom…
Large-scale self-assembled nanophotonic scintillators for X-ray imaging
Louis Martin-Monier, Simo Pajovic, Muluneh G. Abebe +9
Scintillators are essential for converting X-ray energy into visible light in imaging technologies. Their widespread application in imaging technologies has been enabled by scalabl…
Stochastic logic in biased coupled photonic probabilistic bits
Michael Horodynski, Charles Roques-Carmes, Yannick Salamin +4
Optical computing often employs tailor-made hardware to implement specific algorithms, trading generality for improved performance in key aspects like speed and power efficiency. A…
Photonic probabilistic machine learning using quantum vacuum noise
Seou Choi, Yannick Salamin, Charles Roques-Carmes +7
Probabilistic machine learning utilizes controllable sources of randomness to encode uncertainty and enable statistical modeling. Harnessing the pure randomness of quantum vacuum n…