Search Results - optical+coherence

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Giant Second-Harmonic Generation in Bulk Monolayer MoS2 Thin Films (Case No. 2024-186)
Summary: UCLA researchers in the department of Chemistry and Biochemistry have developed a method to control electron density in molybdenum disulfide (MoS2) thin films that can be used to improve optical material characteristics. Background: Second harmonic generation (SHG) is an optical process in which light interacts with a nonlinear material...
Published: 7/3/2024   |   Inventor(s): Xiangfeng Duan, Yu Huang, Boxuan Zhou
Keywords(s): Adaptive Optics, Algorithm Optical Coherence Tomography, all-optical diffractive computing, all-optical transformation, Atomic Force Microscopy Optical Tweezers, bulk monolayer, Composite Material, Composite Materials, Dispersion (Optics), Electro-Optics, Focus (Optics), Functional Materials, Infrared Electromagnetic Spectrum Dispersion (Optics), linear optics, material characterization, Materials, molybdenum disulfide (MOS2), monolayer, Nanomaterials, Near-Field Scanning Optical Microscope, nonlinear dynamics, Nonlinear Optics, non-linear optics, Nonlinear Optics Molecular Dynamics, Optical Coherence , Optical Communication , Optical computing, optical implementation, Optical networks, optical processor, optical transmission, Optics Parabolic Reflector Curved Mirror, Optoelectronic materials, reverse engineered optical system, second harmonic generation, start to end optics design, Surgical Instrument Optical Coherence Tomography
Category(s): Materials, Materials > Functional Materials, Optics & Photonics, Chemical, Chemical > Instrumentation & Analysis
Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors (Case No. 2023-192)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel platform technology to facilitate the design of all-optical visual processors, which can be used to perform advanced computational tasks at the speed of light. Background: Information processing via light is a cutting-edge field among optics...
Published: 4/5/2024   |   Inventor(s): Aydogan Ozcan, MD Sadman Rahman, Xilin Yang
Keywords(s): Adaptive Optics, Algorithm Optical Coherence Tomography, all-optical diffractive computing, all-optical transformation, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Atomic Force Microscopy Optical Tweezers, computational imaging, deep diffractive network, Deep Learning, Deep learning-based sensing, diffractive processor, Dispersion (Optics), Electron Microscope, Electro-Optics, fluorescence microscopy, Focus (Optics), Infrared Electromagnetic Spectrum Dispersion (Optics), interference processor, large language model (LLNMs), linear optics, linear transformations, Machine Learning, Microscope, Microscopy, Microscopy And Imaging, Near-Field Scanning Optical Microscope, neural networks, Nonlinear Optics, non-linear optics, Optical Coherence , Optical Communication , Optical computing, Optical Fiber Copper Wire And Cable, optical implementation, Optical Microscope, Optical networks, optical processor, optical transmission, Optics Parabolic Reflector Curved Mirror, phase-only diffractive network, reverse engineered optical system, Software, Software & Algorithms, Software Development Tools, spatially-incoherent light, start to end optics design, Surgical Instrument Optical Coherence Tomography, three dimensional imaging, visual computing, Waferscale Processors
Category(s): Optics & Photonics, Optics & Photonics > Microscopy, Platforms, Software & Algorithms > Image Processing, Electrical, Electrical > Signal Processing, Electrical > Computing Hardware
2022-230 Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an all-optical diffractive network that can find applications in machine learning-related vision tasks and all-optical computing systems. Background: Optical computing is a gateway to the future, as it can revolutionize computation by making classically...
Published: 8/21/2023   |   Inventor(s): Aydogan Ozcan, Jingxi Li
Keywords(s): Advanced Computing / AI, all-optical diffractive computing, all-optical transformation, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial-intelligent materials, classification, Deep Learning, diffractive network, diffractive processor, Electrical, Electrical Engineering, Internet of Things (IoT), Machine Vision, machine vision task, multiplexing, Optical Coherence , Optical Communication , Optical Fiber Copper Wire And Cable, Optical Microscope, Optics, polarization multiplexed diffractive processor, polarization multiplexing, polarization-based machine vision tasks, polarization-encoded diffractive network
Category(s): Electrical, Electrical > Instrumentation, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Optics & Photonics, Electrical > Electronics & Semiconductors
2022-113 AI MODELS FOR OCULAR DISEASES USING OPTICAL COHERENCE TOMOGRAPHY
Summary: UCLA researchers in the Department of Computational Medicine have developed a computer program capable of automatically and accurately diagnosing optical diseases using OCT. Background: Optical diseases, such as age-related macular degeneration, are serious issues that, if left untreated, can result in partial and even complete blindness....
Published: 7/22/2024   |   Inventor(s): Jeffrey Chiang, Srinivas Sadda, Eran Halperin
Keywords(s): Algorithm Optical Coherence Tomography, Artificial Intelligence, Eye Surgery, Intraocular Lens , Lens (Optics), Macular Degeneration, Optical Coherence , Optical Microscope, Optical Tomography
Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices > Medical Imaging