- Photonic and Optical Devices
- Neural Networks and Reservoir Computing
- Phase-change materials and chalcogenides
- Optical Network Technologies
- Advanced Memory and Neural Computing
- Metamaterials and Metasurfaces Applications
- Plasmonic and Surface Plasmon Research
- Gold and Silver Nanoparticles Synthesis and Applications
- Advanced biosensing and bioanalysis techniques
- Advanced Photonic Communication Systems
- Perovskite Materials and Applications
- Advanced Fiber Laser Technologies
- Liver Disease Diagnosis and Treatment
- Coronary Artery Anomalies
- Random lasers and scattering media
- Inflammatory Bowel Disease
- Optical and Acousto-Optic Technologies
- Esophageal Cancer Research and Treatment
- Nanoplatforms for cancer theranostics
- Advanced Nanomaterials in Catalysis
- Gas Sensing Nanomaterials and Sensors
- Vascular Malformations Diagnosis and Treatment
- Covalent Organic Framework Applications
- Nonlinear Optical Materials Studies
- TiO2 Photocatalysis and Solar Cells
University of Oxford
2022-2024
Ewha Womans University
2017-2021
Ewha Womans University Medical Center
2019
Government of the Republic of Korea
2019
Seoul Institute
2019
University of Cambridge
2016
Seoul National University
2015
Samsung Medical Center
2007
Sungkyunkwan University
2007
Asan Medical Center
2000
Abstract New developments in hardware-based ‘accelerators’ range from electronic tensor cores and memristor-based arrays to photonic implementations. The goal of these approaches is handle the exponentially growing computational load machine learning, which currently requires doubling hardware capability approximately every 3.5 months. One solution increasing data dimensionality that processable by such hardware. Although two-dimensional processing multiplexing space wavelength has been...
Abstract Advancements in optical coherence control 1–5 have unlocked many cutting-edge applications, including long-haul communication, light detection and ranging (LiDAR) tomography 6–8 . Prevailing wisdom suggests that using more coherent sources leads to enhanced system performance device functionalities 9–11 Our study introduces a photonic convolutional processing takes advantage of partially boost computing parallelism without substantially sacrificing accuracy, potentially enabling...
The ever-increasing demands for data processing and storage will require seamless monolithic co-integration of electronics photonics. Phase-change materials are uniquely suited to fulfill this function due their dual electro-optical sensitivity, nonvolatile retention properties, fast switching dynamics. extreme size disparity however between CMOS dielectric photonics inhibits the realization efficient compact electrically driven photonic switches, logic routing elements. Here, authors...
Abstract The field of flat optics that uses nanostructured, so‐called metasurfaces, has seen remarkable progress over the last decade. Chalcogenide phase‐change materials (PCMs) offer a promising platform for realizing reconfigurable as their optical properties can be reversibly tuned. Yet, demonstrations metalenses to date have employed material compositions such Ge 2 Sb Te 5 , which show high absorption in visible near‐IR wavelengths particularly crystalline state, limiting applicability....
Poly(3,4-ethylenedioxythiophene) (PEDOT) is formed inside a metal–organic framework (MOF). MOF removal leads to sub-millimetre structures of the nanostructured conducting polymer.
Extraordinary light–matter interaction on the surface of metallic nanostructures can excite plasmons (SPs), followed by generation charge carriers with high energy, that is, "hot electrons and holes", via nonradiative decay. Such plasmonic hot are potentially useful for photocatalysis, electrocatalysis, photovoltaics, optoelectronics, theragnosis since carrier transfer to desired substrate accelerate specific redox reactions or facilitate electrical benefits devices. In this regard, there is...
Wavelength and polarization are two fundamental properties of light within which information can be encoded (de)multiplexed. While wavelength-selective systems have widely proliferated, polarization-addressable active photonics has not seen notable progress, primarily because tunable polarization-selective nanostructures been elusive. Here, we introduce hybridized-active-dielectric (HAD) nanowires to achieve tunability. We then demonstrate the ability use as a parameter selectively modulate...
Abstract While plasmonic designs have dominated recent trends in structural color, schemes using localized surface plasmon resonances and polaritons that simultaneously achieve high color vibrancy at ultrahigh resolution been elusive because of tradeoffs between size performance. Herein we demonstrate vibrant size-invariant transmissive type multicolor pixels composed hybrid TiO x -Ag core-shell nanowires based on reduced scattering their electric dipolar Mie resonances. This principle...
Abstract Surface plasmons at a metal/dielectric interface resonate with incident light, generating an evanescent field the interface, which is highly sensitive to change in refractive index of medium. These characteristics are utilized as basis for surface plasmon resonance‐based sensors Kretschmann configuration, providing label‐free and real‐time monitoring binding interaction between probe target moieties. Although graphene recently extensively investigated optical improvement sensing...
Integrated photonic circuits (PICs) have seen an explosion in interest, through to commercialization the past decade. Most PICs rely on sharp resonances modulate, steer, and multiplex signals. However, spectral characteristics of high-quality are highly sensitive small variations fabrication material constants, which limits their applicability. Active tuning mechanisms commonly employed account for such deviations, consuming energy occupying valuable chip real estate. Readily employable,...
Fast modulation of optical signals that carry multidimensional information in the form wavelength, phase or polarization has fueled an explosion interest integrated photonics. This however masks a significant challenge which is independent multi-wavelength carrier single waveguide not trivial. Such attributed to longitudinal direction guided-mode propagation, limiting spatial separation and electric-field. Here, we overcome this using photonic element utilizes active coherent (near) perfect...
In the past decade, proliferation of modern telecommunication technologies, including 5G, and widespread adoption Internet-of-things (IoT) have led to an unprecedented surge in data generation transmission. This has created escalating demand for advanced signal processing capabilities. Microwave photonic (MWP) processors offer a promising solution satisfy this by capitalising on high bandwidth low latency achievable optical systems. work, we introduce integrated MWP unit all-optical RF...
Plasmonic hot carrier generation has attracted increasing attention due to its ability convert light electrical energy. The of plasmon-induced carriers can be achieved via Landau damping in the non-radiative decay process plasmonic excitation Localized surface plasmons (LSPs) undergo both radiative and decays, while plasmon polaritons (SPPs) dissipate only decay. Thus, it is a challenging task exploit for efficient their applications. In this study, model hot-carrier-mediated...
Cascaded linear and non-linear operations form the basis for all integrated photonic applications ranging from routing to computations. Because of weak interaction between photons, achieving substantial optical nonlinearities at low power remains challenging. In this work, we demonstrate a new framework where signals carried in different wavelengths can be added encoded wavelength with loss. Using approach, realize highly nonlinear all-optical neurons operated fully near-infrared domain power.
Local and non-local phase-change metasurfaces for dual-function edge-detection/bright-field imaging are designed simulated. Reconfigurability is via switching material between crystal amorphous states. Applications include fast pre-processing image analysis, optical microscopy more.
The next generation of smart imaging and vision systems will require compact tunable optical computing hardware to perform high-speed low-power image processing. These requirements are driving the development metasurfaces realize efficient front-end analog pre-processors, especially for edge-detection capability. Yet, there is still a lack reconfigurable or programmable schemes, which may drastically enhance impact these devices at system level. Here, we propose experimentally demonstrate...
Neuromorphic photonic processors are redefining the boundaries of classical computing by enabling high-speed multidimensional information processing within memory. Memristors, backbone neuromorphic processors, retain their state after programming without static power consumption. Among them, electro-optic memristors great interest, as they enable dual electrical-optical functionality that bridges efficiency electronics and bandwidth photonics. However, efficient, scalable, CMOS-compatible...
Electro-optical computing systems are promising for future energy-efficient computing, while scalable, dual electrical-optical functionality and low energy-consumption devices not yet implemented on-chip. In this work, with a tailored design better heat confinement, we implement scalable phase-change functionality. They show ultralow programming energy both electrical optical switching in pico-joule scale, which is orders lower than other integrated electro-optical phase change devices,...