A5040560271- Advanced Memory and Neural Computing
- CCD and CMOS Imaging Sensors
- Ferroelectric and Negative Capacitance Devices
- Advanced Sensor and Energy Harvesting Materials
- Advanced Optical Sensing Technologies
- Catalysts for Methane Reforming
- Neuroscience and Neural Engineering
- Organic Light-Emitting Diodes Research
- Nanowire Synthesis and Applications
- Carbon Dioxide Capture Technologies
- Conducting polymers and applications
- Ocular and Laser Science Research
- Neural Networks and Applications
- Hybrid Renewable Energy Systems
- Electronic and Structural Properties of Oxides
- ZnO doping and properties
- Catalysis and Oxidation Reactions
- Catalytic Processes in Materials Science
- 2D Materials and Applications
- Transition Metal Oxide Nanomaterials
- Semiconductor materials and devices
- Thin-Film Transistor Technologies
- Neural Networks and Reservoir Computing
- Ga2O3 and related materials
- Photoreceptor and optogenetics research
Gachon University
2024
University of Virginia
2020-2024
Yonsei University
2020-2024
Sandia National Laboratories California
2024
Sungkyunkwan University
2022-2024
Incheon National University
2021
Multispectral photodetectors are emerging devices capable of detecting photons in multiple wavelength ranges, such as visible (VIS), near infrared (NIR), etc. Image data acquired with these can be used for effective object identification and navigations owing to additional information beyond human vision, including thermal image night vision. However, capabilities hindered by the structural complexity arising from integration heterojunctions selective absorbers. In this paper, we demonstrate...
As machine vision technology generates large amounts of data from sensors, it requires efficient computational systems for visual cognitive processing. Recently, in-sensor computing have emerged as a potential solution reducing unnecessary transfer and realizing fast energy-efficient However, they still lack the capability to process stored images directly within sensor. Here, we demonstrate heterogeneously integrated 1-photodiode 1 memristor (1P-1R) crossbar processing, emulating mammalian...
Significant effort for demonstrating a gallium nitride (GaN)-based ferroelectric metal-oxide-semiconductor (MOS)-high-electron-mobility transistor (HEMT) reconfigurable operation via simple pulse has been hindered by the lack of suitable materials, gate structures, and intrinsic depolarization effects. In this study, we have demonstrated artificial synapses using GaN-based MOS-HEMT integrated with an α-In2Se3 semiconductor. The van der Waals heterostructure GaN/α-In2Se3 provides potential to...
While digital computers rely on software-generated pseudo-random number generators, hardware-based true random generators (TRNGs), which employ the natural physics of underlying hardware, provide stochasticity, and power area efficiency. Research into TRNGs has extensively relied unpredictability in phase transitions, but such transitions are difficult to control given their often abrupt narrow parameter ranges (e.g., occurring a small temperature window). Here we demonstrate TRNG based...
Arthropods’ eyes are effective biological vision systems for object tracking and wide field of view because their structural uniqueness; however, unlike mammalian eyes, they can hardly acquire the depth information a static monocular cues. Therefore, most arthropods rely on motion parallax to track in three-dimensional (3D) space. Uniquely, praying mantis (Mantodea) uses both compound structured form stereopsis is capable achieving recognition 3D Here, by mimicking system using...
Free-form factor optoelectronics is becoming more important for various applications. Specifically, flexible and transparent offers the potential to be adopted in wearable devices displays, solar cells, or biomedical However, current electrodes are limited conductivity flexibility. This study aims address these challenges explore solutions. For next-generation conductive electrode, Al-doped zinc oxide (AZO) silver (AZO/Ag/AZO) deposited by in-line magnetron sputtering without thermal...
Abstract The time-of-flight (ToF) principle is a method used to measure distance and construct three-dimensional (3D) images by detecting the time or phase difference between emitted back-reflected optical flux. ToF has been employed for various applications including light ranging detection (LiDAR), machine vision biomedical engineering; however, bulky system size slow switching speed have hindered widespread application of technology. To alleviate these issues, demonstration...
A neuromuscular junction (NMJ) is a particularized synapse that activates muscle fibers for macro-motions, requiring more energy than computation. Emulating the NMJ thus challenging owing to need both synaptic plasticity and high driving power trigger motions. Here, we present an artificial using CuInP 2 S 6 (CIPS) as gate dielectric integrated with AlGaN/GaN-based high-electron mobility transistor (HEMT). The ferroelectricity of CIPS coupled two-dimensional electron gas channel in HEMT,...
Abstract In‐sensor computing is an emerging architectural paradigm that fuses data acquisition and processing within a sensory domain. The integration of multiple functions into single domain reduces the system footprint while it minimizes energy time for transfer between units. However, challenging simple compact image sensor array to achieve both sensing in each pixel. Here, this work demonstrates focal plane with heterogeneously integrated one‐photodiode one‐resistor (1P‐1R)‐based...
Defect identification has been a significant task in various fields to prevent the potential problems caused by imperfection. There is great attention for developing technology accurately extract defect information from image using computing system without human error. However, analysis conventional based on Von Neumann structure facing bottlenecks efficiently process huge volume of input data at low power and high speed. Herein efficient demonstrated via morphological with minimal...
Abstract Precise diagnosis and immunity to viruses, such as severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) Middle East (MERS‐CoV) is achieved by the detection of viral antigens and/or corresponding antibodies, respectively. However, a widely used antigen methods, polymerase chain reaction (PCR), are complex, expensive, time‐consuming Furthermore, antibody test that detects an asymptomatic infection usually performed separately exhibits relatively low accuracy. To achieve...
Heterogeneous integration techniques allow the coupling of highly lattice-mismatched solid-state membranes, including semiconductors, oxides, and two-dimensional materials, to synergistically fuse functionalities. The formation heterostructures generally requires two processes: combination crystalline growth a non-destructive lift-off/transfer process enables high-quality heterostructures. Although direct atomic interaction between substrate target membrane ensures growth, strong bonds at...
Abstract Artificial neural networks (ANNs) are widely used in numerous artificial intelligence‐based applications. However, the significant amount of data transferred between computing units and storage has limited widespread deployment ANN for intelligence things (AIoT) power‐constrained device Therefore, among various algorithms, quantized (QNNs) have garnered considerable attention because they require fewer computational resources with minimal energy consumption. Herein, an oxide‐based...
This paper introduces a novel simulation tool for analyzing and training neural network models tailored compute-in-memory hardware. The leverages physics-based device to enable the design of their parameters that are more hardware-accurate. initial study focused on modeling CMOS-based floating-gate transistor memristor using measurement data from fabricated device. Additionally, incorporates hardware constraints, such as dynamic range converters, allows users specify circuit-level...
3D sensing is a primitive function that allows imaging with depth information generally achieved via the time‐of‐flight (ToF) principle. However, time‐to‐digital converters (TDCs) in conventional ToF sensors are usually bulky, complex, and exhibit large delay power loss. To overcome these issues, resistive (R‐ToF) sensor can measure an analog domain by mimicking biological process of spike‐timing‐dependent plasticity (STDP) proposed herein. The R‐ToF based on integrated avalanche photodiodes...
In this paper, we demonstrate low-thermal-budget ferroelectric field-effect transistors (FeFETs) based on the two-dimensional CuInP2S6 (CIPS) and oxide semiconductor InZnO (IZO). The CIPS/IZO FeFETs exhibit nonvolatile memory windows of ∼1 V, low off-state drain currents, high carrier mobilities. CIPS layer serves a dual purpose by providing electrostatic doping in IZO acting as passivation for channel. We also investigate artificial synaptic devices neural networks. synapse demonstrates...
Biogas is a promising energy source for sustainable hydrogen production due to its high concentration of CH4. However, determining the optimal process configuration challenging uncertainty fed biogas composition and sensitivity operating conditions. This necessitates early-stage evaluation biomass-to-hydrogen process's performance, considering economics, efficiency, environmental impacts. A data-driven model was introduced assessment from without whole simulation optimization. The developed...
Hydrogen, as a clean and versatile energy carrier, holds immense promise for addressing the world�s growing environmental challenges. However, hydrogen-based systems face challenges related to efficient storage methods, energy-intensive production, refueling processes, overall cost-effectiveness. To solve this problem, superstructure was developed that integrates technologies hydrogen transportation. This study synthesizes process pathways transportation method including carrier storage,...