Results 61 to 70 of about 3,095,076 (264)
On‐Chip Photonic Neural Network Architectures
Advanced Optical Materials, EarlyView.This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
Charge Loss Induced by Defects of Transition Layer in Charge-Trap 3D NAND Flash Memory
IEEE Access, 2021 In charge-trap (CT) three-dimensional (3D) NAND flash memory, the transition layer between Si3N4 CT layer and SiO2 tunneling layer is inevitable, and the defects in the transition layer are expected to cause both lateral and vertical charge loss.
Fei Wang +3 more
doaj +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Advanced Science, EarlyView.Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
A Unified Flash Memory Platform for Mode‐Adaptive and Robust AI Computation
Advanced Science, EarlyView.A unified AND‐type flash memory platform enables both transistor‐mode and capacitor‐mode computing‐in‐memory operations within the same device structure. By selectively switching the sensing mode through peripheral reconfiguration, the platform provides adaptable trade‐offs between computational accuracy, robustness, and energy efficiency for AI ...
Dayeon Yu +6 more
wiley +1 more source
Advanced Science, EarlyView.A flash lamp annealing strategy using a mullite chuck enables rapid conversion of sol–gels to metal oxides on silicon and ultra‐thin glass without extra light‐absorbing layers. Direct light absorption initiates the transformation, and the low thermal conductivity of mullite promotes heat accumulation.
Zetong Li +5 more
wiley +1 more source
[Logiciel] Open source 3D viewer
, 2021 "Voyager is part of the Smithsonian’s Digitization Program Office’s 3D foundation pipeline.
Consortium 3D SHS Team
core
Analysis of High-Temperature Data Retention in 3D Floating-Gate nand Flash Memory Arrays
IEEE Journal of the Electron Devices Society, 2023 In this paper, we present a detailed experimental investigation of high-temperature data retention in 3D floating-gate NAND Flash memory arrays. Data reveal that charge detrapping from the cell tunnel oxide and depassivation of traps in the string ...
Gerardo Malavena +4 more
doaj +1 more source
Advanced Science, EarlyView.Electroforming‐free, self‐rectifying switching with polarity‐dependent threshold modulation is realized in selector‐only memory through Cu‐ion migration in a bilayer stacked dual functional materials. Ultrafast rupturing of Cu filament enables drift‐free operation with high stability.
Jae‐Kyeong Kim +7 more
wiley +1 more source
Robust and Compatible Ferroelectric Memories with Polycrystalline TiO2 Channel for 3D Integration
Advanced Electronic Materials, EarlyView.Robust and monolithic 3D compatible ferroelectric memories are realized using the polycrystalline TiO2 channel‐based FeFET. The review covers physical mechanisms of the TiO2 channel FeFET, quantitative benchmarking, and advanced planar/vertical architectures for monolithic 3D integration based on HfO2‐TiO2 gate stack, offering a roadmap for reliable ...
Xujin Song +10 more
wiley +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source