Results 71 to 80 of about 751 (187)
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Demonstration of versatile nonvolatile logic gates in 28nm HKMG FeFET technology
Logic-in-memory circuits promise to overcome the von-Neumann bottleneck, which constitutes one of the limiting factors to data throughput and power consumption of electronic devices.
Mikolajick, T. +3 more
core +1 more source
Robust and Compatible Ferroelectric Memories with Polycrystalline TiO2 Channel for 3D Integration
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
Using extensive Monte-Carlo simulations with a nucleation-limited-switching (NLS) ferroelectric model and considering cycle-to-cycle variations, this paper constructs and analyzes the intrinsic conductance (GDS) response of stacked-nanosheet FeFET ...
Heng Li Lin, Pin Su
doaj +1 more source
S.665-668We report 1-3 bit/cell FeFET operation through optimized HSO and HZO ferroelectric laminate layers using alumina interlayers. Memory window up to 3.5V, switching speed of 300ns, 10 years retention, and 10 4 endurance are reported. The gate stack
Steinke, P. +16 more
core +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
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
8384We report ferroelectric (FE) laminate HSO/HZO MFMIS FeFETs. An MFM/MIS area ratio control enables low voltage operation and 105 endurance. FE lamination (2 × 10 nm, 4 × 5 nm) and low FE anneal reduce the FeFET variability. Impact of the stack (MFMIS),
Kühnel, Kati +13 more
core +1 more source
Analog Weight Update Rule in Ferroelectric Hafnia, Using picoJoule Programming Pulses
Resistive, ferroelectric synaptic weights based on BEOL‐compatible hafnia/zirconia nanolaminates are fabricated. Lateral downscaling the devices below 10 µm2 enables 20 ns programming with electrical pulses, dissipating ≤ 3 pJ. Experimental results show that final conductance state is set by pulse amplitude, and is largely independent of the initial ...
Alexandre Baigol +7 more
wiley +1 more source
Substrate-voltage-controlled temporal nonlinearity in ferroelectric FET-based reservoir computing [PDF]
Physical reservoir computing exploits inherent nonlinearity and short-term memory of physical dynamics to achieve efficient processing of time-series data with extremely-low training cost.
Eishin Nako +4 more
doaj +1 more source
S.2793-2799We report on the temperature-dependent operation of fluorite-structure-based ferroelectric FET (FeFET) emerging memory. A temperature range (-40 °C to 40 °C) is used to explore the FeFET characteristic relation to operating temperature.
Mart, C. +17 more
core +1 more source

