Results 31 to 40 of about 128,528 (304)
Memory and Synaptic Devices Based on Emerging 2D Ferroelectricity
Memory devices are an essential part of modern electronics. Efforts to move beyond the traditional “read” and “write” of digital information in volatile and non‐volatile memory devices are leading to the rapid growth of neuromorphic technology.
Yanggeun Joo +4 more
doaj +1 more source
Excellent Switching Performances of TiON/HZO/MoS2 Ferroelectric Diode
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Yunjeong Hwang +10 more
core
Spiking neural networks (SNNs) have attracted considerable attention as next-generation neural networks. As SNNs consist of devices that have spike-timing-dependent plasticity (STDP) characteristics, STDP is one of the critical characteristics we need to
Hisashi Kino +2 more
doaj +1 more source
Data Management on Non-Volatile Memory [PDF]
We are at an exciting point in the evolution of memory technology. Device manufacturers have created a new non- volatile memory (NVM) technology that can serve as both system memory and storage. NVM supports fast reads and writes similar to volatile memory, but all writes to it are persistent like a solid-state disk.
openaire +1 more source
A distinct semi‐confined inner‐tube chemical vapor deposition geometry enables reproducible, large‐area growth of phase‐pure 2D β′‐In2Se3 from InI + Se precursors. Engineering local vapor transport and optimizing precursor delivery and temperature–time conditions yield uniform continuous films.
Dasun P. W. Guruge +8 more
wiley +1 more source
Non-Volatile Transistor Memory with a Polypeptide Dielectric
Organic nonvolatile transistor memory with synthetic polypeptide derivatives as dielectric was fabricated by a solution process. When only poly (γ-benzyl-l-glutamate) (PBLG) was used as dielectric, the device did not show obvious hysteresis in ...
Lijuan Liang +9 more
doaj +1 more source
Design of non-destructive single-sawtooth pulse based readout for STT-RAM by NVM-SPICE
Spin-transfer torque random access memory (STTRAM) is one promising candidate for future non-volatile memory based computing, because of its fast access time, high integration density and non-volatility.
Yang Shang +5 more
core +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source

