Results 111 to 120 of about 14,872,237 (221)
RRAM Variability Harvesting for CIM‐Integrated TRNG
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende +4 more
wiley +1 more source
Compliance-free, analog RRAM devices based on SnOx
Brain-inspired resistive random-access memory (RRAM) technology is anticipated to outperform conventional flash memory technology due to its performance, high aerial density, low power consumption, and cost. For RRAM devices, metal oxides are exceedingly
Suresh Kumar Garlapati +5 more
doaj +1 more source
Design and Analysis of an Ultra-Dense, Low-Leakage, and Fast FeFET-Based Random Access Memory Array
High static power associated with static random access memory (SRAM) represents a bottleneck in increasing the amount of on-chip memory. Novel, emerging nonvolatile memories such as spintransfer torque magnetic random access memory (STT-RAM), resistive ...
Dayane Reis +11 more
doaj +1 more source
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
This thesis introduces fabrication and physical as well as electrical characterizations of oxide-based resistive random access memory (RRAM) which has been recently explored as one of the most promising nonvolatile memory technology.
Fang, Zheng
core +1 more source
Neuromorphic hardware enables the integration of sensing, memory, and computing for intelligent artificial perception. Recent advances in multimodal fusion further highlight its potential for embodied intelligence and next‐generation human–machine interfaces.
Yixin Zhu +3 more
wiley +1 more source
Metal‐Filamentary Memristor‐Based Artificial Neurons for Embodied Neuromorphic Intelligence
ABSTRACT Embodied neuromorphic intelligence represents a transformative paradigm for next‐generation intelligent systems, with broad implications for robotics, autonomous driving, intelligent manufacturing, and smart infrastructures. Neuromorphic chips enable bioinspired computing with sparse, heterogeneous representations and spatiotemporal dynamics ...
Tianci Huang, Zuqing Yuan, Qilin Hua
wiley +1 more source
Tri-Resistive Switching Behavior of Hydrogen Induced Resistance Random Access Memory
In this letter, the special role of hydrogen ions in hafnium doped silicon oxide resistive random access memory (RRAM) is presented. In addition to the more typical oxygen ion-dominated resistive switching, hydrogen ions were also observed to trigger a ...
Chu, Tian-Jian +15 more
core +1 more source
A comprehensive investigation of MoO3 based resistive random access memory
The bipolar resistive switching of molybdenum oxide is deliberated while molybdenum and nickel are used as bottom and top electrodes, respectively, to present a device with resistive random access memory (RRAM) characteristics.
Fatheema, Jameela +6 more
core +1 more source
Investigations of TiO2-based resistive random-access memory
In this study, titanium dioxide (TiO2) is successfully grown by the ultrasonic spray pyrolysis deposition (USPD) method and applied to resistive random-access memory (RRAM).
Zheng, Yu-Xing
core

