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Sufficient energy consumption for conventional information processing makes it necessary to look for new computational methods. One of the possible solutions to this problem is neuromorphic computations using memristive devices.
Jörg Pezoldt +5 more
core +1 more source
The memristor (M) is considered to be the fourth two-terminal passive element in electronics, alongside the resistor (R), the capacitor (C), and the inductor (L). Its existence was postulated in 1971 but its first implementation was reported in 2008. Where was it hiding all that time and what can we do with it?
openaire +3 more sources
Research Process of Carbon Dots in Memristors
The explosive growth of digital communication promotes advanced memory and computing devices in Big Data and artificial intelligence era. In particular, memristors hold great promise for in‐memory computing and artificial synapses, expected to break ...
Haotian Hao +5 more
doaj +1 more source
Silicon-Compatible Memristive Devices Tailored by Laser and Thermal Treatments
Nowadays, memristors are of considerable interest to researchers and engineers due to the promise they hold for the creation of power-efficient memristor-based information or computing systems.
Maria N. Koryazhkina +14 more
doaj +1 more source
Welcome to IEEE Micros special issue on memristor-based computing. Memristors were a theoretical concept (proposed by circuit theorist Leon Chua in 1971) for over three decades until HP Labs built a physical device in 2008. Memristors have gained substantial interest since then because of their nonvolatility; a memristor remembers its past, even when ...
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Overview of emerging memristor families from resistive memristor to spintronic memristor [PDF]
AbstractMemristor is a fundamental circuit element in addition to resistor, capacitor, and inductor. As it can remember its resistance state even encountering a power off, memristor has recently received widespread applications from non-volatile memory to neural networks.
Wang, Lei +4 more
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An Efficient Biological Codon Recognition Reservoir Computing System Based on Low‐Energy Epitaxial Hf0.52Zr0.48O2 Ferroelectric Memristors [PDF]
This work reports on epitaxially grown Hf0.52Zr0.48O2 ferroelectric memristors with high stability (high durability exceeding 108 cycles and a retention time exceeding 104 s for 16 states) and ultra‐low operating energy consumption (∼121 fJ). A memristor array‐based reservoir computing system is constructed and applied for the first time in the field ...
Liu Y +6 more
europepmc +2 more sources
Integration of Reconfigurable p-Bit and 1R Crossbar Array for Memristive Probabilistic Computing. [PDF]
A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Soh K +7 more
europepmc +2 more sources
Mutual Transformation of Flux-Controlled and Charge-Controlled Memristors
Two-ports for mutual transformation between flux-controlled memristors and charge-controlled memristors are proposed. Attention is paid to memristors with the region of negative differential memristance in the charge-flux constitutive relation, when such
Dalibor Biolek +5 more
doaj +1 more source
Research status and development trends of irradiation effects on memristor
As a strong candidate for the new type of non-volatile memories and artificial synaptic devices, memristor has a huge development prospect in aerospace, Mars exploration and other space science and application fields.
WANG Yuxiang +5 more
doaj +1 more source

