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Published in 2023 at "Advanced materials"
DOI: 10.1002/adma.202211406
Abstract: Magnetic fluids are excellent candidates for several important research fields including energy harvesting, biomedical applications, soft robotics and exploration. However, notwithstanding relevant advancements such as shape reconfigurability, that have been demonstrated, there is no evidence…
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Keywords:
ferrofluid;
system;
experimental demonstration;
demonstration memory ... See more keywords
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Published in 2025 at "Small"
DOI: 10.1002/smll.202505708
Abstract: Analog in-memory computing with memristive devices is a promising solution for overcoming energy inefficiencies of traditional Von Neumann architectures, especially in deep learning applications. However, filamentary memristive devices encounter significant challenges, such as high forming…
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Keywords:
memristive devices;
energy;
memory computing;
analog memory ... See more keywords
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Published in 2017 at "Science China Information Sciences"
DOI: 10.1007/s11432-017-9313-6
Abstract: In this world of ubiquitous computing, the contemporary electronic digital computer has become an essential machine that is available anytime and everywhere. Computing systems come in various forms, including desktops, laptops, tablets, mobile phones, smart…
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Keywords:
memory computing;
fusion memory;
memory;
memcomputing fusion ... See more keywords
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1
Published in 2021 at "Science Bulletin"
DOI: 10.1016/j.scib.2021.06.020
Abstract: Abstract Exploring materials with multiple properties who can endow a simple device with integrated functionalities has attracted enormous attention in the microelectronic field. One reason is the imperious demand for processors with continuously higher performance…
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Keywords:
non volatile;
logic memory;
optoelectrical logic;
memory computing ... See more keywords
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Published in 2025 at "Chemical Reviews"
DOI: 10.1021/acs.chemrev.4c00670
Abstract: In-memory computing (IMC) is an emerging computational approach that addresses the processor-memory divide in modern computing systems. The core concept is to leverage the physics of memory devices and their array-level organization to perform computations…
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Keywords:
phase change;
change memory;
memory;
memory computing ... See more keywords
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Published in 2025 at "Nature Communications"
DOI: 10.1038/s41467-025-56345-4
Abstract: There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at deployment site. However, current AI models struggle…
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Keywords:
rapid learning;
memory;
memory computing;
change memory ... See more keywords
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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-59121-0
Abstract: von Neumann architecture based computers isolate computation and storage (i.e. data is shuttled between computation blocks (processor) and memory blocks). The to-and-fro movement of data leads to a fundamental limitation of modern computers, known as…
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Keywords:
storage;
logic memory;
simultaneous logic;
memory computing ... See more keywords
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Published in 2023 at "New Journal of Chemistry"
DOI: 10.1039/d3nj00076a
Abstract: Bioresistive random access memory with an in-memory computing function based on graphene quantum dots and soybean biomaterials is prepared.
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Keywords:
bioresistive random;
memory memory;
random access;
access memory ... See more keywords
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2
Published in 2023 at "Applied Physics Letters"
DOI: 10.1063/5.0145497
Abstract: With the advantages of high speed, low energy consumption, and non-volatility, spin–orbit devices are promising to be used in the field of in-memory computing. However, for large-scale integration, a simpler field-free switching scheme needs to…
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Keywords:
orbit devices;
spin orbit;
spin;
field ... See more keywords
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Published in 2024 at "Nanotechnology"
DOI: 10.1088/1361-6528/ad750a
Abstract: Memristive computing system (MCS), with the feature of in-memory computing capability, for artificial neural networks (ANNs) deployment showing low power and massive parallelism, is a promising alternative for traditional Von-Neumann architecture computing system. However, because…
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Keywords:
linear compensation;
memory computing;
compensation method;
performance ... See more keywords
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Published in 2024 at "Journal of Semiconductors"
DOI: 10.1088/1674-4926/24050004
Abstract: Aiming to enhance the bandwidth in near-memory computing, this paper proposes a SSA-over-array (SSoA) architecture. By relocating the secondary sense amplifier (SSA) from dynamic random access memory (DRAM) to the logic die and repositioning the…
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Keywords:
memory;
memory computing;
ssoa;
ssa array ... See more keywords