ArticleNature communications2018
Seamlessly fused digital-analogue reconfigurable computing using memristors.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network.Nature communications · 2024Article
- Selectively biased tri-terminal vertically-integrated memristor configuration.Scientific reports · 2022Article
- Discrete Memristor and Discrete Memristive Systems.Entropy (Basel, Switzerland) · 2022Article
- Hybrid oxide brain-inspired neuromorphic devices for hardware implementation of artificial intelligence.Science and technology of advanced materials · 2021Article
- Design of defect-chemical properties and device performance in memristive systems.Science advances · 2020Article
- An Electrical Characterisation Methodology for Benchmarking Memristive Device Technologies.Scientific reports · 2019Article
- Impact of Line Edge Roughness on ReRAM Uniformity and Scaling.Materials (Basel, Switzerland) · 2019Article
- An electrical characterisation methodology for identifying the switching mechanism in TiOScientific reports · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the world enters the age of ubiquitous computing, the need for reconfigurable hardware operating close to the fundamental limits of energy consumption becomes increasingly pressing. Simultaneously, scaling-driven performance improvements within the framework of traditional analogue and digital design become progressively more restricted by fundamental physical constraints. Emerging nanoelectronics technologies bring forth new prospects yet a significant rethink of electronics design is required for realising their full potential. Here we lay the foundations of a design approach that fuses analogue and digital thinking by combining digital electronics with analogue memristive devices for achieving charge-based computation; information processing where every dissipated charge counts. This is realised by introducing memristive devices into standard logic gates, thus rendering them reconfigurable and capable of performing analogue computation at a power cost close to digital. The versatility and benefits of our approach are experimentally showcased through a hardware data clusterer and an analogue NAND gate.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.