ArticleScientific reports2020
A caloritronics-based Mott neuristor.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Neuromorphic Near-Sensor and In-Sensor Computing Enabled by Next-Generation Material-Based Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Frequency Switching Neuristor for Realizing Intrinsic Plasticity and Enabling Robust Neuromorphic Computing.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Mott resistive switching initiated by topological defects.Nature communications · 2024Article
- Mott neurons with dual thermal dynamics for spatiotemporal computing.Nature materials · 2024Article
- Local strain inhomogeneities during electrical triggering of a metal-insulator transition revealed by X-ray microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Neuromorphic one-shot learning utilizing a phase-transition material.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Resistive switching and battery-like characteristics in highly transparent TaScientific reports · 2023Article
- Transverse barrier formation by electrical triggering of a metal-to-insulator transition.Nature communications · 2021Article
- Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor.Nature communications · 2021Article
- Non-thermal resistive switching in Mott insulator nanowires.Nature communications · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Machine learning imitates the basic features of biological neural networks at a software level. A strong effort is currently being made to mimic neurons and synapses with hardware components, an approach known as neuromorphic computing. While recent advances in resistive switching have provided a path to emulate synapses at the 10 nm scale, a scalable neuron analogue is yet to be found. Here, we show how heat transfer can be utilized to mimic neuron functionalities in Mott nanodevices. We use the Joule heating created by current spikes to trigger the insulator-to-metal transition in a biased VO
Identifiers
What OpenQuestion holds
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.