ArticleScience advances2018
Ultralow power artificial synapses using nanotextured magnetic Josephson junctions.
Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Underlying Framework of All-optical Controlled Synaptic Devices for Neuromorphic Computing.Nano-micro letters · 2026Review
- Organic Phototransistor Photonic Synapses for Artificial Vision.Nano-micro letters · 2026Review
- Dual-Mode Photonic Synapse Based on a Lead-Free 2D Ruddlesden-Popper Perovskite for Neuromorphic Vision.ACS applied materials & interfaces · 2025Article
- A self-training spiking superconducting neuromorphic architecture.Npj unconventional computing · 2025Article
- Neuromorphic Floating-Gate Memory Based on 2D Materials.Cyborg and bionic systems (Washington, D.C.) · 2025Review
- Photovoltaic nanocells for high-performance large-scale-integrated organic phototransistors.Nature nanotechnology · 2024Article
- Flexible Organic Electrochemical Transistors for Energy-Efficient Neuromorphic Computing.Nanomaterials (Basel, Switzerland) · 2024Article
- Optimisation Challenge for a Superconducting Adiabatic Neural Network That Implements XOR and OR Boolean Functions.Nanomaterials (Basel, Switzerland) · 2024Article
- Reconfigurable memlogic long wave infrared sensing with superconductors.Light, science & applications · 2024Article
- Magnetic Flux Sensor Based on Spiking Neurons with Josephson Junctions.Sensors (Basel, Switzerland) · 2024Article
- Spin-Valve-Controlled Triggering of Superconductivity.Nanomaterials (Basel, Switzerland) · 2024Article
- Bio-Inspired Design of Superconducting Spiking Neuron and Synapse.Nanomaterials (Basel, Switzerland) · 2023Article
- Tunnel Josephson Junction with Spin-Orbit/Ferromagnetic Valve.Nanomaterials (Basel, Switzerland) · 2023Article
- Bimodal ionic photomemristor based on a high-temperature oxide superconductor/semiconductor junction.Nature communications · 2023Article
- Artificial optoelectronic spiking neuron based on a resonant tunnelling diode coupled to a vertical cavity surface emitting laser.Nanophotonics (Berlin, Germany) · 2023Article
- A bifunctional superconducting cell as flux qubit and neuron.Beilstein journal of nanotechnology · 2023Article
- Perceptions of Justice By Algorithms.Artificial intelligence and law · 2023Article
- Superconducting Valve Exploiting Interplay between Spin-Orbit and Exchange Interactions.Nanomaterials (Basel, Switzerland) · 2022Article
- Superconducting Bio-Inspired Au-Nanowire-Based Neurons.Nanomaterials (Basel, Switzerland) · 2022Article
- Building block 3D printing based on molecular self-assembly monolayer with self-healing properties.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuromorphic computing promises to markedly improve the efficiency of certain computational tasks, such as perception and decision-making. Although software and specialized hardware implementations of neural networks have made tremendous accomplishments, both implementations are still many orders of magnitude less energy efficient than the human brain. We demonstrate a new form of artificial synapse based on dynamically reconfigurable superconducting Josephson junctions with magnetic nanoclusters in the barrier. The spiking energy per pulse varies with the magnetic configuration, but in our demonstration devices, the spiking energy is always less than 1 aJ. This compares very favorably with the roughly 10 fJ per synaptic event in the human brain. Each artificial synapse is composed of a Si barrier containing Mn nanoclusters with superconducting Nb electrodes. The critical current of each synapse junction, which is analogous to the synaptic weight, can be tuned using input voltage spikes that change the spin alignment of Mn nanoclusters. We demonstrate synaptic weight training with electrical pulses as small as 3 aJ. Further, the Josephson plasma frequencies of the devices, which determine the dynamical time scales, all exceed 100 GHz. These new artificial synapses provide a significant step toward a neuromorphic platform that is faster, more energy-efficient, and thus can attain far greater complexity than has been demonstrated with other technologies.
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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.