Li‐Ion Synaptic Transistor for Low Power Analog Computing

By E. Fuller, F. E. Gabaly, F. Léonard, S. Agarwal, S. Plimpton, R. Jacobs-Gedrim, C. James, M. Marinella, A. Alec Talin. Advances in Materials, 2017

526 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8342087c797b4769155945b53aa6a6540db175b0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Mohammed Affan Zidan
2. Wei D. Lu
3. George G. Malliaras
4. John Paul Strachan
5. Alberto Salleo
6. Armantas Melianas
7. Scott T. Keene
8. Y. van de Burgt

In Electrical and Electronic Engineering

1. Mohammed Affan Zidan
2. Wei D. Lu
3. George G. Malliaras
4. John Paul Strachan
5. Alberto Salleo
6. Armantas Melianas
7. Scott T. Keene
8. Y. van de Burgt

Citations in the corpus

• Organic electronics for neuromorphic computing (2018, background): “At the same time, switching mechanisms in organic devices can also serve as inspiration for inorganic devices, as was recently demonstrated in an Li-ion-based inorganic synapse for analogue computing 112 .”
• The future of electronics based on memristive systems (2018, background): “In this case, switching can occur at a very low voltage (for example, 5 mV), resulting in excellent power efficiency 71 .”