Lead Sulfide Quantum Dots for Synaptic Transistors: Modulating the Learning Timescale with Ligands
One of the emerging paradigms to resolve pressing issues of modern computing electronics, such as limits in miniaturization and excessive energy consumption, takes inspiration from the biological brain and is therefore expected to display some of its properties, such as energy efficiency and effecti...
Main Authors: | Karolina Tran, Han Wang, Meike Pieters, Maria Antonietta Loi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-11-01
|
Series: | Advanced Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1002/aisy.202300218 |
Similar Items
-
Transistor-Based Synaptic Devices for Neuromorphic Computing
by: Wen Huang, et al.
Published: (2024-01-01) -
Achieving Microstructure‐Controlled Synaptic Plasticity and Long‐Term Retention in Ion‐Gel‐Gated Organic Synaptic Transistors
by: Gyeong-Tak Go, et al.
Published: (2020-11-01) -
Recent Progress on Emerging Transistor‐Based Neuromorphic Devices
by: Yongli He, et al.
Published: (2021-07-01) -
Solid-state electrolyte gated synaptic transistor based on SrFeO2.5 film channel
by: Peng Shi, et al.
Published: (2021-11-01) -
Tunable Synaptic Plasticity in Crystallized Conjugated Polymer Nanowire Artificial Synapses
by: Hong Han, et al.
Published: (2020-03-01)