2023
DOI: 10.1002/aisy.202300218
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Lead Sulfide Quantum Dots for Synaptic Transistors: Modulating the Learning Timescale with Ligands

Karolina Tran,
Han Wang,
Meike Pieters
et al.

Abstract: 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 effective learning. Moreover, one of the brain's remarkable properties is its ability to process complex information by resolving it on different timescales. In synapse‐emulating artificial devices, some form of memory (e.… Show more

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