18 - 22 August 2024
San Diego, California, US
Conference 13142 > Paper 13142-3
Paper 13142-3

Ultra-low-energy synaptic-like optical data storage mediated by photo-switchable upconversion states

18 August 2024 • 9:50 AM - 10:10 AM PDT | Conv. Ctr. Room 15B

Abstract

The data increase necessitates high-capacity, low-energy optical data storage. Bridging the memory gap between units and processors requires techniques and materials mimicking the efficiency of the human brain’s memory based on synaptic plasticity. Optical techniques show promise, yet energy-efficient optical data storage compels advanced media. Upconversion nanoparticles are luminescent nanomaterials for high-capacity, low-energy optical data storage. We used upconversion nanoparticles for ultra-low-energy optical data storage with synaptic-like behaviour by switching upconversion states under low light power irradiation. We achieved features with sub-nanojoule-level energy consumption and synaptic-like functions of the human brain’s memory, enabling short-term and long-term memory.

Presenter

Simone Lamon
Univ. of Shanghai for Science and Technology (China)
Dr Simone Lamon completed a PhD degree in Applied Physics, Optics at the Laboratory of Artificial Intelligence Nanophotonics, Royal Melbourne Institute of Technology University in 2019. He currently is a research fellow at the Institute of Photonic Chips, University of Shanghai for Science and Technology. Dr Lamon’s research focuses on the development of artificial intelligence-enabled nano-photonic solutions for high-capacity optical data storage, super-resolution optical microscopy, and optical nano-lithography.
Application tracks: Sustainability
Presenter/Author
Simone Lamon
Univ. of Shanghai for Science and Technology (China)
Author
Univ. of Shanghai for Science and Technology (China)
Author
Univ. of Shanghai for Science and Technology (China)
Author
Min Gu
Univ. of Shanghai for Science and Technology (China)