DataVXACS Applied Electronic MaterialsPaper
journal article·2020-02-25

Lithium Ion Alloying-Type Artificial Synapses

Huanhuan Wei, Haiyang Yu, Jiangdong Gong, Jie Zhang, Hong Han, Mingxue Ma, Yao Ni, Yi Du, Shuo Zhang, Lu Liu, Wentao Xu

ACS Applied Electronic Materials· Volume 2· Issue 2
Publisher page
Source abstract

Abstract

This paper proposes an artificial synapse (AS) based on the alloying-type behavior of lithium ions (Li+) to govern ion migration and thereby adjust synaptic weights in artificial synaptic devices. The AS is obtained by constructing a nanoparticle/polymer electrolyte interface to achieve various basic synaptic functions. The AS exhibits a short-term to long-term memory (LTM) transition, low power consumption, and ultrahigh sensitivity. This strategy provides an approach to hunt for neuromorphic device materials, including alkali metal ions and their hosts.
Source: openalex_inverted_index · Quality: baseline

Research context

Energy storageMetals & alloysPolymersNanomaterials

OpenAlex topics: Advanced Memory and Neural Computing · Transition Metal Oxide Nanomaterials · Conducting polymers and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Optoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, P. R. China

Funding

State Administration of Foreign Experts Affairs · Natural Science Foundation of Tianjin City · Ministry of Education of the People's Republic of China · Hundred Young Academic Leaders Program of Nankai University · Guangdong Province · International Cooperation Base · Tianjin International Joint Research and Development Center

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