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Development and Characterization of ...

Gao, Zhaolin,

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Development and Characterization of Novel Geopolymer-Based Artificial Synapses /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Development and Characterization of Novel Geopolymer-Based Artificial Synapses // Zhaolin Gao.
Author:	Gao, Zhaolin,
Description:	1 electronic resource (191 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-08, Section: B.
Contained By:	Dissertations Abstracts International86-08B.
Subject:	Engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31761353
ISBN:	9798302862372

Development and Characterization of Novel Geopolymer-Based Artificial Synapses /
Gao, Zhaolin,

Development and Characterization of Novel Geopolymer-Based Artificial Synapses /Zhaolin Gao. - 1 electronic resource (191 pages)

Source: Dissertations Abstracts International, Volume: 86-08, Section: B.

This work presents the development of geopolymer (GP) memristors, low-cost ceramic materials manufactured at room temperature, that demonstrate memristive properties for the first time. These memristors emulate synaptic functions through a unique electroosmosis-based switching mechanism, where ion channels formed within the material's pores alter its conductance. Geopolymers exhibit synaptic plasticity behaviors such as Short-Term Plasticity (STP), Long-Term Plasticity (LTP), Spike-Timing-Dependent Plasticity (STDP), and Paired-Pulse Facilitation (PPF), making them promising candidates for neuromorphic computing applications. A novel, inexpensive micron-scale manufacturing process is also proposed, as well as a functionalization of geopolymers with ionic liquids (ILs) that significantly improves memory retention (up to 78%) and synaptic behavior over a period of a month. These advancements position IL-functionalized GP memristors as strong contenders for use in neuromorphic computing applications such as reservoir computing.

English

ISBN: 9798302862372Subjects--Topical Terms:

586835
Engineering.
Subjects--Index Terms:

Artificial synapse

Development and Characterization of Novel Geopolymer-Based Artificial Synapses /
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100 1 $a Gao, Zhaolin, $e author. $3 3830126
245 1 0 $a Development and Characterization of Novel Geopolymer-Based Artificial Synapses / $c Zhaolin Gao.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (191 pages)
336 $a text $b txt $2 rdacontent
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500 $a Source: Dissertations Abstracts International, Volume: 86-08, Section: B.
500 $a Advisors: Lamuta, Caterina Committee members: Kruger, Anton; Lu, Jia; Xiao, Shaoping.
502 $b Ph.D. $c The University of Iowa $d 2024.
520 $a This work presents the development of geopolymer (GP) memristors, low-cost ceramic materials manufactured at room temperature, that demonstrate memristive properties for the first time. These memristors emulate synaptic functions through a unique electroosmosis-based switching mechanism, where ion channels formed within the material's pores alter its conductance. Geopolymers exhibit synaptic plasticity behaviors such as Short-Term Plasticity (STP), Long-Term Plasticity (LTP), Spike-Timing-Dependent Plasticity (STDP), and Paired-Pulse Facilitation (PPF), making them promising candidates for neuromorphic computing applications. A novel, inexpensive micron-scale manufacturing process is also proposed, as well as a functionalization of geopolymers with ionic liquids (ILs) that significantly improves memory retention (up to 78%) and synaptic behavior over a period of a month. These advancements position IL-functionalized GP memristors as strong contenders for use in neuromorphic computing applications such as reservoir computing.
546 $a English
590 $a School code: 0096
650 4 $a Engineering. $3 586835
650 4 $a Applied physics. $3 3343996
650 4 $a Neurosciences. $3 588700
650 4 $a Mechanical engineering. $3 649730
653 $a Artificial synapse
653 $a Electro-osmosis
653 $a Geopolymer
653 $a Memristors
653 $a Synaptic memory
653 $a Synaptic plasticity
690 $a 0537
690 $a 0317
690 $a 0548
690 $a 0215
710 2 $a The University of Iowa. $b Mechanical Engineering. $e degree granting institution. $3 3820113
720 1 $a Lamuta, Caterina $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-08B.
790 $a 0096
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31761353