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Artificial synaptic...
Artificial synaptic characteristics of PVA:ZnO nanocomposite memristive devices
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- Kumari, Renu (författare)
- Central University of Rajasthan, Ajmer, India
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- Gellanki, Jnaneswari (författare)
- Hansraj College, New Delhi, India
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- Kundale, Somnath S. (författare)
- Shivaji University, Kolhapur, India,University of Delhi
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- Ustad, Ruhan E. (författare)
- Shivaji University, Kolhapur, India,University of Delhi
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- Dongale, Tukaram D. (författare)
- Shivaji University, Kolhapur, India,University of Delhi
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- Fu, Ying, 1964- (författare)
- Halmstad University,Högskolan i Halmstad,Akademin för informationsteknologi
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- Pettersson, Håkan, 1962- (författare)
- Halmstad University,Lund University,Lunds universitet,Högskolan i Halmstad,Akademin för informationsteknologi,Nanolund, Lund, Sweden,NanoLund: Centre for Nanoscience,Annan verksamhet, LTH,Lunds Tekniska Högskola,Fasta tillståndets fysik,Fysiska institutionen,Institutioner vid LTH,LTH profilområde: Nanovetenskap och halvledarteknologi,LTH profilområden,LU profilområde: Ljus och material,Lunds universitets profilområden,Other operations, LTH,Faculty of Engineering, LTH,Solid State Physics,Department of Physics,Departments at LTH,Faculty of Engineering, LTH,LTH Profile Area: Nanoscience and Semiconductor Technology,LTH Profile areas,Faculty of Engineering, LTH,LU Profile Area: Light and Materials,Lund University Profile areas
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- Kumar, Sandeep (författare)
- Central University of Rajasthan, Ajmer, India
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(creator_code:org_t)
- Melville : American Institute of Physics (AIP), 2023
- 2023
- Engelska.
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Ingår i: APL Materials. - Melville : American Institute of Physics (AIP). - 2166-532X. ; 11:10
- Relaterad länk:
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https://doi.org/10.1...
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http://dx.doi.org/10... (free)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://lup.lub.lu.s...
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Abstract
Ämnesord
Stäng
- Computational efficiency is significantly enhanced using artificial neural network-based computing. A two-terminal memristive device is a powerful electronic device that can mimic the behavior of a biological synapse in addition to storing information and performing logic operations. This work focuses on the fabrication of a memristive device that utilizes a resistive switching layer composed of polyvinyl alcohol infused with ZnO nanoparticles. By incorporating ZnO nanoparticles into the polymer film, the fabricated memristive devices exhibit functionalities that closely resemble those of biological synapses, including short-term and long-term plasticity, paired-pulse facilitation, and spike time-dependent plasticity. These findings establish the ZnO nanoparticle-polymer nanocomposite as a highly promising material for future neuromorphic systems. © 2023 Author(s).
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- Activation energy
- Computation theory
- Computational efficiency
- II-VI semiconductors
- Memristors
- Metal nanoparticles
- Neural networks
- Polymer films
- Semiconducting films
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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