Výsledky vyhledávání - "Swapnil R Patil"

Akademický článek

Frugal discrete memristive device based on potassium permanganate solution

Autor: Chetan C Revadekar, Ashkan Vakilipour Takaloo, Sandeep P Shinde, Swapnil R Patil, Somnath S Kundale, Deok-kee Kim, Tukaram D Dongale

Publikováno v: Materials Research Express, Vol 8, Iss 7, p 076304 (2021)

Many thin film-based devices with solid electrolytes have been studied for memristive applications. Herein, we report a simple and facile way to fabricate solution-based, low-cost, and discrete two-terminal memristive devices using the KMnO _4 soluti

Externí odkaz: https://doaj.org/article/fc7f3be2b3c44cadabab9ce5cab84431

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Akademický článek

Synaptic learning functionalities of inverse biomemristive device based on trypsin for artificial intelligence application

Autor: Trishala R. Desai, Tukaram D. Dongale, Swapnil R. Patil, Arpita Pandey Tiwari, Pankaj K. Pawar, Rajanish K. Kamat, Tae Geun Kim

Publikováno v: Journal of Materials Research and Technology, Vol 11, Iss , Pp 1100-1110 (2021)

This paper presents an organic memristive device based on the soft and quasi-liquid trypsin biomaterial. Accordingly, trypsin is isolated from the bovine pancreas and deposited on a conducting fluorine-doped tin oxide (FTO) substrate. The current–v

Externí odkaz: https://doaj.org/article/5349ad521f7348a3b5ac01427e5d8b54

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Forming-free and multilevel resistive switching properties of hydrothermally synthesized hexagonal molybdenum oxide microrods

Autor: Shivaji N. Tayade, Bhagyashri B. Kamble, Rajanish K. Kamat, Tukaram D. Dongale, Swapnil R. Patil, N. B. Mullani, Tae Joo Park, Deok-kee Kim

Publikováno v: Journal of Materials Science: Materials in Electronics. 32:12490-12502

In recent years, resistive switching memory devices are attracted much attention for high-density non-volatile memory applications owing to their cell scalability, multilevel operations, and 3D capability in crossbar memory arrays. In this work, we r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5b3d17b95a0169f7234f551054bcc3e7
https://doi.org/10.1007/s10854-021-05883-w

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Synaptic learning functionalities of inverse biomemristive device based on trypsin for artificial intelligence application

Autor: Swapnil R. Patil, Arpita P. Tiwari, Pankaj K. Pawar, Rajanish K. Kamat, Tukaram D. Dongale, Trishala R. Desai, Tae Geun Kim

Publikováno v: Journal of Materials Research and Technology, Vol 11, Iss, Pp 1100-1110 (2021)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12c1e315b59d36b28cb7b50178091d97
http://www.sciencedirect.com/science/article/pii/S2238785421001083

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