{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:42:29Z","timestamp":1775004149471,"version":"3.50.1"},"reference-count":46,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2024,7,17]],"date-time":"2024-07-17T00:00:00Z","timestamp":1721174400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003052","name":"Ministry of Trade, Industry and Energy","doi-asserted-by":"publisher","award":["1415181049"],"award-info":[{"award-number":["1415181049"]}],"id":[{"id":"10.13039\/501100003052","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Intelligent Systems"],"published-print":{"date-parts":[[2024,12]]},"abstract":"<jats:p>Memristors play a pivotal role in advanced computing, with memristor\u2010based crossbar arrays showing promise for various artificial neural networks. Among these, HfO<jats:sub>2<\/jats:sub>\u2010based ferroelectric tunnel junctions (FTJs) stand out as ideal synaptic devices for neuromorphic computing. Their compatibility with the complementary metal oxide semiconductor process and intrinsic energy efficiency make them particularly appealing. While an increasing number of studies adopt identical pulse programming (IPP) with short width to update the conductance of HfO<jats:sub>2<\/jats:sub>\u2010based FTJs synaptic devices, conventional ferroelectric switching models fall short in describing updates the conductance with the IPP scheme. Consequently, studies achieving conductance updates via IPP lack an underlying mechanism explanation, potentially limiting the application of HfO<jats:sub>2<\/jats:sub>\u2010based FTJs as synaptic devices. This study explores the potential of ferroelectric Zr\u2010doped HfO<jats:sub>2<\/jats:sub> (HZO) FTJs to undergo learning through the IPP scheme. Synaptic characteristics, including the number of conductance states, symmetry, linearity, write energy, and latency by modulating IPP scheme conditions are optimized. Finally, the applicability of HZO FTJ as a synaptic device by assessing learning accuracy in pattern recognition through artificial neural network simulation based on the optimized synaptic characteristics is evaluated.<\/jats:p>","DOI":"10.1002\/aisy.202400211","type":"journal-article","created":{"date-parts":[[2024,7,17]],"date-time":"2024-07-17T06:31:11Z","timestamp":1721197871000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Maximizing the Synaptic Efficiency of Ferroelectric Tunnel Junction Devices Using a Switching Mechanism Hidden in an Identical Pulse Programming Learning Scheme"],"prefix":"10.1002","volume":"6","author":[{"given":"Wonwoo","family":"Kho","sequence":"first","affiliation":[{"name":"Department of IT Semiconductor Convergence Engineering Tech University of Korea  Siheung 15073 Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyunjoo","family":"Hwang","sequence":"additional","affiliation":[{"name":"Department of IT Semiconductor Convergence Engineering Tech University of Korea  Siheung 15073 Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taewan","family":"Noh","sequence":"additional","affiliation":[{"name":"Department of IT Semiconductor Convergence Engineering Tech University of Korea  Siheung 15073 Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hoseong","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of IT Semiconductor Convergence Engineering Tech University of Korea  Siheung 15073 Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ji Min","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of IT Semiconductor Convergence Engineering Tech University of Korea  Siheung 15073 Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7434-5579","authenticated-orcid":false,"given":"Seung\u2010Eon","family":"Ahn","sequence":"additional","affiliation":[{"name":"Department of IT Semiconductor Convergence Engineering Tech University of Korea  Siheung 15073 Republic of Korea"},{"name":"Department of Nano &amp; Semiconductor Engineering Tech University of Korea  Siheung 15073 Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2024,7,17]]},"reference":[{"key":"e_1_2_8_2_1","first-page":"1","volume-title":"The Digitization of the World from Edge to Core","author":"Rydning D. 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