{"id":638352,"date":"2024-09-14T16:00:01","date_gmt":"2024-09-14T13:00:01","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/researchers-develop-scalable-approach-to-integrate-ultrafast-2d-flash-memories\/"},"modified":"2024-09-14T16:00:01","modified_gmt":"2024-09-14T13:00:01","slug":"researchers-develop-scalable-approach-to-integrate-ultrafast-2d-flash-memories","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/researchers-develop-scalable-approach-to-integrate-ultrafast-2d-flash-memories\/","title":{"rendered":"#Researchers develop scalable approach to integrate ultrafast 2D flash memories"},"content":{"rendered":"<div>\n<div class=\"article-gallery lightGallery\">\n<div data-thumb=\"https:\/\/scx1.b-cdn.net\/csz\/news\/tmb\/2024\/a-scalable-approach-to.jpg\" data-src=\"https:\/\/scx2.b-cdn.net\/gfx\/news\/hires\/2024\/a-scalable-approach-to.jpg\" data-sub-html=\"Implementation and characterization of a flash-memory device with a sub-10\u2009nm channel length. Credit: &lt;i&gt;Nature Electronics&lt;\/i&gt; (2024). DOI: 10.1038\/s41928-024-01229-6\">\n<figure class=\"article-img\">\n            <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/scx1.b-cdn.net\/csz\/news\/800a\/2024\/a-scalable-approach-to.jpg\" alt=\"A scalable approach to integrate ultrafast 2D flash memories\" title=\"Implementation and characterization of a flash-memory device with a sub-10\u2009nm channel length. Credit: Nature Electronics (2024). DOI: 10.1038\/s41928-024-01229-6\" width=\"800\" height=\"530\"\/><figcaption class=\"text-darken text-low-up text-truncate-js text-truncate mt-3\">\n                Implementation and characterization of a flash-memory device with a sub-10\u2009nm channel length. Credit: <i>Nature Electronics<\/i> (2024). DOI: 10.1038\/s41928-024-01229-6<br \/>\n            <\/figcaption><\/figure>\n<\/p><\/div>\n<\/div>\n<p>The widespread use of artificial intelligence (AI) tools designed to process large amounts of data has increased the need for better performing memory devices. The data storage solutions that could help to meet the computational demands of AI include so-called high-bandwidth memories, technologies that can increase the memory bandwidth of computer processors, speeding up the transfer of data and reducing power consumption.<\/p>\n<p>                                                                                                                                    Currently, flash memories are the most prominent memory solutions capable of storing information when a device is turned off (i.e., non-volatile memories). Despite their widespread use, the speed of most existing flash memories is limited and does not best support the operation of AI.<\/p>\n<p>In recent years, some engineers have thus been trying to develop ultrafast flash memories that could transfer data faster and more efficiently. Two-dimensional (2D) materials have shown promise for fabricating these better performing memory devices.<\/p>\n<p>While some long-channel flash-memory devices assembled from exfoliated 2D materials have been found to exhibit ultrafast processing speeds, the scalable integration of these devices has so far proven challenging. This has so far limited their large-scale commercialization and deployment.<\/p>\n<p>Researchers at Fudan University recently devised a new <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/download-scripts-themes-apps\/\" data-internallinksmanager029f6b8e52c=\"9\" title=\"Download Scripts &amp; Themes &amp; Apps\" target=\"_blank\" rel=\"noopener\">app<\/a>roach for the scalable integration of ultrafast 2D flash memory devices. This approach, outlined in <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.nature.com\/articles\/s41928-024-01229-6\">a paper<\/a> in <i>Nature Electronics<\/i>, was effectively used to integrate 1,024 flash-memory devices with a yield of over 98%.<\/p>\n<p>&#8220;Two-dimensional (2D) materials could potentially be used to create ultrafast flash memory,&#8221; wrote Yongbo Jiang, Chunsen Liu, and their colleagues in their paper. &#8220;However, due to interface engineering problems, ultrafast non-volatile performance is presently restricted to exfoliated 2D materials, and there is a lack of performance demonstrations with short-channel devices. We report a scalable integration process for ultrafast 2D flash memory that can be used to integrate 1,024 flash-memory devices with a yield of over 98%.&#8221;<\/p>\n<p>                                                                                                        <!-- TechX - News - In-article --><\/p>\n<p>                                                                                                                                            To fabricate their ultrafast flash-memory array, the researchers used a combination of processing techniques, including lithography, e-beam evaporation, thermal atomic layer deposition, a polystyrene-assisted transfer technique and an annealing process. As part of their recent study, they applied their proposed approach to the fabrication of memories with two distinct memory stack configurations, both of which attained high yields.<\/p>\n<p>&#8220;We illustrate the approach with two different tunneling barrier configurations of the memory stack (HfO<sub>2<\/sub>\/Pt\/HfO<sub>2<\/sub> and Al<sub>2<\/sub>O<sub>3<\/sub>\/Pt\/Al<sub>2<\/sub>O<sub>3<\/sub>) and using transferred chemical vapor deposition-grown monolayer molybdenum disulfide,&#8221; wrote the researchers.<\/p>\n<p>&#8220;We also show that the channel length of the ultrafast flash memory can be scaled down to sub-10\u2009nm, which is below the physical limit of silicon flash memory. Our sub-10\u2009nm devices offer non-volatile information storage (up to 4\u2009bits) and robust endurance (over 10<sup>5<\/sup>).&#8221;<\/p>\n<p>Initial tests run by Jiang, Liu and their colleagues demonstrated the promise of their approach for the scalable integration of ultrafast flash memories attaining high yields. The researchers successfully scaled the channel length of their flash memories down to sub-10 nm and found that these sub-10 nm devices still exhibited ultrafast speeds, storing up to 4 bits and maintaining their non-volatility.<\/p>\n<p>Further studies could use the team&#8217;s proposed integration process to fabricate flash memory arrays based on other 2D materials and with varying memory stack configurations. These efforts could further contribute to the future large-scale deployment of ultrafast flash memory devices.<\/p>\n<div class=\"article-main__more p-4\">\n                                                                                                <strong>More information:<\/strong><br \/>\n                                                Yongbo Jiang et al, A scalable integration process for ultrafast two-dimensional flash memory, <i>Nature Electronics<\/i> (2024). <a rel=\"nofollow noopener\" target=\"_blank\" data-doi=\"1\" href=\"https:\/\/dx.doi.org\/10.1038\/s41928-024-01229-6\">DOI: 10.1038\/s41928-024-01229-6<\/a><\/p><\/div>\n<p class=\"article-main__note mt-4\">\n                                                \u00a9 2024 <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/sciencee\/\" data-internallinksmanager029f6b8e52c=\"5\" title=\"Science\" target=\"_blank\" rel=\"noopener\">Science<\/a> X Network\n                                            <\/p>\n<p>                                        <!-- print only --><\/p>\n<div class=\"d-none d-print-block\">\n<p>                                                <strong>Citation<\/strong>:<br \/>\n                                                Researchers develop scalable approach to integrate ultrafast 2D flash memories (2024, September 14)<br \/>\n                                                retrieved 14 September 2024<br \/>\n                                                from https:\/\/techxplore.com\/<a href=\"https:\/\/buradabiliyorum.com\/en\/category\/news\/\" data-internallinksmanager029f6b8e52c=\"2\" title=\"News\" target=\"_blank\" rel=\"noopener\">news<\/a>\/2024-09-scalable-approach-ultrafast-2d-memories.html<\/p>\n<p>                                            This document is subject to copyright. 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Credit: Nature Electronics (2024). DOI: 10.1038\/s41928-024-01229-6 The widespread use of artificial intelligence (AI) tools designed to process large amounts of data has increased the need for better performing memory devices. The data storage solutions that could help to meet the computational demands of&#8230;<\/p>\n","protected":false},"author":1,"featured_media":638353,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/scx2.b-cdn.net\/gfx\/news\/hires\/2024\/a-scalable-approach-to.jpg","fifu_image_alt":"","footnotes":""},"categories":[16],"tags":[],"class_list":["post-638352","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sciencee"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/638352","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=638352"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/638352\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media\/638353"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=638352"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=638352"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=638352"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}