<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Liao F</submitter><funding>National Natural Science Foundation of China (National Science Foundation of China)</funding><pagination>10932</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12686015</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>16(1)</volume><pubmed_abstract>An architecture for three-dimensional integration of dynamic random-access memory that enables higher memory density is presented as a new solution to the bottleneck currently faced in artificial intelligence deployment. The basis of this architecture is a vertical dual-gate two-transistors-zero-capacitor memory cell which yields a small feature size and reliable read operation, and naturally scalable to large-scale arrays. However, three-dimensional integration of the dynamic random-access memory faces highly-limiting challenges related to lateral misalignment and thermal cycling as a result of separate stacking processes. To solve the issues of cell misalignment and thermal cycling, a single step process is used to stack the dual-gate In-Ga-Zn-O transistors simultaneously. By optimizing </pubmed_abstract><journal>Nature communications</journal><pubmed_title>High-density three-dimensional integration of dynamic random-access memory using vertical dual-gate IGZO TFTs.</pubmed_title><pmcid>PMC12686015</pmcid><funding_grant_id>62488201</funding_grant_id><funding_grant_id>62574003</funding_grant_id><pubmed_authors>Mao N</pubmed_authors><pubmed_authors>Wang GL</pubmed_authors><pubmed_authors>Zhu Z</pubmed_authors><pubmed_authors>Lu W</pubmed_authors><pubmed_authors>Liu M</pubmed_authors><pubmed_authors>Zhang J</pubmed_authors><pubmed_authors>Wang J</pubmed_authors><pubmed_authors>Yue J</pubmed_authors><pubmed_authors>Wang L</pubmed_authors><pubmed_authors>Wu Z</pubmed_authors><pubmed_authors>Liao F</pubmed_authors><pubmed_authors>Jin M</pubmed_authors><pubmed_authors>Yu Y</pubmed_authors><pubmed_authors>Yang G</pubmed_authors><pubmed_authors>Wu XS</pubmed_authors><pubmed_authors>Chen K</pubmed_authors><pubmed_authors>Zhao C</pubmed_authors><pubmed_authors>Nathan A</pubmed_authors><pubmed_authors>Lu C</pubmed_authors><pubmed_authors>Kang BM</pubmed_authors><pubmed_authors>Li L</pubmed_authors><pubmed_authors>Geng D</pubmed_authors><pubmed_authors>Li Z</pubmed_authors><pubmed_authors>Lu N</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Liu C</pubmed_authors><pubmed_authors>Shi J</pubmed_authors></additional><is_claimable>false</is_claimable><name>High-density three-dimensional integration of dynamic random-access memory using vertical dual-gate IGZO TFTs.</name><description>An architecture for three-dimensional integration of dynamic random-access memory that enables higher memory density is presented as a new solution to the bottleneck currently faced in artificial intelligence deployment. The basis of this architecture is a vertical dual-gate two-transistors-zero-capacitor memory cell which yields a small feature size and reliable read operation, and naturally scalable to large-scale arrays. However, three-dimensional integration of the dynamic random-access memory faces highly-limiting challenges related to lateral misalignment and thermal cycling as a result of separate stacking processes. To solve the issues of cell misalignment and thermal cycling, a single step process is used to stack the dual-gate In-Ga-Zn-O transistors simultaneously. By optimizing </description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-05T23:44:40.187Z</modification><creation>2026-05-23T03:13:42.664Z</creation></dates><accession>S-EPMC12686015</accession><cross_references><pubmed>41360784</pubmed><doi>10.1038/s41467-025-65925-3</doi></cross_references></HashMap>