Literature DB >> 18549278

Core-shell heterostructured phase change nanowire multistate memory.

Yeonwoong Jung1, Se-Ho Lee, Andrew T Jennings, Ritesh Agarwal.   

Abstract

Phase-change memory, which switches reversibly between crystalline and amorphous phases, is promising for next generation data-storage devices. In this work, we present a novel, nonbinary data-storage device using core-shell nanowires to significantly enhance memory capacity by combining two phase-change materials with different electronic and thermal properties to engineer different onsets of amorphous-crystalline transitions. Electric-field induced sequential amorphous-crystalline transition in core-shell nanowires displays three distinct electronic states with high, low, and intermediate resistances, assigned as data "0", "1", and "2".

Year:  2008        PMID: 18549278     DOI: 10.1021/nl801482z

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   11.189


  5 in total

1.  Interface Analysis of MOCVD Grown GeTe/Sb2Te3 and Ge-Rich Ge-Sb-Te/Sb2Te3 Core-Shell Nanowires.

Authors:  Arun Kumar; Seyed Ariana Mirshokraee; Alessio Lamperti; Matteo Cantoni; Massimo Longo; Claudia Wiemer
Journal:  Nanomaterials (Basel)       Date:  2022-05-10       Impact factor: 5.719

2.  Ternary Resistance Switching Memory Behavior Based on Graphene Oxide Embedded in a Polystyrene Polymer Layer.

Authors:  Yanmei Sun; Dianzhong Wen; Xuduo Bai; Junguo Lu; Chunpeng Ai
Journal:  Sci Rep       Date:  2017-06-21       Impact factor: 4.379

3.  Changing molecular conjugation with a phenazine acceptor for improvement of small molecule-based organic electronic memory performance.

Authors:  Quan Liu; Caibin Zhao; Guanghui Tian; Hongguang Ge
Journal:  RSC Adv       Date:  2018-01-03       Impact factor: 3.361

4.  Reconfigurable, graphene-coated, chalcogenide nanowires with a sub-10-nm enantioselective sorting capability.

Authors:  Tun Cao; Long Tian; Huawei Liang; Kai-Rong Qin
Journal:  Microsyst Nanoeng       Date:  2018-05-21       Impact factor: 7.127

Review 5.  Memristive Artificial Synapses for Neuromorphic Computing.

Authors:  Wen Huang; Xuwen Xia; Chen Zhu; Parker Steichen; Weidong Quan; Weiwei Mao; Jianping Yang; Liang Chu; Xing'ao Li
Journal:  Nanomicro Lett       Date:  2021-03-06
  5 in total

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