GB2573693A - Memristive device based on alkali-doping of transitional metal oxides - Google Patents

Memristive device based on alkali-doping of transitional metal oxides Download PDF

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Publication number
GB2573693A
GB2573693A GB1910618.6A GB201910618A GB2573693A GB 2573693 A GB2573693 A GB 2573693A GB 201910618 A GB201910618 A GB 201910618A GB 2573693 A GB2573693 A GB 2573693A
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GB
United Kingdom
Prior art keywords
alkali
doping
device based
metal oxides
memristive device
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
GB1910618.6A
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English (en)
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GB201910618D0 (en
Inventor
Simcha Gershon Talia
Wayne Brew Kevin
Singh Saurabh
Newns Dennis
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
International Business Machines Corp
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International Business Machines Corp
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Publication of GB201910618D0 publication Critical patent/GB201910618D0/en
Publication of GB2573693A publication Critical patent/GB2573693A/en
Withdrawn legal-status Critical Current

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    • H—ELECTRICITY
    • H10—SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N—ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N70/00—Solid-state devices having no potential barriers, and specially adapted for rectifying, amplifying, oscillating or switching
    • H10N70/20—Multistable switching devices, e.g. memristors
    • H10N70/24—Multistable switching devices, e.g. memristors based on migration or redistribution of ionic species, e.g. anions, vacancies
    • H10N70/245—Multistable switching devices, e.g. memristors based on migration or redistribution of ionic species, e.g. anions, vacancies the species being metal cations, e.g. programmable metallization cells
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0499—Feedforward networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/065—Analogue means
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • H—ELECTRICITY
    • H10—SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N—ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N70/00—Solid-state devices having no potential barriers, and specially adapted for rectifying, amplifying, oscillating or switching
    • H10N70/011—Manufacture or treatment of multistable switching devices
    • H10N70/021—Formation of switching materials, e.g. deposition of layers
    • H—ELECTRICITY
    • H10—SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N—ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N70/00—Solid-state devices having no potential barriers, and specially adapted for rectifying, amplifying, oscillating or switching
    • H10N70/011—Manufacture or treatment of multistable switching devices
    • H10N70/041—Modification of switching materials after formation, e.g. doping
    • H—ELECTRICITY
    • H10—SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N—ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N70/00—Solid-state devices having no potential barriers, and specially adapted for rectifying, amplifying, oscillating or switching
    • H10N70/20—Multistable switching devices, e.g. memristors
    • H—ELECTRICITY
    • H10—SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N—ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N70/00—Solid-state devices having no potential barriers, and specially adapted for rectifying, amplifying, oscillating or switching
    • H10N70/801—Constructional details of multistable switching devices
    • H10N70/821—Device geometry
    • H10N70/826—Device geometry adapted for essentially vertical current flow, e.g. sandwich or pillar type devices
    • H—ELECTRICITY
    • H10—SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N—ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N70/00—Solid-state devices having no potential barriers, and specially adapted for rectifying, amplifying, oscillating or switching
    • H10N70/801—Constructional details of multistable switching devices
    • H10N70/821—Device geometry
    • H10N70/828—Current flow limiting means within the switching material region, e.g. constrictions
    • H—ELECTRICITY
    • H10—SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N—ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N70/00—Solid-state devices having no potential barriers, and specially adapted for rectifying, amplifying, oscillating or switching
    • H10N70/801—Constructional details of multistable switching devices
    • H10N70/841—Electrodes
    • H10N70/8416—Electrodes adapted for supplying ionic species
    • H—ELECTRICITY
    • H10—SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N—ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N70/00—Solid-state devices having no potential barriers, and specially adapted for rectifying, amplifying, oscillating or switching
    • H10N70/801—Constructional details of multistable switching devices
    • H10N70/881—Switching materials
    • H10N70/883—Oxides or nitrides
    • H10N70/8833—Binary metal oxides, e.g. TaOx

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Manufacturing & Machinery (AREA)
  • Neurology (AREA)
  • Semiconductor Memories (AREA)
  • Thyristors (AREA)
GB1910618.6A 2017-01-13 2018-01-03 Memristive device based on alkali-doping of transitional metal oxides Withdrawn GB2573693A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/405,555 US10164179B2 (en) 2017-01-13 2017-01-13 Memristive device based on alkali-doping of transitional metal oxides
PCT/IB2018/050033 WO2018130914A1 (en) 2017-01-13 2018-01-03 Memristive device based on alkali-doping of transitional metal oxides

Publications (2)

Publication Number Publication Date
GB201910618D0 GB201910618D0 (en) 2019-09-11
GB2573693A true GB2573693A (en) 2019-11-13

Family

ID=62839301

Family Applications (1)

Application Number Title Priority Date Filing Date
GB1910618.6A Withdrawn GB2573693A (en) 2017-01-13 2018-01-03 Memristive device based on alkali-doping of transitional metal oxides

Country Status (6)

Country Link
US (1) US10164179B2 (enExample)
JP (1) JP6921961B2 (enExample)
CN (1) CN110168761A (enExample)
DE (1) DE112018000134T5 (enExample)
GB (1) GB2573693A (enExample)
WO (1) WO2018130914A1 (enExample)

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US10127494B1 (en) * 2017-08-02 2018-11-13 Google Llc Neural network crossbar stack
US11455521B2 (en) 2019-03-01 2022-09-27 International Business Machines Corporation Neuromorphic device driven by copper ion intercalation
US11079958B2 (en) 2019-04-12 2021-08-03 Intel Corporation Apparatus, system and method for offloading data transfer operations between source and destination storage devices to a hardware accelerator
US11250315B2 (en) 2019-10-29 2022-02-15 International Business Machines Corporation Electrochemical device of variable electrical conductance
US11552246B2 (en) 2020-01-21 2023-01-10 Massachusetts Institute Of Technology Memristors and related systems and methods
US11742901B2 (en) * 2020-07-27 2023-08-29 Electronics And Telecommunications Research Institute Deep learning based beamforming method and apparatus
US11397544B2 (en) 2020-11-10 2022-07-26 International Business Machines Corporation Multi-terminal neuromorphic device
US11361821B2 (en) * 2020-11-10 2022-06-14 International Business Machines Corporation Drift and noise corrected memristive device
US11615842B2 (en) 2020-12-14 2023-03-28 International Business Machines Corporation Mixed conducting volatile memory element for accelerated writing of nonvolatile memristive device
CN113035953B (zh) * 2021-02-08 2023-07-14 清华大学 一种无机耐高温突触晶体管及其制备方法
JP2022125660A (ja) 2021-02-17 2022-08-29 キオクシア株式会社 記憶装置及び記憶方法

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US20130277638A1 (en) * 2010-12-17 2013-10-24 Centre National De La Recherche Scientifique Memristive Element and Electronic Memory Based on Such Elements
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CN104916777A (zh) * 2015-05-08 2015-09-16 浙江大学 一种锂离子掺杂石墨烯忆阻器及其制备方法

Also Published As

Publication number Publication date
JP6921961B2 (ja) 2021-08-18
US10164179B2 (en) 2018-12-25
JP2020509574A (ja) 2020-03-26
GB201910618D0 (en) 2019-09-11
US20180205011A1 (en) 2018-07-19
DE112018000134T5 (de) 2019-07-04
WO2018130914A1 (en) 2018-07-19
CN110168761A (zh) 2019-08-23

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