Foldable neuromorphic memristive electronics

Handle URI:
http://hdl.handle.net/10754/564950
Title:
Foldable neuromorphic memristive electronics
Authors:
Ghoneim, Mohamed T. ( 0000-0002-5568-5284 ) ; Zidan, Mohammed A. ( 0000-0003-3843-814X ) ; Salama, Khaled N. ( 0000-0001-7742-1282 ) ; Hussain, Muhammad Mustafa ( 0000-0003-3279-0441 )
Abstract:
Neuromorphic computer will need folded architectural form factor to match brain cortex's folded pattern for ultra-compact design. In this work, we show a state-of-the-art CMOS compatible pragmatic fabrication approach of building structurally foldable and densely integrated neuromorphic devices for non-volatile memory applications. We report the first ever memristive devices with the size of a motor neuron on bulk mono-crystalline silicon (100) and then with trench-protect-release-recycle process transform the silicon wafer with devices into a flexible and semi-transparent silicon fabric while recycling the remaining wafer for further use. This process unconditionally offers the ultra-large-scale-integration opportunity-increasingly critical for ultra-compact memory.
KAUST Department:
Integrated Nanotechnology Lab; Sensors Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2014 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)
Conference/Event name:
2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014
Issue Date:
Jul-2014
DOI:
10.1109/CNNA.2014.6888624
Type:
Conference Paper
ISSN:
21650160
ISBN:
9781479964680
Appears in Collections:
Conference Papers; Electrical Engineering Program; Integrated Nanotechnology Lab; Sensors Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorGhoneim, Mohamed T.en
dc.contributor.authorZidan, Mohammed A.en
dc.contributor.authorSalama, Khaled N.en
dc.contributor.authorHussain, Muhammad Mustafaen
dc.date.accessioned2015-08-04T07:26:03Zen
dc.date.available2015-08-04T07:26:03Zen
dc.date.issued2014-07en
dc.identifier.isbn9781479964680en
dc.identifier.issn21650160en
dc.identifier.doi10.1109/CNNA.2014.6888624en
dc.identifier.urihttp://hdl.handle.net/10754/564950en
dc.description.abstractNeuromorphic computer will need folded architectural form factor to match brain cortex's folded pattern for ultra-compact design. In this work, we show a state-of-the-art CMOS compatible pragmatic fabrication approach of building structurally foldable and densely integrated neuromorphic devices for non-volatile memory applications. We report the first ever memristive devices with the size of a motor neuron on bulk mono-crystalline silicon (100) and then with trench-protect-release-recycle process transform the silicon wafer with devices into a flexible and semi-transparent silicon fabric while recycling the remaining wafer for further use. This process unconditionally offers the ultra-large-scale-integration opportunity-increasingly critical for ultra-compact memory.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectbiological systemsen
dc.subjectfoldable electronicsen
dc.subjectmemristive devicesen
dc.subjectneuromorphic computingen
dc.titleFoldable neuromorphic memristive electronicsen
dc.typeConference Paperen
dc.contributor.departmentIntegrated Nanotechnology Laben
dc.contributor.departmentSensors Laben
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2014 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)en
dc.conference.date29 July 2014 through 31 July 2014en
dc.conference.name2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014en
kaust.authorGhoneim, Mohamed T.en
kaust.authorZidan, Mohammed A.en
kaust.authorSalama, Khaled N.en
kaust.authorHussain, Muhammad Mustafaen
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