TY - GEN
T1 - Foldable neuromorphic memristive electronics
AU - Ghoneim, Mohamed T.
AU - Zidan, Mohammed A.
AU - Salama, Khaled N.
AU - Hussain, Muhammad Mustafa
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2014/7
Y1 - 2014/7
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/564950
UR - http://ieeexplore.ieee.org/document/6888624/
UR - http://www.scopus.com/inward/record.url?scp=84907758014&partnerID=8YFLogxK
U2 - 10.1109/CNNA.2014.6888624
DO - 10.1109/CNNA.2014.6888624
M3 - Conference contribution
SN - 9781479964680
BT - 2014 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -