Title : 
Foldable neuromorphic memristive electronics
         
        
            Author : 
Ghoneim, M.T. ; Zidan, Mohammed Affan ; Salama, Khaled N. ; Hussain, M.M.
         
        
            Author_Institution : 
Integrated Nanotechnol. Lab., King Abdullah Univ. of Sci. & Technol., Thuwal, Saudi Arabia
         
        
        
        
        
        
            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.
         
        
            Keywords : 
CMOS memory circuits; flexible electronics; integrated circuit manufacture; isolation technology; large scale integration; memristors; neural nets; random-access storage; silicon; CMOS compatible pragmatic fabrication approach; Si; brain cortex folded pattern; bulk monocrystalline silicon; flexible silicon fabric; foldable neuromorphic memristive electronics; folded architectural form factor; integrated neuromorphic devices; memristive devices; motor neuron; neuromorphic computer; nonvolatile memory applications; semitransparent silicon fabric; silicon wafer; trench-protect-release-recycle process; ultra-compact memory; ultra-large-scale-integration opportunity; ultracompact design; Fabrics; Memristors; Metals; Neuromorphics; Random access memory; Silicon; Substrates; biological systems; foldable electronics; memristive devices; neuromorphic computing;
         
        
        
        
            Conference_Titel : 
Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
         
        
            Conference_Location : 
Notre Dame, IN
         
        
        
            DOI : 
10.1109/CNNA.2014.6888624