TY - GEN
T1 - Transformational electronics: a powerful way to revolutionize our information world
AU - Rojas, Jhonathan Prieto
AU - Sevilla, Galo T.
AU - Ghoneim, Mohamed T.
AU - Hussain, Aftab M.
AU - Ahmed, Sally
AU - Nassar, Joanna M.
AU - Bahabry, Rabab R.
AU - Nour, Maha A.
AU - Kutbee, Arwa T.
AU - Byas, Ernesto
AU - Alsaif, Bidoor
AU - Alamri, Amal M.
AU - Hussain, Muhammad Mustafa
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2014/6/4
Y1 - 2014/6/4
N2 - With the emergence of cloud computation, we are facing the rising waves of big data. It is our time to leverage such opportunity by increasing data usage both by man and machine. We need ultra-mobile computation with high data processing speed, ultra-large memory, energy efficiency and multi-functionality. Additionally, we have to deploy energy-efficient multi-functional 3D ICs for robust cyber-physical system establishment. To achieve such lofty goals we have to mimic human brain, which is inarguably the world’s most powerful and energy efficient computer. Brain’s cortex has folded architecture to increase surface area in an ultra-compact space to contain its neuron and synapses. Therefore, it is imperative to overcome two integration challenges: (i) finding out a low-cost 3D IC fabrication process and (ii) foldable substrates creation with ultra-large-scale-integration of high performance energy efficient electronics. Hence, we show a low-cost generic batch process based on trench-protect-peel-recycle to fabricate rigid and flexible 3D ICs as well as high performance flexible electronics. As of today we have made every single component to make a fully flexible computer including non-planar state-of-the-art FinFETs. Additionally we have demonstrated various solid-state memory, movable MEMS devices, energy harvesting and storage components. To show the versatility of our process, we have extended our process towards other inorganic semiconductor substrates such as silicon germanium and III-V materials. Finally, we report first ever fully flexible programmable silicon based microprocessor towards foldable brain computation and wirelessly programmable stretchable and flexible thermal patch for pain management for smart bionics. © (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
AB - With the emergence of cloud computation, we are facing the rising waves of big data. It is our time to leverage such opportunity by increasing data usage both by man and machine. We need ultra-mobile computation with high data processing speed, ultra-large memory, energy efficiency and multi-functionality. Additionally, we have to deploy energy-efficient multi-functional 3D ICs for robust cyber-physical system establishment. To achieve such lofty goals we have to mimic human brain, which is inarguably the world’s most powerful and energy efficient computer. Brain’s cortex has folded architecture to increase surface area in an ultra-compact space to contain its neuron and synapses. Therefore, it is imperative to overcome two integration challenges: (i) finding out a low-cost 3D IC fabrication process and (ii) foldable substrates creation with ultra-large-scale-integration of high performance energy efficient electronics. Hence, we show a low-cost generic batch process based on trench-protect-peel-recycle to fabricate rigid and flexible 3D ICs as well as high performance flexible electronics. As of today we have made every single component to make a fully flexible computer including non-planar state-of-the-art FinFETs. Additionally we have demonstrated various solid-state memory, movable MEMS devices, energy harvesting and storage components. To show the versatility of our process, we have extended our process towards other inorganic semiconductor substrates such as silicon germanium and III-V materials. Finally, we report first ever fully flexible programmable silicon based microprocessor towards foldable brain computation and wirelessly programmable stretchable and flexible thermal patch for pain management for smart bionics. © (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
UR - http://hdl.handle.net/10754/555641
UR - http://proceedings.spiedigitallibrary.org/proceeding.aspx?doi=10.1117/12.2050103
UR - http://www.scopus.com/inward/record.url?scp=84905748699&partnerID=8YFLogxK
U2 - 10.1117/12.2050103
DO - 10.1117/12.2050103
M3 - Conference contribution
SN - 9781628410204
BT - Micro- and Nanotechnology Sensors, Systems, and Applications VI
PB - SPIE-Intl Soc Optical Eng
ER -