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A comprehensive approach to decipher biological computation to achieve next generation high-performance exascale computing

Howell, Jamie D.; Lohn, Andrew L.; Marinella, Matthew J.; Baca, Michael J.; Finnegan, Patrick S.; Wolfley, Steven L.; Dagel, Daryl D.; Spahn, Olga B.; Harper, Jason C.; Pohl, Kenneth R.; Mickel, Patrick R.

The human brain (volume=1200cm3) consumes 20W and is capable of performing > 10^16 operations/s. Current supercomputer technology has reached 1015 operations/s, yet it requires 1500m^3 and 3MW, giving the brain a 10^12 advantage in operations/s/W/cm^3. Thus, to reach exascale computation, two achievements are required: 1) improved understanding of computation in biological tissue, and 2) a paradigm shift towards neuromorphic computing where hardware circuits mimic properties of neural tissue. To address 1), we will interrogate corticostriatal networks in mouse brain tissue slices, specifically with regard to their frequency filtering capabilities as a function of input stimulus. To address 2), we will instantiate biological computing characteristics such as multi-bit storage into hardware devices with future computational and memory applications. Resistive memory devices will be modeled, designed, and fabricated in the MESA facility in consultation with our internal and external collaborators.

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TYPE SAND Report YEAR 2013
OSTIDOI

Tunable young's modulus in carbon MEMS using graphene-based stiffeners

ECS Transactions

Washburn, C.M.; Lambert, Timothy N.; Blecke, Jill B.; Davis, D.; Finnegan, Patrick S.; Hance, Bradley G.; Wheeler, D.R.; Beechem, T.E.; Alam, T.M.; Brumbach, M.T.; Strong, J.M.

Carbon composite micro-electromechanical systems (C-MEMS) incorporating 2 wt.% graphene stiffeners show a 65% increase in Young's modulus and 11% increase in conductivity. An improved reduced graphene oxide (iRGO), is blended into pyrolytic carbon beams prepared for resonant frequency testing. Designed around a 10:1 (length: width) aspect ratio, the linearity of wt.% iRGO in the cantilevers as a function of resonant frequencies is evaluated. The collection of the 1st through 3rd bending modes using laser doppler velocimetery (LDV) of the graphene filled cantilevers shows an increase in frequency response with nanomaterial loading (wt.%). A model was developed using the 3-bending modes and correlated with cross sectional geometry and density to extract a Young's modulus. © 2012 The Electrochemical Society.

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TYPE Conference YEAR 2013
ScopusOSTI
Results 51–69 of 69
Results 51–69 of 69