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Using the Landau Brazovskii model, a new numerical implementation is developed to investigate the phase behavior of the diblock copolymer system.
The DBC cycle is modeled in terms of heat and mass balances and components' performance characteristics, and a computational implementation is developed to solve the resulting non-algebraic system of equations.
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The CUDA implementation was developed to speed up the computation of (7) exploiting GPU.
This approach to implementation was developed to enable business to adapt swiftly to constantly changing market conditions.
However, current MapReduce implementations are developed to operate on single cluster environments and cannot be leveraged for large-scale distributed data processing across multiple clusters.
Robust implementation of the Fourier-Galerkin method is developed to efficiently solve the coupled flow, salt and contaminant transport equations.
To lower the implementation cost, a GPU performance model is developed to detect the bottlenecks and provide design direction for the GPU kernel.
A novel methodology using commonly-available geospatial data (land use, well head protection areas) and public accessible data (salt application rates, hydrometric data) to identify salt vulnerable areas (SVAs) for groundwater wells is developed to prioritize implementation of better management practices for road salt applications.
The MIT Kerberos 5 implementation was developed at MIT, with contributions from many outside parties.
An appropriate model reduction is done and in combinaton with a suboptimal linearization approach, an efficient implementation is developed.
The hardware based sensor node implementation is developed in VHDL.
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