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Finite-element modeling and simulation framework for design of such systems with experimental benchmarking are described.
Automatic mission software verification, in addition to simulation and experimental benchmarking, is a key component of the solution for establishing performance guarantees.
Experimental benchmarking of the develop framework was undertaken using the only published multiple concentration and incident photon spectra experimental NP radiosensitisation study; the Ph.D. thesis of Rahman, RMIT University (Australia) (Rahman 2010).
Included in this study are analytical, simulation-based, and experimental benchmarking approaches to consider five use cases for ERI sorting, i.e. SIMD processing, reconfigurable computing, limited address spaces, instruction cache exploitation, and data cache exploitation.
The user decision-making in this blind modelling and experimental benchmarking programme provides an illustration of one of the many aspects of the significant subjectivity that is likely to occur in everyday performance-based fire safety engineering (PBFSE).
Therefore, for experimental benchmarking, we have chosen to compare our results to the ligand analog GlcN.
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Benchmark analyses are being performed for both computational benchmarks and experimental benchmarks.
The experimental results can also serve as experimental benchmarks to compare competing designs.
In the future, a quantitative experimental benchmark of the proposed algorithm and its inspection procedure needs to be conducted.
Several triplet tests and shove tests have been used as experimental benchmark for the numerical simulations.
These codes must be validated and calibrated against experimental benchmark data with their evolution and improvements.
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