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The simulation is composed of the network environment simulated using the network simulator, the control system component simulation using Matlab or C/C++, and an external application programming interface.
The simulation is composed of two phases: RSSI collection phase which includes 50 cycles, and each cycle is 2 s.
The superconducting setup that we are considering for this quantum simulation is composed of N transmon qubits coupled to a single resonator.
Every simulation is composed of 1000 runs (i.e., 1000 bundles are either successfully received or dropped due to excess delay) and is started at a random time on the first day of traced period.
Each protein in a MD simulation is composed of a number of residues spatially located in the 3D space that move over time.
The simulation is composed of three steps: the first consists in cells dying or replicating at every generation (weeks between each of them); each replication or cell death decision is taken based on extracellular concentration of species and intracellular ATP production rate.
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This simulation model is composed by: Equation regulating the fluid dynamics.
The simulation model is composed of two systems of differential equations: one for the collector and other for the drying cabinet.
This simulation model is composed by: (a) Equation regulating the fluid dynamics (b) Maps to define the study area (c) Data describing the area and the parameters (d) Initial and boundary conditions. .
A T-micromixer used for the simulation was composed of a 4000 μm long channel with a cross-section of 60 μm wide and 30 μm high.
Each docking simulation was composed of 25 independent runs, for which a maximum number of 27,000 generations were produced, employing the Lamarckian Genetic Algorithm (LGA) on the initial population of 50 individuals, a maximum number of 500,000 energy evaluations, with an elitism value of 1, a mutation rate of 0.02, and a cross-over rate of 0.8.
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