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It will be shown that this code, utilizing the GSTA model, was able to describe a wide variety of gas-solid adsorption systems at equilibrium.

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This code utilizes unstructured meshes to simulate turbulent flow in the presence of complicated geometry.

This code utilizes the message passing interface (MPI) library, overlapping domain decomposition, and dynamic memory allocation techniques.

This code utilizes the OpenSHA event set simulator to generate earthquake ruptures and ground motion predictions, and supplements that code with features to generate spatially gridded locations and to simulate spatially correlated residuals.

This code utilizes a unified scheme for fluid solid boundary to correctly model land and seafloor topography (Takenaka et al. 2009) and employs perfectly matched layer (PML) absorbing boundaries to suppress the artificial reflections from the sides and bottom of the computational domain.

Several parts of the code utilized parameters to fit the needs that we wanted for our application.

A serial MD program was converted into a parallel code utilizing the message passing interface (MPI).

This parallel code utilizes D3 with a message passing interface (MPI) in order to permit efficient implementation on clusters of distributed memory machines and may also simultaneously exploit threading for multiprocessing shared address space architectures.

The Monte Carlo code utilized in this study is based on the MCML approach to stochastically simulate photon propagation within a turbid medium [ 19].

The Monte Carlo (MC) code utilized in this study is a customized version of the MCML program [ 27] that is modified to emulate single fiber fluorescence measurements of a homogeneous turbid medium.

The Monte Carlo code utilized in this study is based on the steady state light transport in multi-layered structures (MCML) approach to stochastically simulate photon propagation within a turbid medium [ 35, 38, 39].

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