The phrase "a simulator of such" is correct and usable in written English.
It can be used when referring to a simulator that replicates or mimics a specific type of system, process, or phenomenon previously mentioned.
Example: "The research team developed a simulator of such complexity that it could accurately predict the outcomes of various scenarios."
Alternatives: "a simulator of this kind" or "a simulator of that nature".
However, they still have all the benefits of a simulator, such as easier to use, repeatable, and speed.
The Postura MotergoTM which was developed by researchers at the Motorcycle Engineering Technology Lab (METAL) is an example of such simulators.
The idea is to estimate all parameters of the sub-models of a growth simulator simultaneously in such a way that, when simulation begins from the diameter distribution at the first measurement occasion, it yields a similar ending diameter distribution as measured in the second measurement occasion.
The proposed method can be integrated into various parts of a drilling simulator such as hydraulic design, wellbore stability and well control.
A dynamic process simulator such as JACOBIAN® allows the simulation and study of such a system.
A compositional reservoir simulator with such an equation of state will increase its predictability and hence help with the design of surfactant formulation.
The Postura MotergoTM which was developed by the Motorcycle Engineering Technology Lab (METAL) of the Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM) is an example of such motorcycle test rigs/simulators.
This paper details the development of such a simulator by describing the models for thermal-hydraulic systems in the NPCTF as well as the corresponding NPP processes.
Here we report the creation and validation of such a simulator and the dual application of pressure (120/60 mmHg) and low shear stress (5 dyn/cm2) to a monolayer of EC established on a non-compliant silicone tube.
The benefits of such a simulator are the possibility to study the effects of various simulated management scenarios of crop spatial-temporal availability in relation to target organisms and/or specific ecological processes (e.g. pest, biological control), within a single model framework.
