Desktop Simulation
Desktop Simulation - Related Videos
12:39
Computational Fluid Dynamics Simulations of Blood Flow in a Cerebral Aneurysm
0 Views •
2023
Source: Joseph C. Muskat, Vitaliy L. Rayz, and Craig J. Goergen, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana The objective of this video is to describe recent advancements of computational fluid dynamic (CFD) simulations based on patient- or animal-specific vasculature. Here, subject-based vessel segmentations were created, and, using a combination of open-source and commercial tools, a high-resolution numerical solution was determined within a flow model.
11:29
Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
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Cited by 15 •
2014
A new computational system featuring GPU-accelerated molecular dynamics simulation and 3D/VR visualization, analysis and manipulation of nanostructures has been implemented, representing a novel approach to advance materials research and promote innovative investigation and alternative methods to learn about material structures with dimensions invisible to the human eye.
09:46
MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
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Cited by 48 •
2012
An efficient way to gain insight into how humans navigate themselves in three dimensions is described. The method takes advantage of a motion simulator capable of moving observers in ways unattainable by traditional simulators. Results confirm that movement in the horizontal plane is underestimated, while vertical movement is overestimated.
08:45
Study of Siphon Breaker Experiment and Simulation for a Research Reactor
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Cited by 2 •
2017
The siphon breaking phenomenon was investigated experimentally and a theoretical model was proposed. A simulation program based on the theoretical model was developed and the results of the simulation program were compared with experimental results. It was concluded that the results of the simulation program matched the experimental results well.
13:44
Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
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Cited by 6 •
2012
This protocol outlines the simulation, fabrication and characterization of THz metamaterial absorbers. Such absorbers, when coupled with an appropriate sensor, have applications in THz imaging and spectroscopy.
FAQs
Desktop simulation produces behavioral outcomes by combining mathematical rules, programmed agents, and adjustable conditions. The rules specify how modeled participants or system elements respond, while agents represent the entities whose actions are examined. Changing one condition at a time or comparing several configured scenarios allows researchers to connect altered assumptions with differences in choices, interactions, or other measured outcomes.
Repeated scenarios are important because a single run cannot show how consistently a behavioral pattern appears across conditions. By rerunning the model with alternative settings, researchers can compare responses systematically and identify whether an observed change follows from the condition being examined. This supports hypothesis testing and helps distinguish a model pattern from an outcome tied to one configuration.
Unlike direct manipulation of a real situation, this approach lets researchers examine decision processes without changing the situation itself. That separation is useful when a setting is costly or complex to test directly. It also permits theory development through explicit behavioral rules and model refinement before a related hypothesis is examined in laboratory or field research.
An investigation typically begins by specifying the behavioral process or system to be represented, then encoding relevant mathematical rules and programmed agents. Researchers set adjustable conditions, run scenarios, and measure changes in actions or outcomes. They can then compare the results, revise the behavioral model, and use the refined version to guide later laboratory or field testing.
Researchers can apply desktop simulation to individual choice, social interaction, learning, and responses to changing environments. The same framework supports comparisons among alternative conditions, making it useful for questions involving complex or costly situations. Its value lies in showing how specified behavioral assumptions produce different outcomes across modeled situations.
In behavioral research, simulation outcomes are interpreted as consequences of the programmed assumptions rather than as direct observations of people in the world. Measures of actions or outcomes therefore help evaluate and refine a behavioral model. Researchers can use those results to develop theories and decide which patterns or conditions warrant further examination in laboratory or field settings.