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GTI uses a variety of probabilistic methods to analyze system interactions—including Fault Tree, Event Tree, and Bayesian Network Analysis, plus Neural Networks and other appropriate techniques—to develop predictive models that describe the behavior of systems with complex interactions. Software tools used to conduct these analyses in house include Isograph, MATLAB, Mathematica and Statistica. The underlying event probabilities for these models can be estimated using historic data analysis, Subject Matter Expertise, research data developed using Design of Experiment (DoE) methods, and multi-physics simulation using the broad suite of Finite Element Method (FEM) software available at GTI.  These platforms, including COMSOL, Fluent and Cosmos/M, enable the simulation of stress, heat transfer, fluid dynamics, micro-fluidics, porous flow, chemical kinetics, electromagnetics, acoustics, geo-mechanics, seismic and many other physical phenomena. Detailed material science, chemical and physics knowledge are used to develop the appropriate constitutive models that enable accurate simulation. Accurate simulation models can be parametrically generated in a form suited for comprehensive sensitivity analyses using the SolidWorks suite of design software that GTI has in house. GTI has extensive laboratories, databases, and data visualization capabilities that are useful in calibrating constitutive models, validating simulation results, and analyzing and viewing data in the correct context. Data visualization and interpretation tools developed by GTI are implemented in Visual Studio .NET and ArcGIS using SQL Server data repositories.