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Titlebook: Computational Approaches for Chemistry Under Extreme Conditions; Nir Goldman Book 2019 Springer Nature Switzerland AG 2019 Chemical Reacti

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Tension Force Monitoring of Main Cablemework. As a demonstration, a quantum-derived, particle-based coarse-grain model of an energetic material is used to provide part of the constitutive response in a finite element multiphysics simulation. Bottom-up coarse-grain models of hexahydro-1,3,5-trinitro-.-triazine (RDX) and the methods used
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Computational Discovery of New High-Nitrogen Energetic Materials,d more powerful energetic materials. High-N content translates into much higher heat of formation resulting in much larger energy output, detonation pressure, and velocity upon conversion to large amounts of non-toxic, strongly bonded . gas. This chapter describes recent advances in the computationa
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Force Matching Approaches to Extend Density Functional Theory to Large Time and Length Scales,or materials under reactive conditions. Our methodologies overcome the extreme computational cost of standard Kohn–Sham Density Functional Theory (DFT) by mapping DFT computed simulation data onto functional forms with linear dependence on their parameters. This allows for quick parameterization of
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Application of ReaxFF-Reactive Molecular Dynamics and Continuum Methods in High-Temperature/Pressureling of combustion processes at high-pressure operating condition is required to determine the reaction rates based on which chemical kinetic models are developed. The current need is to focus on the transfer from low pressure to high-pressure conditions as this can have a significant effect on the
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