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Description Molecular modeling (i.e., Monte Carlo and molecular dynamics methods) are becoming computationally-accessible for large-scale simulations of various thermophysical and mechanical properties
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measure their mechanical, adhesive and frictional properties. By combining these data with classical molecular dynamics simulations and a molecular-scale approach to the thermodynamics of molecular
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of molecular biology techniques (PCR, metagenomics, biomarkers, and biosensors) has resulted in an explosion of new methods and strategies to generate quantitative insight into microbial community dynamics
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strategies, co-infection dynamics, molecular pathways, or epidemiology of diseases. An interim evaluation will take place within the Cluster of Excellence framework after three years.
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/Alcohol Mixtures: Using Molecular Simulation to Probe Energetics, Structure and Dynamics. Kevin R. Hinkle and Frederick R. Phelan Jr., Journal of Physical Chemistry C, 121 (41), pp. 22926–22938, (2017
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and other complex fluids using molecular simulations. In order to make these simulations more computationally feasible, development of coarse-grained models and new Monte Carlo or molecular dynamics
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macromolecular dynamics with machine learning, statistical mechanics, molecular simulations, and experimental data. The joint project “FAIME – Flexible and Efficient AI-driven Molecular Simulation Engine” is part
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responsible for the observed properties. The results obtained are then used to develop models that can be used to simulate systems with up to hundreds of thousands of atoms. Monte Carlo and molecular dynamics
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to apply for a faculty or staff position, please review this tip sheet . Position Summary The Neuroscience Institute seeks a dynamic faculty member at the Assistant, Associate, or Professor rank to advance
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processes over such an extended time range is a formidable task for conventional molecular dynamics. We have developed a mathematical technique for simulation of phonon transport in nanomaterials based