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Field
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will investigate, by means of molecular simulations, the nanofluidics of soft/functionalized nanoporous systems The activities will be performed in the context of the SoftNanoPores 2022 PRIN project
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machine learning, molecular simulations, statistical physics, multiscale modeling, and uncertainty quantification. In particular, openings are available in connection with the following projects
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(energetics), but also differences in dynamic behavior of liquids at the contact line. Molecular dynamics simulations enable us to disentangle such effects and will allow to rationalize behavior observed in
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drag reduction in graphene with a combination of electronic structure methods and large-scale atomistic molecular dynamics (MD) powered by machine learning and high-performance computing (HPC). The first
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for the creation of 3D products, as it allows us to overcome the main limitations of current additive technologies. This research is aimed at the development of numerical models based on molecular dynamics approach
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molecular dynamics simulations of its oxidation. The method will then be applied to new systems, therefore less known, with a view to predicting their behavior under oxidation
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Department: Botany and Plant Pathology | College of Agricultural Sciences Location: Corvallis, OR Appointment: 100% Basis: 12-months Start date: April 1, 2024 Notes on start date: Tentatively End date: March 31, 2025 Full announcement: postdoctoralscholar2024.pdf
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Molecular Modelling and Simulation for Solid Adsorbents for Industrial Carbon Capture Department of Chemical & Biological Engineering PhD Research Project Self Funded Prof Meihong Wang Application
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RAP opportunity at National Institute of Standards and Technology NIST Development of New Computational Methodologies for Molecular Simulation of Soft Materials Location Material Measurement
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with LAMMPS and/or OpenMM, (4) have experience in developing or applying coarse-grained models, polymer models, and/or in developing and applying Molecular Dynamics and/or Monte Carlo simulations