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Model. Int. J. Hydrog. Energy 2014, 39 (9), 4516–4530. https://doi.org/10.1016/j.ijhydene.2014.01.036. ; [3] Carral, C.; Mele, P. Modeling the Original and Cyclic Compression Behavior of Non-Woven
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for the numerical simulation of high-frequency acoustic and electromagnetic waves is a longstanding open problem in computational mathematics. These waves underpin a plethora of communication and imaging technologies
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energy states.In this project, we aim to incorporate spectral line radiation into particle-in-cell (PIC) simulations of the solar corona. PIC simulations model plasma behaviour on kinetic scales by
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waves along the tunnel. The models will simulate various environmental and damage scenarios, such as thermal loading and local changes in soil properties, and be used for parametric and sensitivity
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, underwater gliders, micro-AUVs, and ship-based sampling), remote sensing products, and high-resolution numerical models. The work will improve understanding of coastal ecosystem variability, support better
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will design a novel, highly coarse-grained model of the nanocarrier and use Brownian dynamics simulations to investigate its assembly and disassembly mechanisms in relation to nutrient loading capacity
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) advanced modelling, simulation and optimisation techniques in a complex uncertain environment for the design of a SAACD. The working approach is based on four successive and iterative phases, making it
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: 10.1038/s41467-023-39181-2 Research area: Computational biophysics, drug delivery, protein design Keywords:Computer simulations, coarse-grained model, molecular dynamics, membrane fusion, fusion protein
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 17 days ago
(electronic health records (EHR), signals, images, text) Medical digital twins and simulation Conceptual and computational models of digital patients or organs Application to personalized medicine, polypharmacy
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how these factors influence performance, safety, and lifetime predictions. Your research will involve constructing probabilistic and statistical models—such as Bayesian inference, stochastic simulation