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Understanding the Role of Self-Poisoning in Polymer Crystallisation School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Dr Xiangbing Zeng
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to the viscoelastic behavior of polymeric foams under large deformations dynamic loadings. The objective is to simulate, using the finite element method, the response of these porous microstructures under complex
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on simulating nanoalloy structures to create a database for materials characterization. The main tasks include running molecular dynamics and Monte Carlo simulations to model nanoalloys under various
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behavior (e.g., ignition, burning rate, fire growth). Such predictions require accurate and efficient simulation of the tightly coupled, time-dependent condensed- and gas-phase processes that control
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
organic and/or polymer chemistry and an interest in porous polymer materials. While the position is primarily intended for a Ph.D. student, outstanding postdoctoral applicants with an exceptional fit
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-healing capacities —a new class referred to as self-healing polymers— can enable NextGen surgical phantoms that realistically simulate the biomechanics of their biological counter parts, have integrated
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between the polymer matrix and carbon nanotubes in nanocomposites. In the first phase, a critical review of the literature will be carried out on numerical and experimental methodologies used to investigate
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to increase usage by the community. [1] https://doi.org/10.1039/C9SM01877H [2] https://doi.org/10.1063/1.5123683 [3] https://doi.org/10.6028/jres.123.004 key words Molecular simulation; Monte Carlo
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Associate position at Epwin Window Systems offers a chance to enhance simulation capabilities in uPVC compound blending operations. You will implement Discrete Element Method (DEM) simulations to optimise
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Systems offers a chance to enhance simulation capabilities in uPVC compound blending operations. You will implement Discrete Element Method (DEM) simulations to optimise processes, targeting annual savings