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energy density matter , High Energy Experimental , High Energy Physics , high energy physics or mathematical physics , High Energy Theory , High Energy Theory Group , High Performance Computing
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mechanisms in porous liquids. Density Functional Theory (DFT) calculations will allow analysis of specific interactions between gas molecules and POSS cages. **Scientific Environment** The PhD will be carried
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chemistry such as molecular dynamics, density-functional theory and multi-scale modelling. You will work under the supervision of Dr Xiuwen Zhou and Dr Joshua Carroll in the School of Chemistry and Physics
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energy density matter , High Energy Experimental , High Energy Physics , high energy physics or mathematical physics , High Energy Theory , High Energy Theory Group , High Performance Computing
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simulation techniques, including density functional theory (DFT), molecular dynamics, Monte Carlo methods, and free‑energy perturbation calculations. Develop and implement novel computational methodologies and
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will involve both computational predictions and experimental validation. The project will combine density functional theory calculations with machine learning and molecular dynamics simulations
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focus of their work is the role of protein dynamics and quantum mechanics during enzyme catalysis. Much of the work involves computational chemistry, often combing molecular dynamics (MD) simulations with
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computational project where you will use a variety of methodologies to produce hierarchal 3D lattice structures, e.g. first principles calculations (density functional perturbation theory), molecular dynamics
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. To do so, you will combine atomistic simulations (density functional theory and ab-initio molecular dynamics simulations) with new machine learning models to parameterize machine learning force fields
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programming and scientific computing Prior experience or coursework in density functional theory, molecular dynamics, or machine learning is advantageous Effective communication skills in English Interest in