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how nanoparticles prefer to attach to each other. The machine-learning models will be validated against detailed atomistic simulations and compared with experimental results on self-assembly. Ultimately
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. The successful applicant will develop a predictive pipeline using atomistic modeling and machine learning to identify optimal "seeds" for directing crystal growth, followed by rigorous experimental testing
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remain poorly understood. Their structural heterogeneity and chemical complexity make accurate atomistic modeling particularly challenging. Recent advances in machine learning approaches provide a powerful
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mechanisms governing their catalytic activity remain poorly understood. Their structural heterogeneity and chemical complexity make accurate atomistic modeling particularly challenging.[1] Recent advances in
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systems (LIED, Université Paris Cité), experts in classical atomistic simulations (molecular dynamics and coarse-graining, LMCE, CEA/DAM/DIF), as well as specialists in continuum simulations (finite element
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substrate effects using a combination of TB-SMA and Tersoff potentials. Perform atomistic simulations (molecular dynamics and Monte Carlo) to generate diverse and realistic structural configurations
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Basse Normandie. PHD title: Doctorat de Physique PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/137565 Requirements Specific Requirements Applicant
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
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. The objective of this PhD project is to use high pressure to obtain new polymorphic forms of poorly soluble APIs, combining experimental investigations and atomistic simulations. Two experimental approaches will
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atomistic tight-binding and multi-bands k.p models for the electronic structure of the materials. Using TB_Sim, CEA has made significant progress in the understanding of various aspects of the physics of spin