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metrics with simulated quantities. Bridge theory and experiment as part of an interdisciplinary center with access to systematic data from high-throughput experimentation to refine and validate your models
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crucial role in the modelling, design, and optimization of various systems in product and process engineering. Despite significant progress made over the decades, existing thermodynamic models and theories
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, international group of 13 researchers from 8 countries, with expertise across energy systems and markets, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the
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, mathematical optimization, laser physics, integrated photonics, condensed matter physics, and spectroscopy. If you are passionate about advancing nanophotonics through cutting-edge research, we warmly encourage
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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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chance to connect and work with leading researchers in the Copenhagen region and abroad. Responsibilities and qualifications The focus of the PhD project is on advancing the theory and practice of secure
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over the decades, existing thermodynamic models and theories still face significant challenges, particularly when dealing water and electrolyte solutions. To harness these challenges as opportunities
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funded by the Novo Nordisk Foundation and led by Assoc. Prof. Janus Juul Eriksen @ DTU Chemistry – revolves around the development of new decompositions of molecular properties into local contributions