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experiments, mapping charge and energy transfer in molecular (and mesoscopic) systems, behavior of molecules in strong fields, dynamics of open quantum systems, and more. This project offers an excellent
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learning potentials (MLPs). You will develop geometric graph manifold learning methods and utilize those to learn from heterogeneous quantum mechanical datasets. You will implement and benchmark state
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. Technology for people DTU Electro has more than 300 employees with competencies in electrical and photonics engineering. Research is performed within nanophotonics, lasers, quantum photonics, optical sensors
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to advances in geosciences and life sciences, and we develop and exploit quantum physics and quantum technologies. Technology for people DTU develops technology for people. With our international elite research
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, which all candidates are encouraged to study. DTU Electro has more than 300 employees with competencies in electrical and photonics engineering. Research is performed within nanophotonics, lasers, quantum
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models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train these methods in a closed-loop