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models and reinforcement learning models for 3D graphs of materials to explore vast inorganic chemical spaces and design synthesizable energy materials. You will couple such models with physics simulation
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that will have impact on world level challenges, this PhD position is for you! The project is supervised by Alberto Santos Delgado at the Technical University of Denmark part (DTU) and co-supervised by Prof
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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
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