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create ground-breaking mathematical tools for data-driven modelling and control of complex processes, which will be efficient in practice and have rigorous theoretical foundations. It is envisioned
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together academic research groups with expertise in experimental catalyst development with theoretical groups skilled in computational and data-driven chemistry in order to develop new catalytic asymmetric
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Physics , Living Systems , Machine Learning , many-body quantum geometry; altermagnetism; cavity quantum science; quantum non-equilibrium processes; Casimir physics , Material Science , Materials Science
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