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algorithmic techniques, based on thermal Loop–Tree Duality, to enable large-scale multiloop computations at nonzero temperature and chemical potential. The project aims to overcome long-standing challenges in
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truck system design optimization methodology development through learning algorithms and statistical use of synthetic data and real operational data from vehicle performance and operations, operating
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