Machine learning optimizes finite-temperature SP2 expansion coefficients with affine rescaling for GPU-accelerated density matrix calculations without retraining for different conditions.
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Machine-learned, finite temperature Fermi-operator expansions suitable for GPUs and AI-hardware
Machine learning optimizes finite-temperature SP2 expansion coefficients with affine rescaling for GPU-accelerated density matrix calculations without retraining for different conditions.