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Generative AI applications continue to expand, optimizing computational efficiency is becoming increasingly critical, particularly for AI in resource-constrained environments or at the edge. To address
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‑stationary atmospheric conditions involving shear, veer, yaw misalignment, and wake interactions. High‑fidelity CFD methods (RANS/LES) can capture these effects but are too computationally expensive
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lower-cost offshore power architectures. The project will produce efficient, practical SWIPT systems with novel metamaterial devices, enhanced adaptability, and validated performance. Results will lead to
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