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containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling
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-structures within robust polymer matrices without compromising their physical integrity. Responsibilities Lead cutting-edge research in polymer rheology and processing science, directly aligning with KAUST’s
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