A review of physics-informed and data-driven approaches for manufacturing process optimization in polymer matrix composites
<p>Machine learning approaches that integrate physical laws with data-driven models are transforming process optimization and quality assurance in polymer matrix composite manufacturing. This review synthesizes recent developments in neural metamodels for injection molding, spatio-temporal dig...
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2025
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