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are physics-informed neural networks (PINNs), which integrate physical laws with machine learning to provide accurate, real-time predictions of coastal processes. The digital twin will bring together different
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PhD studentship: Advancing Net-Zero Manufacturing: Physics-Informed Digital Twin for Real-Time Fault Diagnosis and Prognosis in Complex Mechatronic Systems Award Summary 100% fees covered, and a
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PhD Studentships - Process Industries: Net Zero - Decarbonisation of thermal separation processes for removing water and organic solvents from high-performance ingredients Award Summary 100% fees
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PhD Studentships – Process Industries: Net Zero - Biorenewable antioxidants production for enhanced sustainability of polymeric materials Award Summary 100% fees (UK Home and International) a