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Peridynamic-based multiscale frameworks for continuous and discontinuous material response
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Machine learning models for the prediction of pharmaceutical powder properties
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Physics-based and deep learning approaches for the determination of solution thermodynamic parameters
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A novel faulted section location technique for future active distribution networks
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Fluid-structure interaction models on the hydroelastic analysis of containerships in waves
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The decentralization game : leaders' speeches and what characteristics determine their position on decentralization
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A flexible single-step 3D nanolithography approach via local anodic oxidation : theoretical and experimental studies
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Advancements in converter-based frequency stability : recommendations for industrial applications
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Structure activity studies of aminoindole anti-malarial agents to enhance physicochemical properties and safety profile
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Automatic annotation of subsea pipelines using deep learning
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