A dual-graph deep learning network that hard-codes petroleum physics alongside learned statistics cuts oil production prediction error to about 20 percent, far outperforming conventional models.

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Greek researchers publish the first exact closed-form formulas for three- and four-station production lines without buffers, ...

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The rapidly evolving landscape of AI-driven scientific breakthroughs is fundamentally rooted in the cumulative research ...

SiC and GaN thermal management relies on multiscale simulation spanning device-level FEA to system-level electro-thermal ...

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Scope: This assessment compares publicly documented rendezvous, proximity operations and orbital servicing capabilities in ...

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Acoustic metamaterials enhance traditional material properties, providing opportunities to shape sound fields in applications ranging from biomedical imaging and clinical therapy to nondestructive ...