PINN-AFE uses multi-head attention and input convex networks to solve Monge-Ampère equations with claimed accuracy, efficiency, and extensions to image enhancement and medical registration.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
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HSE06 calculations of Cu defects in silicon propose a Cu_i4V complex to resolve discrepancies in the Cu_PL defect's transition levels and formation mechanism.
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Physics-Informed Neural Networks with Attention Feature Expansion for Monge-Amp\`ere Equations
PINN-AFE uses multi-head attention and input convex networks to solve Monge-Ampère equations with claimed accuracy, efficiency, and extensions to image enhancement and medical registration.
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Hybrid functional calculation of electrical activity and complexing mechanism of Cu-related defects
HSE06 calculations of Cu defects in silicon propose a Cu_i4V complex to resolve discrepancies in the Cu_PL defect's transition levels and formation mechanism.