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Entity
physics-informed graph attention network
technology15 mentionslast seen Nov 11, 2026
A machine-learning surrogate that operates directly on tetrahedral TCAD mesh to predict electrostatic potential and quasi-Fermi levels for drift-diffusion systems.
Relationships 16
- zero-day jamming detectiondepends onphysics-informed graph attention network92% confidence1 source
- physics-informed graph attention networkdepends ontetrahedral mesh92% confidence1 source
- KITEdepends onphysics-informed graph attention network92% confidence1 source
- visibility graphdepends onphysics-informed graph attention network92% confidence1 source
- Graph Attention-based Decentralized Actor-Criticdepends onphysics-informed graph attention network90% confidence1 source
- physics-informed graph attention networkdepends onDirichlet process means clustering90% confidence1 source
- physics-informed graph attention networkdepends ongraph neural network90% confidence1 source
- physics-informed graph attention networkimplementsdrift-diffusion transport90% confidence1 source
- weighted directed pseudo-visibility graphdepends onphysics-informed graph attention network90% confidence1 source
- model-to-data distillationimplementsphysics-informed graph attention network88% confidence1 source
- physics-informed graph attention networkapplies tocollision-free motion planning88% confidence1 source
- physics-informed graph attention networkdepends onattention mechanism87% confidence1 source
- physics-informed graph attention networkimplementsfederated learning85% confidence1 source
- physics-informed graph attention networkapplies todevice design85% confidence1 source
- physics-informed graph attention networkdepends onquantum graph feature82% confidence1 source
- GraphBEATsupersedesphysics-informed graph attention network75% confidence1 source
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