MeshGraphNet
PulseAugur coverage of MeshGraphNet — every cluster mentioning MeshGraphNet across labs, papers, and developer communities, ranked by signal.
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Deep learning reconstructs plasma kinetic data from macroscopic measurements
Researchers have developed a deep learning framework to reconstruct detailed kinetic information about low-temperature plasmas from macroscopic measurements. By training neural networks like U-Net, Fourier Neural Operat…
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New Physics-Guided Diffusion Model Enhances TCAD Device Simulation
Researchers have developed PCGD, a novel Physics-Guided Conditional Graph Diffusion framework designed for TCAD device simulation. This method operates directly on unstructured TCAD meshes to predict coupled electrostat…
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New framework enhances AI simulations with spatial, temporal awareness
Researchers have developed a new framework to enhance machine learning models used for physics simulations, specifically addressing limitations in current training paradigms. Their approach introduces multi-node predict…