PINNSur applies PINNs to surface PDEs by neural approximation of normals and operator projection, with an added empirical test for convergence behavior.
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Coherent structures that self-consistently emerge in strong MHD turbulence serve as the dominant sites for localized electric-field intensification and repeated particle acceleration across cosmic plasmas.
citing papers explorer
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PINNsur: Physics-Informed Neural Networks for PDEs on Curved Surfaces
PINNSur applies PINNs to surface PDEs by neural approximation of normals and operator projection, with an added empirical test for convergence behavior.
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Strong MHD Turbulence and Coherent Structures as Drivers of Cosmic Particle Acceleration
Coherent structures that self-consistently emerge in strong MHD turbulence serve as the dominant sites for localized electric-field intensification and repeated particle acceleration across cosmic plasmas.