Research Article demonstrates integrating physics knowledge into machine learning for electromagnetic scattering, suggesting improved modeling efficiency.
Physics Knowledge Integration in Machine Learning The front cover artwork depicts a beam of light being reflected by a photonic-crystal slab by exciting a resonance of the electromagnetic field known as a quasinormal mode; while the brain represents the built-in knowledge of the physics. The Research Article e02769 by Philippe Tassin and co-workers demonstrates how such phenomena can be efficiently modelled by using neural networks with built-in knowledge of quasinormal-mode physics.
No takes yet. Share an insight, caveat, or question.
Lilja et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: