Understanding what happens inside a material when it is hit by ultrashort light pulses is one of the great challenges of matter physics and modern photonics. A new study published in Nature Photonics and led by Politecnico di Milano reveals a hitherto neglected but essential aspect, precisely the contribution of virtual charges, charge carriers that exist only during interaction with light, but which profoundly influence the material’s response.

Researchers from The Hong Kong University of Science and Technology and the Southern University of Science and Technology have developed a novel deep learning neural network, Electrode Net. By introducing signed distance fields and three-dimensional convolutional neural networks, this method can significantly accelerate electrode design while maintaining high accuracy. It is widely applicable to fuel cells, water electrolyzers, flow batteries, etc.

A novel strategy was designed for guiding supramolecular macrocycles into nanoscale chiral topological toroids, establishing hierarchical self-assembly pathways for advanced chiroptical materials

A novel strategy was designed for guiding supramolecular macrocycles into nanoscale chiral topological toroids, establishing hierarchical self-assembly pathways for advanced chiroptical materials