Researchers discover latitude- and regolith-dependent distribution of lunar surface water
Peer-Reviewed Publication
Institute of Atmospheric Physics, Chinese Academy of Sciences
Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS
Chinese Academy of Sciences Headquarters
Institute of Atmospheric Physics, Chinese Academy of Sciences
Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS
Dalian Institute of Chemical Physics, Chinese Academy Sciences
Institute of Atmospheric Physics, Chinese Academy of Sciences
Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS
Chinese Academy of Sciences Headquarters
Dalian Institute of Chemical Physics, Chinese Academy Sciences
Dalian Institute of Chemical Physics, Chinese Academy Sciences
Chinese Academy of Sciences Headquarters
Chinese Academy of Sciences Headquarters
Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS
Institute of Atmospheric Physics, Chinese Academy of Sciences
Updates every hour. Last Updated: 9-Nov-2025 17:11 ET (9-Nov-2025 22:11 GMT/UTC)
Updates every hour. Last Updated: 9-Nov-2025 17:11 ET (9-Nov-2025 22:11 GMT/UTC)
UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear materials. They realized arbitrary sets of bandlimited nonlinear functions, including multi-variate and optically-cascadable complex-valued functions, as well as some of the activation functions used in neural networks. Researchers further demonstrated, through optical simulations, the parallel computation of one million distinct nonlinear functions, executed at wavelength-scale output density. An experimental validation was also demonstrated by executing tens of distinct nonlinear functions simultaneously.