Ultraprecision structural colors via mixture probability sampling network
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Jun-2026 15:15 ET (21-Jun-2026 19:15 GMT/UTC)
Structural color design faces the challenge of non-unique mappings between color and nanostructure. Researchers developed a Mixture Probability Sampling Network (MPSN) that outputs multiple structural solutions via Gaussian mixture sampling. MPSN achieves 99.9% precision, enabling high-resolution, wide-gamut structural colors for displays and imaging without traditional pigments.
Recently, a collaborative team from Shanghai Jiao Tong University, led by Guoqiang Yang, Wanbin Zhang, and Jianming Zhang, reported an asymmetric bimetallic synergistic CuAPS (copper-catalyzed propargyl substitution reaction) strategy. By activating the propargyl electrophile and the α-cyano ester nucleophile respectively using a chiral Cu(I)–BOX complex catalyst, and through a transient binuclear catalytic mechanism, they achieved the tandem cyclization of asymmetric propargyl substitution and the Pinner reaction to construct chiral cyclic imine esters. The article was published as an open access Research Article in CCS Chemistry, the flagship journal of the Chinese Chemical Society.
A review article by Prof. Fengcheng Wu and Prof. Allan H. MacDonald highlights the emerging field of semiconductor moiré superlattices, where diverse strongly correlated and topological quantum phases have been observed.