材料科学
收缩率
纳米尺度
纳米光子学
可见光谱
各向同性
折射率
光电子学
高折射率聚合物
纳米技术
光学
光子学
超材料
全息术
纳米颗粒
内爆
特征(语言学)
相(物质)
纳米结构
材料性能
结构着色
制作
作者
Quansan Yang,Gaojie Yang,Takahiro Nambara,Hiroyuki Kusaka,Yuichiro Kunai,Alex Matlock,Corban Swain,Brett Pryor,Yannick Salamin,Daniel Oran,Hasindu Kariyawasam,Ramith Hettiarachchi,Dushan Wadduwage,Marin Soljačić,Peter T. C. So,Edward S. Boyden
出处
期刊:Nature Photonics
[Nature Portfolio]
日期:2026-05-12
卷期号:20 (6): 653-663
被引量:2
标识
DOI:10.1038/s41566-026-01896-1
摘要
Three-dimensional metastructures with nanoscale feature sizes exhibit unique properties compared with structures with larger feature sizes, but are difficult to fabricate. Here we introduce implosion carving (ImpCarv), a method for photopatterning vacancies of complex geometry throughout materials, followed by isotropic shrinkage (>10-fold). ImpCarv works by photoactivating sensitizers to generate reactive oxygen species that cleave a swollen hydrogel at defined points, followed by controlled shrinkage via dehydration. ImpCarv creates three-dimensional metastructures where the refractive index of each point throughout a material can be specified with nanoscale precision via material presence or absence. By leveraging refractive index programmability for precise phase control, we demonstrate an all-optical machine learning device with nanoscale neuron sizes operating at visible wavelengths. ImpCarv may thus support diverse applications in nanophotonics and nanotechnology.
科研通智能强力驱动
Strongly Powered by AbleSci AI