聚二甲基硅氧烷
材料科学
制作
PDMS印章
范德瓦尔斯力
模板
堆积
纳米技术
胶粘剂
纳米光刻
流体学
微加工
曲率
聚合物
平版印刷术
表面光洁度
表面粗糙度
固化(化学)
传热
光刻
热传递
复合材料
铸造
热的
纳米线
微流控
纳米压印光刻
转印
光电子学
作者
Zhili Lin,Luosha Han,Jinkun He,Xiaoxue Fan,Tongyao Zhang,Xiaoxi Li,Baojuan Dong,Kai Zhao
摘要
Robotic stacking of van der Waals heterostructures has been at the verge, thanks to the convergence between artificial intelligence (AI) and two-dimensional (2D) materials research. Key ingredients to fulfill this pursuit often include algorithms to identify layer compounds on chips, hardwares to realize sophisticated operations of motion and/or rotation in a microscale, and, as importantly, highly standardized and uniform transfer stamps that are often used in picking up layered materials under a microscope. Here, we report a hot-cast-droplet batch fabrication method for polydimethylsiloxane (PDMS) templates tailored for dry transfer of 2D materials. Controlled precursor formulation, degassing, and motorized-syringe dispensing produce dome-shaped PDMS templates with ultra-smooth surfaces (root mean square roughness ∼0.3 nm at relatively low curing temperatures). By tuning the curing temperature, the reproducible and controllable apex curvature allows precisely defined contact area between the organic adhesive film and the substrate, via thermal expansion. Our results further reveal thermomechanical behaviors with different casting parameters of such PDMS domes. The capability of achieving defect-free van der Waals interfaces is further demonstrated by the fabrication of a high-quality BN/graphene/BN stack via dry transfer using the as-prepared PDMS templates. This scalable and parameterized fabrication protocol gives rise to uniform transfer stamps with ultra-smooth surface, which may be beneficial for future AI-driven robotic assembly of 2D material heterostructures.
科研通智能强力驱动
Strongly Powered by AbleSci AI