Three-dimensional
assemblies of graphene have been considered as
promising starting materials for many engineering, energy, and environmental
applications due to its desirable mechanical properties, high specific
area, and superior thermal and electrical transfer ability. However,
little has been done to introduce designed shapes into scalable graphene
assemblies. In this work, we show here a combination of conventional
graphene growing technique–chemical vapor deposition with additive
manufacturing. Such synthesis collaboration enables a hierarchically
constructed porous 3D graphene foam with large surface area (994.2
m2/g), excellent conductivity (2.39 S/cm), reliable mechanical
properties (E = 239.7 kPa), and tunable surface chemistry
that can be used as a strain sensor, catalyst support, and solar steam
generator.
Large-area, uniform laser-induced periodic surface structures (LIPSS) are of wide potential industry applications. The continuity and processing precision of LIPSS are mainly determined by the scanning intervals of adjacent scanning lines. Therefore, continuous modulations of LIPSS and scanned line-widths within one laser scanning pass are of great significance. This study proposes that by varying the laser (800 nm, 50 fs, 1 kHz) polarization direction, LIPSS and the scanned line-widths on a silicon (111) surface can be continuously modulated with high precision. It shows that the scanned line-width reaches the maximum when the polarization direction is perpendicular to the scanning direction. As an application example, the experiments show large-area, uniform LIPSS can be fabricated by controlling the scanning intervals based on the one-pass scanned linewidths. The simulation shows that the initially formed LIPSS structures induce directional surface plasmon polaritons (SPP) scattering along the laser polarization direction, which strengthens the subsequently anisotropic LIPSS fabrication. The simulation results are in good agreement with the experiments, which both support the conclusions of continuous modulations of the LIPSS and scanned line-widths.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.