Design of 3D Graphene-Oxide Spheres and Their Derived Hierarchical Porous Structures for High Performance Supercapacitors.
Sign Up to like & getrecommendations! Published in 2017 at "Small"
DOI: 10.1002/smll.201702474
Abstract: Graphene-oxide (GO) based porous structures are highly desirable for supercapacitors, as the charge storage and transfer can be enhanced by advancement in the synthesis. An effective route is presented of, first, synthesis of three-dimensional (3D)… read more here.
Keywords: graphene oxide; hierarchical porous; porous structures; oxide spheres ... See more keywords
Machine-learning design of graphene nanoribbon waveguide side-coupled absorber
Sign Up to like & getrecommendations! Published in 2023 at "Modern Physics Letters B"
DOI: 10.1142/s0217984923500653
Abstract: Machine learning is emerging as a new approach that provides more options for solving complex problems involving electromagnetic phenomena. This paper evaluates the application of machine learning to the design of graphene-based absorbers, which is… read more here.
Keywords: machine; machine learning; learning design; design graphene ... See more keywords
Lightweight Machine-Learning Model for Efficient Design of Graphene-Based Microwave Metasurfaces for Versatile Absorption Performance
Sign Up to like & getrecommendations! Published in 2023 at "Nanomaterials"
DOI: 10.3390/nano13020329
Abstract: Graphene, as a widely used nanomaterial, has shown great flexibility in designing optically transparent microwave metasurfaces with broadband absorption. However, the design of graphene-based microwave metasurfaces relies on cumbersome parameter sweeping as well as the… read more here.
Keywords: graphene; microwave metasurfaces; machine learning; design ... See more keywords