Single layer PbI2: hydrogenation-driven reconstructions
نویسندگان
چکیده
منابع مشابه
pH-driven physicochemical conformational changes of single-layer graphene oxide.
Single-layer graphene oxides (SLGOs) undergo morphological changes depending on the pH of the system and may account for restricted chemical reactivity. Herein, SLGO may also capture nanoparticles through layering and enveloping when the pH is changed, demonstrating potential usefulness in drug delivery or waste material capture.
متن کاملStrain-driven transitions between surface reconstructions
Strain can greatly modify the state of a crystal surface, and cause reconstruction and deconstruction phase transitions even at constant temperature. We carried out test calculations of surface free energy differences that illustrate the phenomenon, and parallel simulations that demonstrate directly how the prototype reconstruction of Au(111) should change under bending-induced strain. That sho...
متن کاملHydrogenation of single-walled carbon nanotubes.
Towards the development of a useful mechanism for hydrogen storage, we have studied the hydrogenation of single-walled carbon nanotubes with atomic hydrogen using core-level photoelectron spectroscopy and x-ray absorption spectroscopy. We find that atomic hydrogen creates C-H bonds with the carbon atoms in the nanotube walls, and such C-H bonds can be completely broken by heating to 600 degrees...
متن کاملSurface reconstructions of TiO2(110) driven by suboxides.
Scanning tunneling microscopy and density functional theory are used to develop a new structural model for surface reconstructions driven by Ti interstitials on TiO2(110). Ti interstitials form the edge- or face-sharing octahedra that serve as building blocks for (1 x 1) reconstruction. Thus, contrary to conventional wisdom, the 1 x 1 periodicity is insufficient to establish the correct surface...
متن کاملSingle-Layer CNN Simulator
An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The simulator is capable of performing Single-Layer CNN simulations for any size of input image, thus a powerful tool for researchers investigating potential applications of CNN. This paper reports an efficient algorithm exploiting the latency properties of Cellular Neural Networks along with numeri...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: RSC Advances
سال: 2016
ISSN: 2046-2069
DOI: 10.1039/c6ra15020a