Electronic Supplementary Information ( ESI ) Ambient Rutile VO 2 ( R ) Hollow Hierarchitectures with Rich Grain Boundaries from New-State Nsutite-Type VO 2 , Displaying Enhanced Hydrogen Adsorption Behavior
S1. Shape evolution of the new-state VO 2 hollow spherical nanoarchitectures S2. Compositional characterization of the new-state nsutite-type VO 2 precursor S3. Summary XRD patterns of the nsutite-type VO 2 prepared by different chemical reactions S4. Structural determination of new-state VO 2 S5. Calculation details and phase conversion process from the new-state nsutite-type VO 2 to rutile VO 2 (R) S6. Characterization of the GBR-VO 2 (R) hollow hierarchitectures S7. Gas adsorption experiments of different vanadium oxides
Electronic Supplementary Information
Giuseppe Mattioli, 2, ∗ Marcel Risch, Aldo Amore Bonapasta, Holger Dau, and Leonardo Guidoni 2, † Istituto di Struttura della Materia (ISM) del Consiglio Nazionale delle Ricerche, Via Salaria Km 29.5, CP 10, 00016 Monterotondo Stazione, Italy Dept. of Physics, “Sapienza” Università di Roma, P.le A. Moro 2, 00185 Roma, Italy Dept. of Physics, Freie Universität Berlin, Arnimallee 14, 14195 Berlin, Germany Dipartimento di Chimica, Ingegneria Chimica e Materiali, Università de L’Aquila, Località Campo di Pile, 67100 L’Aquila, Italy
Multi-layer inpainting on Chinese artwork
Digital inpainting uses spatial or frequency information to restore partially damaged/removed photos and artworks. Most restoration algorithms take a picture as a single layer. We propose a new approach, which subdivides a Chinese painting into several layers. Each layer is inpainted separately. The layer fusion mechanism then finds the optimal inpaint among layers, which are restored layer-bylayer. We apply the algorithm on Chinese and western drawing. The result shows a high PSNR value as well as a high user satisfaction. The demonstration of our work is available at: http://www.mine.tku.edu.tw/demos/inpaint.