Enhancement of pore size distribution in one-step hybrid pulse anodization of aluminum thin films sputtered on Si substrates

2013 ◽  
Vol 544 ◽  
pp. 374-379 ◽  
Author(s):  
C.K. Chung ◽  
M.W. Liao ◽  
O.K. Khor ◽  
H.C. Chang
Keyword(s):  
Thin Films ◽  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Si Substrates ◽  
One Step

scholarly journals Fabrication and Characterization of Manganese Ferrite Nanospheres as a Magnetic Adsorbent of Chromium

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Li-Xia Yang ◽  
Feng Wang ◽  
Yan-Feng Meng ◽  
Qing-Hua Tang ◽  
Zi-Qi Liu
Keyword(s):  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
High Yield ◽  
Manganese Ferrite ◽  
X Ray Diffraction ◽  
Ferrite Particle ◽  
Transmission Electron ◽  
One Step

Manganese ferrite nanospheres constructed by nanoparticles were synthesized in high yield via a general, one-step, and template-free solvothermal method. The product was characterized by X-ray diffraction (XRD), scanning electron microscope (SEM), and transmission electron microscopy (TEM). BJH pore-size distribution shows that the sphere-like manganese ferrite particle was a porous structure with a narrow pore-size distribution. The investigation of magnetic property of manganese ferrite nanospheres reveals that the saturation magnetization is high, which showes an excellent ability for magnetic removal of chromium in wastewater.

Properties of nanoporous organosilicate hybrid thin films with a bimodal pore size distribution

2005 ◽  
Vol 54 (5) ◽  
pp. 772-779 ◽  
Author(s):  
J Hyeon-Lee ◽  
J Rhee ◽  
JH Yim ◽  
HD Jeong ◽  
DW Gidley
Keyword(s):  
Thin Films ◽  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Bimodal Pore Size Distribution ◽  
Hybrid Thin Films

scholarly journals Porogen Effect of Solvents on Pore Size Distribution of Solvent-Casted Polycaprolactone Thin Films

2018 ◽  
Vol 1 (4) ◽  
Author(s):  
Fariba Safaei ◽  
Shahla Khalili ◽  
Saied Nouri Khorasani ◽  
Laleh Ghasemi-Mobarakeh ◽  
Rasoul Esmaeely Neisiany
Keyword(s):  
Thin Films ◽  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Methylene Chloride ◽  
Size Distributions ◽  
Solvent Casting ◽  
Casting Method ◽  
Effect Of Solvents ◽  
Pore Size Distributions

In this study, the effect of porogenic solvents on pore size distribution of the polycaprolactone (PCL) thin films was investigated. Five thin PCL films were prepared using the solvent-casting method. Chloroform, Methylene Chloride (MC) and three different compositions of MC/ Dimethylformamide (DMF) (80/20, 50/50 and 20/80) were used as solvents. Scanning Electron Microscopy (SEM) investigations were employed to study morphology and consequently the pore size distribution of the prepared films. The PCL films made by chloroform and MC as a solvent were completely non-porous. Whereas the other films (made by a combination of MC and DMF) showed both uni-modal and bi-modal pore size distributions.

scholarly journals Determination of pore-size distribution in low-dielectric thin films

2000 ◽  
Vol 76 (10) ◽  
pp. 1282-1284 ◽  
Author(s):  
D. W. Gidley ◽  
W. E. Frieze ◽  
T. L. Dull ◽  
J. Sun ◽  
A. F. Yee ◽  
...  
Keyword(s):  
Thin Films ◽  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Dielectric Thin Films ◽  
Low Dielectric

Mesostructured alumina as powders and thin films

2014 ◽  
Vol 2 (25) ◽  
pp. 9727-9735 ◽  
Author(s):  
Georg J. B. Voss ◽  
Elvia A. Chavez Panduro ◽  
Anette Midttveit ◽  
Jostein B. Fløystad ◽  
Kristin Høydalsvik ◽  
...  
Keyword(s):  
Thin Films ◽  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Narrow Pore Size Distribution

Synthesis and characterisation of tailored mesostructured alumina as thin films and powders with a narrow pore size distribution.

pyGAPS: A Python-Based Framework for Adsorption Isotherm Processing and Material Characterisation

2019 ◽  
Author(s):  
Paul Iacomi ◽  
Philip L. Llewellyn
Keyword(s):  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Surface Area ◽  
Isosteric Heat ◽  
Material Characterisation ◽  
Mixture Adsorption ◽  
Surface Energetics ◽  
Adsorption Processing ◽  
User Friendly

Material characterisation through adsorption is a widely-used laboratory technique. The isotherms obtained through volumetric or gravimetric experiments impart insight through their features but can also be analysed to determine material characteristics such as specific surface area, pore size distribution, surface energetics, or used for predicting mixture adsorption. The pyGAPS (python General Adsorption Processing Suite) framework was developed to address the need for high-throughput processing of such adsorption data, independent of the origin, while also being capable of presenting individual results in a user-friendly manner. It contains many common characterisation methods such as: BET and Langmuir surface area, t and α plots, pore size distribution calculations (BJH, Dollimore-Heal, Horvath-Kawazoe, DFT/NLDFT kernel fitting), isosteric heat calculations, IAST calculations, isotherm modelling and more, as well as the ability to import and store data from Excel, CSV, JSON and sqlite databases. In this work, a description of the capabilities of pyGAPS is presented. The code is then be used in two case studies: a routine characterisation of a UiO-66(Zr) sample and in the processing of an adsorption dataset of a commercial carbon (Takeda 5A) for applications in gas separation.

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