Preparation and luminescence property of Sm-doped ZnWO4powders and films with wet chemical methods

2009 ◽  
Vol 246 (1) ◽  
pp. 177-182 ◽  
Author(s):  
H. Y. He
Author(s):  
D. Zudhistira ◽  
V. Viswanathan ◽  
V. Narang ◽  
J.M. Chin ◽  
S. Sharang ◽  
...  

Abstract Deprocessing is an essential step in the physical failure analysis of ICs. Typically, this is accomplished by techniques such as wet chemical methods, RIE, and mechanical manual polishing. Manual polishing suffers from highly non-uniform delayering particularly for sub 20nm technologies due to aggressive back-end-of-line scaling and porous ultra low-k dielectric films. Recently gas assisted Xe plasma FIB has demonstrated uniform delayering of the metal and dielectric layers, achieving a planar surface of heterogeneous materials. In this paper, the successful application of this technique to delayer sub-20 nm microprocessor chips with real defects to root cause the failure is presented.


2007 ◽  
Vol 90 (11) ◽  
pp. 3430-3434 ◽  
Author(s):  
Sverre M. Selbach ◽  
Mari-Ann Einarsrud ◽  
Thomas Tybell ◽  
Tor Grande

2020 ◽  
Vol 54 (9-10) ◽  
pp. 983-991
Author(s):  
MAHESHANI P. A. NANAYAKKARA ◽  
WALAGEDARA G.A. PABASARA ◽  
ADIKARI M.P.B. SAMARASEKARA ◽  
DON A.S. AMARASINGHE ◽  
LALEEN KARUNANAYAKE

As rice is the staple food of most Asian countries, rice straw has become one of the largest agricultural wastes in Asia. It has not been subjected to adequate value additions yet. However, it has excellent potential to be converted to valuable materials, as it contains a significant amount of cellulose. Therefore, it would be beneficial in many ways to identify the cellulose yields of straws of different rice varieties. In general, the cellulose content of biomass is determined by wet chemical methods. Though these methods are accurate, they are not convenient to use under industrial conditions. This research work focuses on investigating the potential of thermal analysis as an alternative way to predict cellulose yields. For the study, rice straws of most frequently cultivated traditional Sri Lankan rice varieties: Suwandel and Raththal, as well as technically modified Sri Lankan rice varieties: BG300 and BG352, were selected. The results obtained by the proposed method were validated by an established three-step chemical extraction process.


2010 ◽  
Vol 654-656 ◽  
pp. 2871-2874 ◽  
Author(s):  
Vanessa K. Peterson ◽  
Cormac Corr ◽  
Gordon J. Kearley ◽  
Roderick Boswell ◽  
Zunbeltz Izaola

This paper compares proton diffusion through plasma-polymerised proton-exchange membranes (PEMs) produced using traditional wet-chemical methods (Nafion®) and those produced using plasma-polymerisation. Using quasielastic neutron scattering and a simple model of proton motion we find the measured diffusion-rate of protons in the plasma-polymerised material and Nafion® is the same (within 1 standard error) even though the plasma-polymerised membrane has 80 % less water than the Nafion®. We attribute this result to the highly cross-linked structure of the plasma-polymerised membrane.


1990 ◽  
Vol 114 (3) ◽  
pp. 253-257 ◽  
Author(s):  
G. Z. Wetherill ◽  
I. Murray ◽  
C. A. Glasbey

SUMMARYCompositional analysis of feeds and other materials by near-infrared reflectance (NIR) has been proposed as a cheap and rapid alternative to traditional wet chemical methods. A theoretical basis for NIR measurements is needed and may be obtained from the study of artificial mixtures of pure chemicals.Mixtures of lactose, casein and sodium oleate, in widely differing concentrations, were analysed by NIR. Principal component analysis was used to study the variations between spectra, and multiple linear regressions gave predictors of sample compositions from the spectra. Optical densities at most combinations of wavelengths gave good predictions of sample compositions because there was much less unexplained variation between NIR spectra than would occur between natural samples.


2019 ◽  
Vol 16 (4) ◽  
pp. 1501-1509 ◽  
Author(s):  
Patrícia Gonçalves ◽  
Adriano Francisco Barbosa ◽  
Jéssica Ariane Oliveira ◽  
Roberto Bertholdo ◽  
Tania Regina Giraldi

Sign in / Sign up

Export Citation Format

Share Document