Study of multiple impurity seeding effect using SONIC integrated divertor code for JT-60SA plasma prediction

2019 ◽  
Vol 60 (5-6) ◽  
pp. e201900146
Author(s):  
Shohei Yamoto ◽  
Kazuo Hoshino ◽  
Yuki Homma ◽  
Tomohide Nakano ◽  
Nobuhiko Hayashi
Keyword(s):  
Seeding Effect

Toxicity of serum albumin on microglia upon seeding effect of amyloid peptide

2016 ◽  
Vol 160 (6) ◽  
pp. 325-332 ◽  
Author(s):  
Maryam Ferdousi ◽  
Mehran Habibi-Rezaei ◽  
Saeed Balalaie ◽  
Sorour Ramezanpour ◽  
Farzaneh Sabouni ◽  
...  
Keyword(s):  
Serum Albumin ◽  
Amyloid Peptide ◽  
Seeding Effect

scholarly journals Evaluation of alfalfa inter-seeding effect on bahiagrass baleage fermentation and lactating Holstein performance

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Michael E McCormick ◽  
Kun Jun Han ◽  
Vinicius R Moreira ◽  
David C Blouin
Keyword(s):  
Seeding Effect

The seeding effect of floating zone growth on Nd1.85Ce0.15CuO4and Bi2Sr2CaCu2O8  single crystals

2002 ◽  
Vol 15 (12) ◽  
pp. 1736-1740 ◽  
Author(s):  
C T Lin ◽  
A Maljuk ◽  
B Liang
Keyword(s):  
Single Crystals ◽  
Floating Zone ◽  
Seeding Effect ◽  
Zone Growth

Test Fails to Confirm Cloud Seeding Effect

Science ◽  
1982 ◽  
Vol 217 (4556) ◽  
pp. 234-236 ◽  
Author(s):  
R. A. KERR
Keyword(s):  
Cloud Seeding ◽  
Seeding Effect

scholarly journals Contribution of primary carbonaceous aerosol to cloud condensation nuclei: processes and uncertainties evaluated with a global aerosol microphysics model

2007 ◽  
Vol 7 (20) ◽  
pp. 5447-5466 ◽  
Author(s):  
J. R. Pierce ◽  
K. Chen ◽  
P. J. Adams
Keyword(s):  
Size Distribution ◽  
Climate Model ◽  
Cloud Condensation Nuclei ◽  
Global Climate Model ◽  
Organic Aerosol ◽  
Carbonaceous Aerosol ◽  
Condensation Nuclei ◽  
Carbonaceous Particles ◽  
Seeding Effect ◽  
Inorganic Aerosol

Abstract. This paper explores the impacts of primary carbonaceous aerosol on cloud condensation nuclei (CCN) concentrations in a global climate model with size-resolved aerosol microphysics. Organic matter (OM) and elemental carbon (EC) from two emissions inventories were incorporated into a preexisting model with sulfate and sea-salt aerosol. The addition of primary carbonaceous aerosol increased CCN(0.2%) concentrations by 65–90% in the globally averaged surface layer depending on the carbonaceous emissions inventory used. Sensitivity studies were performed to determine the relative importance of organic solubility/hygroscopicity in predicting CCN. In a sensitivity study where carbonaceous aerosol was assumed to be completely insoluble, concentrations of CCN(0.2%) still increased by 40–50% globally over the no carbonaceous simulation because primary carbonaceous emissions were able to become CCN via condensation of sulfuric acid. This shows that approximately half of the contribution of primary carbonaceous particles to CCN in our model comes from the addition of new particles (seeding effect) and half from the contribution of organic solute (solute effect). The solute effect tends to dominate more in areas where there is less inorganic aerosol than organic aerosol and the seeding effect tends to dominate in areas where there is more inorganic aerosol than organic aerosol. It was found that an accurate simulation of the number size distribution is necessary to predict the CCN concentration but assuming an average chemical composition will generally give a CCN concentration within a factor of 2. If a "typical" size distribution is assumed for each species when calculating CCN, such as is done in bulk aerosol models, the mean error relative to a simulation with size resolved microphysics is on the order of 35%. Predicted values of carbonaceous aerosol mass and aerosol number were compared to observations and the model showed average errors of a factor of 3 for carbonaceous mass and a factor of 4 for total aerosol number; however, errors in the accumulation mode concentrations were found to be lower in comparisons with European and marine observations.. The errors in CN and carbonaceous mass may be reduced by improving the emission size distributions of both primary sulfate and primary carbonaceous aerosol.

Seeding Effect by Off-Stoichiometric SrBi[sub 2]Ta[sub 2x]O[sub 9] Thin Buffer Layer on the Properties of SrBi[sub 2]Ta[sub 2]O[sub 9] Thin Films

2010 ◽  
Vol 157 (2) ◽  
pp. G57 ◽  
Author(s):  
Fan-Yi Hsu ◽  
Ching-Chich Leu ◽  
Chen-Ti Hu
Keyword(s):  
Thin Films ◽  
Buffer Layer ◽  
Seeding Effect
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