scholarly journals SERS-based ssDNA composition analysis with inhomogeneous peak broadening and reservoir computing

2022 ◽  
Vol 120 (2) ◽  
pp. 023701
Author(s):  
Phuong H. L. Nguyen ◽  
Shimon Rubin ◽  
Pulak Sarangi ◽  
Piya Pal ◽  
Yeshaiahu Fainman
Keyword(s):  
Composition Analysis ◽  
Reservoir Computing ◽  
Peak Broadening

Municipal Solid Waste Treatment Using Plasma Gasification with the Potential Production of Synthesis Gas (Syngas)

2019 ◽  
Vol 2 (1) ◽  
pp. 8-12
Author(s):  
Angela Hartati ◽  
Diah Indriani Widiputri ◽  
Arbi Dimyati
Keyword(s):  
Waste Treatment ◽  
Composition Analysis ◽  
Energy Agency ◽  
Plasma Gasification ◽  
Gasification Process ◽  
Solid Waste Treatment ◽  
Pre Treatment ◽  
Waste Separation ◽  
Gasification Efficiency ◽  
Arc Plasma Torch

This research was conducted for the purpose to overcome Indonesia waste problem. The samples are classified into garden waste, paper waste, wood, food waste, and MSW with objective to identify which type of waste give out more syngas since there is waste separation in Indonesia. All samples were treated by plasma gasification without pre-treatment (drying). Arc plasma torch used in this experiment was made by National Nuclear Energy Agency (BATAN) and used Argon as the gas source. Then the torch was connected to self-designed gasification chamber and gas washing system before injected into a gas bas for composition analysis. Another objective is to identify factors that may affect the gasification efficiency and the experiment shows that moisture content is not really affecting the efficiency but the duration of the process. The mass reduction of each samples were recorded, then the gas produced from the gasification process were analyzed. The result shows that food has the highest mass percentage reduced and producing the highest amount of hydrogen amongst other samples. However, treating MSW also produce considerably high amount of hydrogen. In conclusion, MSW direct treatment (without separation) using plasma gasification is feasible since it still produces desirable quality of syngas.

Laser Marking and Composition Analysis of 13-8 Steel and Nitronics 60 Surfaces

2015 ◽  
Author(s):  
Ryan D. Murphy ◽  
David J. Saiz ◽  
Alvaro Augusto Cruz-Cabrera ◽  
Phil R. Aragon ◽  
Mark A. Rodriguez ◽  
...  
Keyword(s):  
Composition Analysis ◽  
Laser Marking

BETTER UNDERSTANDING THE GEOLOGY OF CENTRAL CUBA THROUGH STREAM SEDIMENT COMPOSITION ANALYSIS USING X-RAY DIFFRACTION

2019 ◽  
Author(s):  
Landon Williamson ◽  
◽  
Nicolas Perdrial ◽  
John M. Hughes ◽  
Mae Kate Campbell ◽  
...  
Keyword(s):  
Stream Sediment ◽  
Composition Analysis ◽  
X Ray Diffraction ◽  
Sediment Composition ◽  
X Ray

Electrical conductivity studies on silica phases and the effects of phase transformation

2019 ◽  
Vol 104 (12) ◽  
pp. 1800-1805
Author(s):  
George M. Amulele ◽  
Anthony W. Lanati ◽  
Simon M. Clark
Keyword(s):  
Electrical Conductivity ◽  
Activation Volume ◽  
Activation Enthalpy ◽  
Hydrogen Charge ◽  
Charge Compensation ◽  
Composition Analysis ◽  
Conductivity Measurements ◽  
Pressure System ◽  
Electrical Conductivities ◽  
Silica Phases

Abstract Starting with the same sample, the electrical conductivities of quartz and coesite have been measured at pressures of 1, 6, and 8.7 GPa, respectively, over a temperature range of 373–1273 K in a multi-anvil high-pressure system. Results indicate that the electrical conductivity in quartz increases with pressure as well as when the phase change from quartz to coesite occurs, while the activation enthalpy decreases with increasing pressure. Activation enthalpies of 0.89, 0.56, and 0.46 eV, were determined at 1, 6, and 8.7 GPa, respectively, giving an activation volume of –0.052 ± 0.006 cm3/mol. FTIR and composition analysis indicate that the electrical conductivities in silica polymorphs is controlled by substitution of silicon by aluminum with hydrogen charge compensation. Comparing with electrical conductivity measurements in stishovite, reported by Yoshino et al. (2014), our results fall within the aluminum and water content extremes measured in stishovite at 12 GPa. The resulting electrical conductivity model is mapped over the magnetotelluric profile obtained through the tectonically stable Northern Australian Craton. Given their relative abundances, these results imply potentially high electrical conductivities in the crust and mantle from contributions of silica polymorphs. The main results of this paper are as follows:The electrical conductivity of silica polymorphs is determined by impedance spectroscopy up to 8.7 GPa.The activation enthalpy decreases with increasing pressure indicating a negative activation volume across the silica polymorphs.The electrical conductivity results are consistent with measurements observed in stishovite at 12 GPa.

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