Non-diffusive ignition of a gaseous reactive mixture following time-resolved, spatially distributed energy deposition

2014 ◽  
Vol 18 (1) ◽  
pp. 101-116 ◽  
Author(s):  
D.R. Kassoy
2019 ◽  
Vol 216 ◽  
pp. 414-433 ◽  
Author(s):  
Johannes Mahl ◽  
Stefan Neppl ◽  
Friedrich Roth ◽  
Mario Borgwardt ◽  
Catherine Saladrigas ◽  
...  

Laser-induced energy deposition and heat transport in CuO is studied by picosecond time-resolved X-ray absorption spectroscopy.


Author(s):  
Cyril MAUCLAIR ◽  
Konstantin MISHCHIK ◽  
Alexandre MERMILLOD-BLONDIN ◽  
Jörn BONSE ◽  
Arkadi ROSENFELD ◽  
...  

1999 ◽  
Vol 13 (12-13) ◽  
pp. 1935-1959 ◽  
Author(s):  
Danny Marks ◽  
James Domingo ◽  
Dave Susong ◽  
Tim Link ◽  
David Garen

1995 ◽  
Vol 417 ◽  
Author(s):  
Kazuo Uchida ◽  
Takayuki Arai ◽  
Koh Matsumoto

AbstractWe report the optical characteristics of 100 A˚ thick GaAs/Ga0.521n0.48P single quantum wells grown by Metal Organic Vapor Phase Epitaxy. We have confirmed from the 77 K photoluminescence (PL) that an optimum growth sequence is necessary to achieve the emission from the well (1.52 eV), otherwise only the deep emission band (1.46 eV) is observed. From the time-resolved photoluminescence and temperature dependent PL measurements, we assign that this 1.46 eV deep emission is a recombination of electron-hole pair in a vacancy-related defect which is spatially distributed at the imperfect GaAs/Ga 0.521n0.48P interface.


2010 ◽  
Vol 27 ◽  
pp. 99-109 ◽  
Author(s):  
J. Schöber ◽  
S. Achleitner ◽  
R. Kirnbauer ◽  
F. Schöberl ◽  
H. Schönlaub

Abstract. The catchment of the river Inn is located in the Swiss and Austrian Alps. In the frame of the flood forecasting system "HoPI" (Hochwasserprognose für den Tiroler Inn), the Austrian part of the river Inn and its tributaries are covered within a hybrid numerical model. The runoff from the glacierized headwaters of the south-western Inn tributaries is calculated using the Snow- and Icemelt Model "SES" which utilizes a spatially-distributed energy balance approach; within SES, the accumulation and melting processes for snow, firn, and ice are considered. It is of great importance that such a type of model is used in the simulation of alpine areas since in these regions stream flow is influenced by the accumulation and melt of snow and ice and snow-free glaciers have also the potential to increase or even induce flood flow. For a prototype of the forecast system, SES was calibrated using the snow depletion of a glacier, but later, following the first results during the operational mode, the model was recalibrated and validated using remotely-sensed data covering all 13 glacierized catchments. Using the final snow-parameter setting, a simulation run of 15 hydrological years without any state corrections achieved overall agreements between observed and simulated snow cover ranging from 68% to 88% for all individual catchments. Runoff was calibrated and validated using the data from three different gauges. A parameter set, including both validated snow and runoff parameters, was applied for the modelling of a fourth gauged catchment and also achieved accurate results. This final unique parameterization was transferred to the remaining, ungauged watersheds.


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