The impact of Gd2O3 on nuclear safety proficiencies of TeO2–ZnO–Nb2O5 glasses: A GEANT4 Monte Carlo study

2020 ◽  
Vol 46 (15) ◽  
pp. 23347-23356 ◽  
Author(s):  
M.S. Al- Buriahi ◽  
B. Tonguç ◽  
U. Perişanoğlu ◽  
E. Kavaz
2018 ◽  
Vol 63 (16) ◽  
pp. 165013 ◽  
Author(s):  
Mengying Shi ◽  
Marios Myronakis ◽  
Yue-Houng Hu ◽  
Daniel Morf ◽  
Joerg Rottmann ◽  
...  

2019 ◽  
Vol 126 (10) ◽  
pp. 105705 ◽  
Author(s):  
Aqyan A. Bhatti ◽  
Dax M. Crum ◽  
Amithraj Valsaraj ◽  
Leonard F. Register ◽  
Sanjay K. Banerjee

2013 ◽  
Vol 41 (1) ◽  
pp. 011702 ◽  
Author(s):  
Maria Francesca Spadea ◽  
Joost Mathias Verburg ◽  
Guido Baroni ◽  
Joao Seco

2018 ◽  
Vol 35 (1) ◽  
pp. 57-66 ◽  
Author(s):  
Igor Podgorny ◽  
Dan Lubin ◽  
Donald K. Perovich

AbstractIn anticipation that unmanned aerial vehicles (UAVs) will have a useful role in atmospheric energy budget studies over sea ice, a Monte Carlo model is used to investigate three-dimensional radiative transfer over a highly inhomogeneous surface albedo involving open water, sea ice, and melt ponds. The model simulates the spatial variability in 550-nm downwelling irradiance and albedo that a UAV would measure above this surface and underneath an optically thick, horizontally homogeneous cloud. At flight altitudes higher than 100 m above the surface, an airborne radiometer will sample irradiances that are greatly smoothed horizontally as a result of photon multiple reflection. If one is interested in sampling the local energy budget contrasts between specific surface types, then the UAV must fly at a low altitude, typically within 20 m of the surface. Spatial upwelling irradiance variability in larger open water features, on the order of 1000 m wide, will remain apparent as high as 500 m above the surface. To fully investigate the impact of surface feature variability on the energy budget of the lower troposphere ice–ocean system, a UAV needs to fly at a variety of altitudes to determine how individual features contribute to the area-average albedo.


2018 ◽  
Vol 63 (19) ◽  
pp. 195012 ◽  
Author(s):  
Arthur Lalonde ◽  
Mikaël Simard ◽  
Charlotte Remy ◽  
Esther Bär ◽  
Hugo Bouchard

2018 ◽  
Vol 20 (13) ◽  
pp. 8897-8908 ◽  
Author(s):  
Waldemar Kaiser ◽  
Tim Albes ◽  
Alessio Gagliardi

Kinetic Monte Carlo study of the impact of spatial and energetic disorder on charge mobility, current distribution and transport energy in organic semiconductors.


2006 ◽  
Vol 6 (1-3) ◽  
pp. 1-5 ◽  
Author(s):  
Giulio Ferrari ◽  
J. R. Watling ◽  
S. Roy ◽  
J. R. Barker ◽  
A. Asenov ◽  
...  

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