Thermal spike model for heavy ion induced desorption from surfaces

1987 ◽  
Vol 86 (1) ◽  
pp. 443-453 ◽  
Author(s):  
Robert R. Lucchese
Keyword(s):  
Heavy Ion ◽  
Thermal Spike ◽  
Thermal Spike Model ◽  
Spike Model

The Thermal Spike Model: A Possible Way to Describe the Effects Induced in Y2O3 by Swift Heavy Ion Irradiations

1997 ◽  
Vol 248-249 ◽  
pp. 21-32 ◽  
Author(s):  
C. Dufour ◽  
S. Hemon ◽  
F. Gourbilleau ◽  
E. Paumier ◽  
E. Dooryhee
Keyword(s):  
Heavy Ion ◽  
Thermal Spike ◽  
Thermal Spike Model ◽  
Spike Model ◽  
Swift Heavy Ion

The use of a thermal spike model for temperature calculation in two-layer structures along the projective track of a high-energy heavy ion

2006 ◽  
Vol 3 (5) ◽  
pp. 320-326
Author(s):  
I. V. Amirkhanov ◽  
A. Yu. Didyk ◽  
N. R. Sarker ◽  
I. Sarhadov ◽  
V. K. Semina ◽  
...  
Keyword(s):  
Heavy Ion ◽  
High Energy ◽  
Thermal Spike ◽  
Temperature Calculation ◽  
Thermal Spike Model ◽  
Spike Model ◽  
Layer Structures

Enhanced surface and interface diffusion in Ni–Bi bilayers by swift heavy ion irradiation

RSC Advances ◽  
2016 ◽  
Vol 6 (64) ◽  
pp. 58950-58956 ◽  
Author(s):  
Vantari Siva ◽  
Abdelhak Chettah ◽  
Biswarup Satpati ◽  
S. Ojha ◽  
D. Kanjilal ◽  
...  
Keyword(s):  
Ion Irradiation ◽  
Heavy Ion ◽  
Thermal Spike ◽  
Model Calculations ◽  
Interface Diffusion ◽  
Surface And Interface ◽  
Heavy Ion Irradiation ◽  
Thermal Spike Model ◽  
Spike Model ◽  
Enhanced Surface

Enhanced surface and interface diffusion in Ni–Bi bilayers has been observed using 100 MeV Au ion irradiation. The experimental observations were demonstrated using thermal spike model calculations.

scholarly journals Assessing a thermal spike model of swift heavy ion–matter interactions via Pd1−xNix/Si interface mixing

2019 ◽  
Vol 21 (30) ◽  
pp. 16634-16646
Author(s):  
Paramita Patra ◽  
S. A. Khan ◽  
M. Bala ◽  
D. K. Avasthi ◽  
S. K. Srivastava
Keyword(s):  
Density Functional Theory ◽  
Density Functional ◽  
Heavy Ion ◽  
Thermal Spike ◽  
Functional Theory ◽  
Thermal Spike Model ◽  
Spike Model ◽  
Swift Heavy Ion ◽  
Density Functional Theory Computations ◽  
Interface Mixing

A combination of density functional theory computations and swift heavy ion (SHI) mixing experiments is employed to assess the thermal spike model of SHI–matter interactions.

scholarly journals “Thermal Spike” model applied to thin targets irradiated with swift heavy ion beams at few MeV/u

2020 ◽  
Vol 229 ◽  
pp. 05001
Author(s):  
Christelle Stodel ◽  
Marcel Toulemonde ◽  
Christoph Fransen ◽  
Bertrand Jacquot ◽  
Emmanuel Clément ◽  
...  
Keyword(s):  
Nuclear Physics ◽  
Dominant Role ◽  
Heavy Ion ◽  
Ion Beams ◽  
Electronic Excitations ◽  
Thermal Spike ◽  
Experimental Conditions ◽  
Thermal Spike Model ◽  
Spike Model ◽  
Swift Heavy Ion

High electronic excitations in radiation of metallic targets with swift heavy ion beams at the coulomb barrier play a dominant role in the damaging processes of some metals. The inelastic thermal spike model was developed to describe tracks in materials and is applied in this paper to some systems beams/targets employed recently in some nuclear physics experiments. Taking into account the experimental conditions and the approved electron-phonon coupling factors, the results of the calculation enable to interpret the observation of the fast deformation of some targets.

A Thermal Spike Model of the Amorphization of Insulators by High-Energy Heavy-Ion Irradiation

1994 ◽  
Vol 373 ◽  
Author(s):  
G. Szenes
Keyword(s):  
Ion Irradiation ◽  
Threshold Value ◽  
Heavy Ion ◽  
High Energy ◽  
Quantitative Relation ◽  
Thermal Spike ◽  
Thermal Spike Model ◽  
Spike Model ◽  
Track Formation ◽  
Basic Features

AbstractA model based on the assumption of a Gaussian temperature distribution in the thermal spike well accounts for the basic features of latent track formation. In good agreement with the observations it predicts a logarithmic variation of the track size for 2.7≥Se/Set≥1 and a linear variation for Se/Set≥2.7, where Se is the electronic stopping power and Set is a threshold value. The model also provides a quantitative relation between Set and the thermal properties of the target. A weak temperature dependence of track formation is predicted in agreement with the experiments.

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