2018
DOI: 10.1515/mcma-2018-0019
|View full text |Cite
|
Sign up to set email alerts
|

Understanding the contribution of energy and angular distribution in the morphology of thin films using Monte Carlo simulation

Abstract: The energy and the angular distribution of atoms are considered like two parameters most influent in the optimization of the sputtering and subsequently on the deposit, resulting in films having the desired properties (homogeneity in thickness, composition identical to that of the evaporated material). Moreover, a great influence on the shape and quality of thin films is obtained. In this work, a simulation with a Monte Carlo (MC) method is used to calculate the sputtering yield for different energies and angu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
9
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 10 publications
(9 citation statements)
references
References 27 publications
0
9
0
Order By: Relevance
“…In Ref. [3], the simulation results using the Monte Carlo code of the sputtering yield for metals and semiconductors were obtained by varying the energy and angles of incidence.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…In Ref. [3], the simulation results using the Monte Carlo code of the sputtering yield for metals and semiconductors were obtained by varying the energy and angles of incidence.…”
Section: Resultsmentioning
confidence: 99%
“…A surface atom is ejected if its energy exceeds its surface binding energy. To evaluate the number of atoms ejected under ion bombardment, we calculated the sputtering yield Y (E), which quantifies physical sputtering and is defined as the mean number of atoms removed from the surface of a solid per incident ion [2][3][4]52].…”
Section: Sputtering Yield Calculationmentioning
confidence: 99%
See 2 more Smart Citations
“…The Monte Carlo technique is the better method for having an excellent description of the particle's kinetics in the electrical discharges and plasma. This method of simulation simulates the realistic physical processes in electrical discharges and plasma and describes the temporal and spatial evolutions of particles [11][12][13]. The swarm parameters of the charged particles used for the electrical discharge and plasma applications are deduced theoretically and experimentally under the static electric fields.…”
Section: Introductionmentioning
confidence: 99%