A computational intelligence based dislocation recognition during molecular dynamics simulation

Jianfeng Huang; Don McGlinchey; Yuanxin Luo; Yi Chen

doi:10.1109/IConAC.2016.7604923

A computational intelligence based dislocation recognition during molecular dynamics simulation

Jianfeng Huang^*
, Don McGlinchey
, Yuanxin Luo
, Yi Chen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Dislocation evolution in metal is the majority response of external stress or strain during the deformation. In this paper, a computational intelligence aided dislocation recognition algorithm which is integrated in a molecular dynamics simulation is proposed. This algorithm is inspired by genetic algorithm(GA) and follows the main GA process in which the initial population is the disperse nodes set and is under the select, crossover to evolve the new generation of nodes set. Finally, two examples of the dislocation recognition during fatigue simulation by using this algorithm is provided with good result when comparing with the traditional MD post process method.

Original language	English
Title of host publication	2016 22nd International Conference on Automation and Computing, ICAC 2016
Subtitle of host publication	Tackling the New Challenges in Automation and Computing
Editors	Jing Wang, Zhijie Xu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	225-232
Number of pages	8
ISBN (Electronic)	9781862181311
DOIs	https://doi.org/10.1109/IConAC.2016.7604923
State	Published - 20 Oct 2016
Externally published	Yes
Event	22nd International Conference on Automation and Computing, ICAC 2016 - Colchester, United Kingdom Duration: 7 Sep 2016 → 8 Sep 2016

Publication series

Name	2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing

Conference

Conference	22nd International Conference on Automation and Computing, ICAC 2016
Country/Territory	United Kingdom
City	Colchester
Period	7/09/16 → 8/09/16

Bibliographical note

Publisher Copyright:
© 2016 Chinese Automation and Computing Society.

ASJC Scopus subject areas

Artificial Intelligence
Software
Control and Optimization

Access to Document

10.1109/IConAC.2016.7604923

Cite this

Huang, J., McGlinchey, D., Luo, Y., & Chen, Y. (2016). A computational intelligence based dislocation recognition during molecular dynamics simulation. In J. Wang, & Z. Xu (Eds.), 2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing (pp. 225-232). Article 7604923 (2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IConAC.2016.7604923

Huang, Jianfeng ; McGlinchey, Don ; Luo, Yuanxin et al. / A computational intelligence based dislocation recognition during molecular dynamics simulation. 2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing. editor / Jing Wang ; Zhijie Xu. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 225-232 (2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing).

@inproceedings{ac782a0547d64a8c81bcdca6217b781d,

title = "A computational intelligence based dislocation recognition during molecular dynamics simulation",

abstract = "Dislocation evolution in metal is the majority response of external stress or strain during the deformation. In this paper, a computational intelligence aided dislocation recognition algorithm which is integrated in a molecular dynamics simulation is proposed. This algorithm is inspired by genetic algorithm(GA) and follows the main GA process in which the initial population is the disperse nodes set and is under the select, crossover to evolve the new generation of nodes set. Finally, two examples of the dislocation recognition during fatigue simulation by using this algorithm is provided with good result when comparing with the traditional MD post process method.",

author = "Jianfeng Huang and Don McGlinchey and Yuanxin Luo and Yi Chen",

note = "Publisher Copyright: {\textcopyright} 2016 Chinese Automation and Computing Society.; 22nd International Conference on Automation and Computing, ICAC 2016 ; Conference date: 07-09-2016 Through 08-09-2016",

year = "2016",

month = oct,

day = "20",

doi = "10.1109/IConAC.2016.7604923",

language = "English",

series = "2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "225--232",

editor = "Jing Wang and Zhijie Xu",

booktitle = "2016 22nd International Conference on Automation and Computing, ICAC 2016",

address = "United States",

}

Huang, J, McGlinchey, D, Luo, Y & Chen, Y 2016, A computational intelligence based dislocation recognition during molecular dynamics simulation. in J Wang & Z Xu (eds), 2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing., 7604923, 2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing, Institute of Electrical and Electronics Engineers Inc., pp. 225-232, 22nd International Conference on Automation and Computing, ICAC 2016, Colchester, United Kingdom, 7/09/16. https://doi.org/10.1109/IConAC.2016.7604923

A computational intelligence based dislocation recognition during molecular dynamics simulation. / Huang, Jianfeng; McGlinchey, Don; Luo, Yuanxin et al.
2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing. ed. / Jing Wang; Zhijie Xu. Institute of Electrical and Electronics Engineers Inc., 2016. p. 225-232 7604923 (2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A computational intelligence based dislocation recognition during molecular dynamics simulation

AU - Huang, Jianfeng

AU - McGlinchey, Don

AU - Luo, Yuanxin

AU - Chen, Yi

PY - 2016/10/20

Y1 - 2016/10/20

N2 - Dislocation evolution in metal is the majority response of external stress or strain during the deformation. In this paper, a computational intelligence aided dislocation recognition algorithm which is integrated in a molecular dynamics simulation is proposed. This algorithm is inspired by genetic algorithm(GA) and follows the main GA process in which the initial population is the disperse nodes set and is under the select, crossover to evolve the new generation of nodes set. Finally, two examples of the dislocation recognition during fatigue simulation by using this algorithm is provided with good result when comparing with the traditional MD post process method.

AB - Dislocation evolution in metal is the majority response of external stress or strain during the deformation. In this paper, a computational intelligence aided dislocation recognition algorithm which is integrated in a molecular dynamics simulation is proposed. This algorithm is inspired by genetic algorithm(GA) and follows the main GA process in which the initial population is the disperse nodes set and is under the select, crossover to evolve the new generation of nodes set. Finally, two examples of the dislocation recognition during fatigue simulation by using this algorithm is provided with good result when comparing with the traditional MD post process method.

UR - https://www.scopus.com/pages/publications/84998546903

U2 - 10.1109/IConAC.2016.7604923

DO - 10.1109/IConAC.2016.7604923

M3 - Conference contribution

AN - SCOPUS:84998546903

T3 - 2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing

SP - 225

EP - 232

BT - 2016 22nd International Conference on Automation and Computing, ICAC 2016

A2 - Wang, Jing

A2 - Xu, Zhijie

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 22nd International Conference on Automation and Computing, ICAC 2016

Y2 - 7 September 2016 through 8 September 2016

ER -

Huang J, McGlinchey D, Luo Y, Chen Y. A computational intelligence based dislocation recognition during molecular dynamics simulation. In Wang J, Xu Z, editors, 2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing. Institute of Electrical and Electronics Engineers Inc. 2016. p. 225-232. 7604923. (2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing). doi: 10.1109/IConAC.2016.7604923

A computational intelligence based dislocation recognition during molecular dynamics simulation

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this