Corrigendum to “Artificial intelligence based analysis of nanoindentation load–displacement data using a genetic algorithm” [Appl. Surf. Sci. 612 (2023) 155734] (Applied Surface Science (2023) 612, (S0169433222032627), (10.1016/j.apsusc.2022.155734))

Abraham Burleigh; Miu Lun Lau; Megan Burrill; Daniel T. Olive; Jonathan G. Gigax; Nan Li; Tarik A. Saleh; Frederique Pellemoine; Sujit Bidhar; Min Long; Kavin Ammigan; Jeff Terry

doi:10.1016/j.apsusc.2023.156840

Corrigendum to “Artificial intelligence based analysis of nanoindentation load–displacement data using a genetic algorithm” [Appl. Surf. Sci. 612 (2023) 155734] (Applied Surface Science (2023) 612, (S0169433222032627), (10.1016/j.apsusc.2022.155734))

Abraham Burleigh
, Miu Lun Lau
, Megan Burrill
, Daniel T. Olive
, Jonathan G. Gigax
, Nan Li
, Tarik A. Saleh
, Frederique Pellemoine
, Sujit Bidhar
, Min Long
, Kavin Ammigan
, Jeff Terry

Computer Science Department

Research output: Contribution to journal › Comment/debate

Abstract

The authors regret the omission of the following from the acknowledgements: Undergraduate student researcher (MB) was supported by the National Science Foundation – Research Experience for Undergraduates under award DMR 2050916. The authors would like to apologise for any inconvenience caused.

Original language	English
Article number	156840
Journal	Applied Surface Science
Volume	620
DOIs	https://doi.org/10.1016/j.apsusc.2023.156840
State	Published - 30 May 2023

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Burleigh, A., Lau, M. L., Burrill, M., Olive, D. T., Gigax, J. G., Li, N., Saleh, T. A., Pellemoine, F., Bidhar, S., Long, M., Ammigan, K., & Terry, J. (2023). Corrigendum to “Artificial intelligence based analysis of nanoindentation load–displacement data using a genetic algorithm” [Appl. Surf. Sci. 612 (2023) 155734] (Applied Surface Science (2023) 612, (S0169433222032627), (10.1016/j.apsusc.2022.155734)). Applied Surface Science, 620, Article 156840. https://doi.org/10.1016/j.apsusc.2023.156840

@article{0a0e42e97b8c4128bc9bbf15827053ab,

title = "Corrigendum to “Artificial intelligence based analysis of nanoindentation load–displacement data using a genetic algorithm” [Appl. Surf. Sci. 612 (2023) 155734] (Applied Surface Science (2023) 612, (S0169433222032627), (10.1016/j.apsusc.2022.155734))",

abstract = "The authors regret the omission of the following from the acknowledgements: Undergraduate student researcher (MB) was supported by the National Science Foundation – Research Experience for Undergraduates under award DMR 2050916. The authors would like to apologise for any inconvenience caused.",

author = "Abraham Burleigh and Lau, \{Miu Lun\} and Megan Burrill and Olive, \{Daniel T.\} and Gigax, \{Jonathan G.\} and Nan Li and Saleh, \{Tarik A.\} and Frederique Pellemoine and Sujit Bidhar and Min Long and Kavin Ammigan and Jeff Terry",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.",

year = "2023",

month = may,

day = "30",

doi = "10.1016/j.apsusc.2023.156840",

language = "English",

volume = "620",

}

Burleigh, A, Lau, ML, Burrill, M, Olive, DT, Gigax, JG, Li, N, Saleh, TA, Pellemoine, F, Bidhar, S, Long, M, Ammigan, K & Terry, J 2023, 'Corrigendum to “Artificial intelligence based analysis of nanoindentation load–displacement data using a genetic algorithm” [Appl. Surf. Sci. 612 (2023) 155734] (Applied Surface Science (2023) 612, (S0169433222032627), (10.1016/j.apsusc.2022.155734))', Applied Surface Science, vol. 620, 156840. https://doi.org/10.1016/j.apsusc.2023.156840

Corrigendum to “Artificial intelligence based analysis of nanoindentation load–displacement data using a genetic algorithm” [Appl. Surf. Sci. 612 (2023) 155734] (Applied Surface Science (2023) 612, (S0169433222032627), (10.1016/j.apsusc.2022.155734)). / Burleigh, Abraham; Lau, Miu Lun; Burrill, Megan et al.
In: Applied Surface Science, Vol. 620, 156840, 30.05.2023.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Corrigendum to “Artificial intelligence based analysis of nanoindentation load–displacement data using a genetic algorithm” [Appl. Surf. Sci. 612 (2023) 155734] (Applied Surface Science (2023) 612, (S0169433222032627), (10.1016/j.apsusc.2022.155734))

AU - Burleigh, Abraham

AU - Lau, Miu Lun

AU - Burrill, Megan

AU - Olive, Daniel T.

AU - Gigax, Jonathan G.

AU - Li, Nan

AU - Saleh, Tarik A.

AU - Pellemoine, Frederique

AU - Bidhar, Sujit

AU - Long, Min

AU - Ammigan, Kavin

AU - Terry, Jeff

PY - 2023/5/30

Y1 - 2023/5/30

N2 - The authors regret the omission of the following from the acknowledgements: Undergraduate student researcher (MB) was supported by the National Science Foundation – Research Experience for Undergraduates under award DMR 2050916. The authors would like to apologise for any inconvenience caused.

AB - The authors regret the omission of the following from the acknowledgements: Undergraduate student researcher (MB) was supported by the National Science Foundation – Research Experience for Undergraduates under award DMR 2050916. The authors would like to apologise for any inconvenience caused.

UR - https://www.scopus.com/pages/publications/85149326743

U2 - 10.1016/j.apsusc.2023.156840

DO - 10.1016/j.apsusc.2023.156840

M3 - Comment/debate

AN - SCOPUS:85149326743

SN - 0169-4332

VL - 620

JO - Applied Surface Science

JF - Applied Surface Science

M1 - 156840

ER -

Burleigh A, Lau ML, Burrill M, Olive DT, Gigax JG, Li N et al. Corrigendum to “Artificial intelligence based analysis of nanoindentation load–displacement data using a genetic algorithm” [Appl. Surf. Sci. 612 (2023) 155734] (Applied Surface Science (2023) 612, (S0169433222032627), (10.1016/j.apsusc.2022.155734)). Applied Surface Science. 2023 May 30;620:156840. doi: 10.1016/j.apsusc.2023.156840

Corrigendum to “Artificial intelligence based analysis of nanoindentation load–displacement data using a genetic algorithm” [Appl. Surf. Sci. 612 (2023) 155734] (Applied Surface Science (2023) 612, (S0169433222032627), (10.1016/j.apsusc.2022.155734))

Abstract

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