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Accepted manuscript

Compensation of Carrier Envelope Phase Slip using Machine Learning

Published online by Cambridge University Press:  25 March 2026

Sung In Hwang ,
Jung Moon Yang ,
Dongyoon Yoo ,
Jin Woo Yoon Open the ORCID record for Jin Woo Yoon [Opens in a new window] ,
Bin Kim ,
Seong Ku Lee ,
Kyung Taec Kim Open the ORCID record for Kyung Taec Kim [Opens in a new window]  and
Jae Hee Sung Open the ORCID record for Jae Hee Sung [Opens in a new window]
Sung In Hwang
Affiliation:
Center for Relativistic Laser Science, Institute for Basic Science, Gwangju 61005, Korea
Jung Moon Yang
Affiliation:
Center for Relativistic Laser Science, Institute for Basic Science, Gwangju 61005, Korea
Dongyoon Yoo
Affiliation:
Center for Relativistic Laser Science, Institute for Basic Science, Gwangju 61005, Korea
Jin Woo Yoon
Affiliation:
Center for Relativistic Laser Science, Institute for Basic Science, Gwangju 61005, Korea Advanced Photonics Research Institute, Gwangju Institute of Science and Technology, Gwangju 61005, Korea
Bin Kim
Affiliation:
Department of Physics and Photon Science, Gwangju Institute of Science and Technology, Gwangju 61005, Korea
Seong Ku Lee
Affiliation:
Center for Relativistic Laser Science, Institute for Basic Science, Gwangju 61005, Korea Advanced Photonics Research Institute, Gwangju Institute of Science and Technology, Gwangju 61005, Korea
Kyung Taec Kim
Affiliation:
Center for Relativistic Laser Science, Institute for Basic Science, Gwangju 61005, Korea Department of Physics and Photon Science, Gwangju Institute of Science and Technology, Gwangju 61005, Korea
Jae Hee Sung*
Affiliation:
Center for Relativistic Laser Science, Institute for Basic Science, Gwangju 61005, Korea Advanced Photonics Research Institute, Gwangju Institute of Science and Technology, Gwangju 61005, Korea
*
*Corresponding author: sungjh@gist.ac.kr
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Abstract

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Keywords

high power lasercarrier envelope phasemachine learning

Information

Type
Review
Information
High Power Laser Science and Engineering , Accepted manuscript , pp. 1 - 19
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press in association with Chinese Laser Press