Modelling and Optimisation of Femtosecond Laser Machining via Deep Learning (Invited)
Modelling and Optimisation of Femtosecond Laser Machining via Deep Learning (Invited)
Femtosecond laser machining is a highly precise fabrication method. However, it is extremely nonlinear and hence very challenging to model. Deep learning offers the capability for simulation of femtosecond laser machining directly from experimental data.
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Zervas, Michael
1840a474-dd50-4a55-ab74-6f086aa3f701
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Zervas, Michael
1840a474-dd50-4a55-ab74-6f086aa3f701
Mills, Benjamin, Grant-Jacob, James and Zervas, Michael
(2023)
Modelling and Optimisation of Femtosecond Laser Machining via Deep Learning (Invited).
CLEO 2023: Laser Science to Applications, San Jose McEnery Convention Center, San Jose, United States.
07 - 12 May 2023.
(In Press)
Record type:
Conference or Workshop Item
(Other)
Abstract
Femtosecond laser machining is a highly precise fabrication method. However, it is extremely nonlinear and hence very challenging to model. Deep learning offers the capability for simulation of femtosecond laser machining directly from experimental data.
Text
submitted title and 35 word abstract
- Accepted Manuscript
More information
Accepted/In Press date: 22 January 2023
Venue - Dates:
CLEO 2023: Laser Science to Applications, San Jose McEnery Convention Center, San Jose, United States, 2023-05-07 - 2023-05-12
Identifiers
Local EPrints ID: 474615
URI: http://eprints.soton.ac.uk/id/eprint/474615
PURE UUID: be7a287e-78a5-42da-8fb6-f6eafb7d4694
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Date deposited: 28 Feb 2023 17:33
Last modified: 01 Mar 2023 02:43
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