Diffractive Optics in Laser Processing: Digital Approaches to Design and Application

Effective control of the spatial distribution of laser beam energy plays a key role in material processing technologies. The integration of diffractive optical elements (DOE) with digital tools opens new prospects for the control of laser processes, enabling precise energy distribution, adaptive adjustment of processing parameters, and improved predictability of outcomes. This paper explores digital approaches to the design and application of diffractive optics in laser processing. It describes methods for tuning laser beam parameters, the use of digital twins, and machine learning algorithms to enhance processing accuracy. The paper also thoroughly examines the potential applications of digital technologies for optimizing micro- and nano-processing, laser welding, and improving the quality and stability of materials during laser modification. The future development of these technologies, including integration with adaptive systems and optimization algorithms, is presented, opening new horizons for precision manufacturing processes.

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Publication Details

Journal
Optical Memory and Neural Networks
Published
2025-12-01
DOI
https://doi.org/10.3103/s1060992x25602647
Primary Topic
Laser Material Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Diffractive Optics in Laser Processing: Digital Approaches to Design and Application

S. P. Murzin
Optical Memory and Neural Networks
Laser Material Processing Techniques
article

Diffractive Optics in Laser Processing: Digital Approaches to Design and Application

S. P. Murzin
article en

Abstract

Effective control of the spatial distribution of laser beam energy plays a key role in material processing technologies. The integration of diffractive optical elements (DOE) with digital tools opens new prospects for the control of laser processes, enabling precise energy distribution, adaptive adjustment of processing parameters, and improved predictability of outcomes. This paper explores digital approaches to the design and application of diffractive optics in laser processing. It describes methods for tuning laser beam parameters, the use of digital twins, and machine learning algorithms to enhance processing accuracy. The paper also thoroughly examines the potential applications of digital technologies for optimizing micro- and nano-processing, laser welding, and improving the quality and stability of materials during laser modification. The future development of these technologies, including integration with adaptive systems and optimization algorithms, is presented, opening new horizons for precision manufacturing processes.

Optical Memory and Neural NetworksVol. 34(S2)
TU Wien (AT), Samara National Research University (RU)
Affordable and clean energy
Openalex Percentile: Top 32%
Laser Material Processing Techniques
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Diffractive Optics in Laser Processing: Digital Approaches to Design and Application — S. P. Murzin · Optical Memory and Neural Networks (2025) | TGRS Research Map | TGRS