Editorial Feature

Top Beam Shaping Technologies for High-Power Laser Applications in 2026

High-power lasers rarely leave the source with a beam profile suited for their intended task. Raw output often exhibits a Gaussian intensity distribution or multiple transverse modes, which reduce processing precision and can push peak intensity beyond the damage threshold of downstream optics. Beam-shaping technologies correct these limitations by reshaping the beam's intensity, phase, and polarization before it reaches its target.

Image Credit: Andrei Armiagov/Shutterstock

Current research is advancing various specialized methodologies for high-power beam shaping, as average laser power and pulse energy continue to increase in industrial and scientific applications. Each method has its strengths in efficiency, damage tolerance, and flexibility. Industries from metal welding to laser communication now select technologies based on specific process demands rather than convenience alone.1,2

Diffractive Optics and Freeform Elements

Diffractive optical elements remain a foundational choice for shaping high-power laser beams into flat-top, ring, or custom intensity profiles. These elements use microstructured surfaces to redirect light through diffraction rather than refraction. This leads to precise control over energy distribution while tolerating the fluence levels found in industrial cutting and welding systems.2

Freeform mirrors and lenses extend this concept by offering continuously varying surface profiles instead of discrete diffractive structures. Researchers have paired these optics with inverse heat conduction modeling to calculate the exact intensity distribution required to achieve a target temperature profile in the processed material, and then translate that calculated profile into a physical optical design suited for production.1,3

Spatial light modulators built on liquid-crystal-on-silicon technology add programmability to this category of optics. Engineers can reconfigure the projected beam shape without swapping hardware, a trait that suits research environments and pilot production lines where processing requirements shift frequently between projects, materials, and part geometries.1

Diffractive neural networks are a newer branch within this family. It uses stacked diffractive layers trained via simulation to perform a target transformation. Manufacturers still weigh these programmable options against the lower cost and higher damage resistance of a single fixed diffractive element for high-volume runs.4

Adaptive Optics and Deformable Mirrors

Adaptive optics systems correct wavefront distortions in real time using deformable mirrors controlled by dense actuator arrays. Wavefront sensors such as Shack-Hartmann and pyramid designs measure aberrations continuously, feeding data to control algorithms that adjust the mirror surface within milliseconds to preserve beam quality as processing conditions and thermal loads shift.5

Micro-electromechanical deformable mirrors are becoming common due to their compact size and fast response times. These devices support high actuator density in a small footprint, making them practical for applications that demand rapid beam adjustment, including retinal imaging, free-space laser communication, and precision material processing.5

Researchers at the University of Twente demonstrated a deformable mirror system capable of shaping beams at power levels up to one kilowatt, generating several distinct intensity profiles with a large depth of focus that changed by less than 14% over 100 mm. Measured profiles closely matched simulated results, confirming that deformable mirrors now handle industrial power levels once reserved for static optics.6

Multi-Plane Light Conversion

Multi-plane light conversion reshapes a laser beam through a sequence of phase masks separated by controlled free-space propagation. Each mask applies a specific phase pattern, and the cumulative effect performs a unitary transformation between input and output mode sets. This protocol converts a simple Gaussian beam into complex target profiles with minimal energy loss.7

The reflective implementation of this technique tolerates higher power and energy inputs better than many transmissive alternatives, since reflective phase masks dissipate less absorbed energy as heat during continuous operation. This property makes multi-plane light conversion attractive for fiber laser systems and free-space setups that require robust shaping under sustained high-power loads.7

Recent work published in High Power Laser Science and Engineering applied multi-plane light conversion to coherent beam combining. The method merged the output from more than 1,000 individual laser channels using only 7 sequentially arranged phase planes. The resulting combined beam achieved efficiency close to full transmission with a strong beam quality factor, pointing toward scalable architectures for future high-power laser arrays and directed energy systems.7

The same study found that plane spacing and grid resolution govern how well an array of channels combines into a single output, with wider laser arrays benefiting from greater spacing between phase masks. This gives designers a repeatable way to scale combining systems beyond 1,000 channels while maintaining high beam quality.7

Dynamic Shaping for Industrial Processing

Galvanometer scanners and deformable mirrors now compete directly as dynamic beam-shaping devices for welding, cladding, and surface-treatment operations. A mathematical framework published in Optics & Laser Technology compared the two approaches and quantified their shaping capabilities under shared laser parameters. It revealed that each device produces similar average error levels but distinct error distributions tied to its underlying physical design and actuation method.8

In laser welding, tailored intensity profiles influence melt pool shape, penetration depth, and defect formation throughout the joining process. Research shows that ring-shaped and dual-focus profiles reduce spatter and porosity compared with unshaped Gaussian beams, particularly across high-speed automotive body and battery manufacturing lines.9

Saving this for later? Download a PDF here.

Laser cutting also benefits from dynamic control over beam geometry as the process advances through a workpiece from entry to exit. The same review noted that shifting beam shape mid-cut stabilizes melt flow and reduces dross formation along the cut edge, giving operators a practical lever for quality control without changing laser power or feed rate.9

Choosing the Right Approach

No single beam shaping technology dominates every high-power laser application. Diffractive elements and freeform optics suit fixed, high-volume processes where the target profile rarely changes, while adaptive optics and multi-plane light conversion offer flexibility for research settings and production lines with rapidly shifting requirements across industries.1,2

As laser power increases and applications expand across welding, cutting, communication, and beam combining, the choice of beam shaping method increasingly depends on the required speed, acceptable optical loss, and the frequency with which a particular process must adapt to new materials or geometries.1,2

Continued research across these technologies points to further improvements in efficiency, damage resistance, and precision in the coming years. This progress will provide engineers with a wider range of practical tools to tailor beam profiles to specific tasks, rather than relying on a single default shape.1,5

References and Further Reading

  1. Yang, Y. et al. (2023). A review of liquid crystal spatial light modulators: devices and applications. Opto-Electron Sci, 2, 230026. DOI:  10.29026/oes.2023.230026. https://www.oejournal.org/oes/article/doi/10.29026/oes.2023.230026?viewType=HTML
  2. Murzin, S. P. (2025). Digital Engineering in Diffractive Optics for Precision Laser Processing. Photonics, 12(4). DOI:10.3390/photonics12040306. https://www.mdpi.com/2304-6732/12/4/306
  3. Klocke, F. et al. (2017). Optimization of the Laser Hardening Process by Adapting the Intensity Distribution to Generate a Top-hat Temperature Distribution Using Freeform Optics. Coatings, 7(6). DOI:10.3390/coatings7060077. https://www.mdpi.com/2079-6412/7/6/77
  4. Buske, P. et al. (2025). Diffractive neural networks with polynomial phase masks for laser beam shaping with quasi-continuous diffractive optical elements. Opt. Express, 33, 21040-21054. DOI:10.1364/OE.555192. https://opg.optica.org/oe/fulltext.cfm?uri=oe-33-10-21040
  5. Denise, J. (2024). Recent Developments in Adaptive Optics for Laser Beam Shaping. Journal of Lasers, Optics & Photonics. DOI:10.37421/2469-410X.2024.11.125. https://www.hilarispublisher.com/open-access/recent-developments-in-adaptive-optics-for-laser-beam-shaping.pdf
  6. Bremer, S. J. et al. (2024). Design and implementation of dynamic beam shaping in high power laser processing by means of a Deformable Mirror. Optics & Laser Technology, 177, 111066. DOI:10.1016/j.optlastec.2024.111066. https://www.sciencedirect.com/science/article/pii/S0030399224005243
  7. Zhou, H. et al. (2026). Multi-plane light conversion coherent beam combining. High Power Laser Science and Engineering, 14, 8. DOI:10.1017/hpl.2025.10095. https://www.cambridge.org/core/journals/high-power-laser-science-and-engineering/article/multiplane-light-conversion-coherent-beam-combining/9D930CA5860601011B36EC897D8C4B43
  8. Bremer, L. et al. (2025). Mathematical analysis of dynamic high power laser beam shaping using Galvanometer Scanners or Deformable Mirrors. Optics & Laser Technology. DOI:10.1016/j.optlastec.2024.112356. https://research.utwente.nl/en/publications/mathematical-analysis-of-dynamic-high-power-laser-beam-shaping-us/
  9. Chen, Z. et al. (2026). A review of beam shaping technology in laser welding applications. Int J Adv Manuf Technol 143, 1133–1160. DOI:10.1007/s00170-026-17571-2. https://link.springer.com/article/10.1007/s00170-026-17571-2

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

Ankit Singh

Written by

Ankit Singh

Ankit is a research scholar based in Mumbai, India, specializing in neuronal membrane biophysics. He holds a Bachelor of Science degree in Chemistry and has a keen interest in building scientific instruments. He is also passionate about content writing and can adeptly convey complex concepts. Outside of academia, Ankit enjoys sports, reading books, and exploring documentaries, and has a particular interest in credit cards and finance. He also finds relaxation and inspiration in music, especially songs and ghazals.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Singh, Ankit. (2026, July 30). Top Beam Shaping Technologies for High-Power Laser Applications in 2026. AZoOptics. Retrieved on July 30, 2026 from https://www.azooptics.com/Article.aspx?ArticleID=2934.

  • MLA

    Singh, Ankit. "Top Beam Shaping Technologies for High-Power Laser Applications in 2026". AZoOptics. 30 July 2026. <https://www.azooptics.com/Article.aspx?ArticleID=2934>.

  • Chicago

    Singh, Ankit. "Top Beam Shaping Technologies for High-Power Laser Applications in 2026". AZoOptics. https://www.azooptics.com/Article.aspx?ArticleID=2934. (accessed July 30, 2026).

  • Harvard

    Singh, Ankit. 2026. Top Beam Shaping Technologies for High-Power Laser Applications in 2026. AZoOptics, viewed 30 July 2026, https://www.azooptics.com/Article.aspx?ArticleID=2934.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this article?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.