ArticleScientific reports2025
Modeling highly efficient femtosecond laser ablation of aluminum for cutting.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Machine Learning-Based Prediction of Ablation Groove Geometry and Heat-Affected Zone Formation in Femtosecond Laser Micromachining of Aluminum.Materials (Basel, Switzerland) · 2026Article
- Coupling mechanism of dynamic incidence angle and multipulse accumulation in femtosecond laser ablation of complex spatial surfaces.Scientific reports · 2026Article
- Designing Multifunctional Microneedles in Biomedical Engineering: Materials, Methods, and Applications.International journal of nanomedicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article presents high-efficiency ablation of aluminum using femtosecond laser processing with a pulse duration of 300 fs and a laser wavelength of 1035 nm. A series of stationary irradiation experiments were conducted at repetition rates f
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.