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Record W4413758105 · doi:10.1063/5.0278034

Gigawatt level, 10 fs high efficiency visible pulse generation

2025· article· en· W4413758105 on OpenAlexaff
Pedram Abdolghader, Marco Scaglia, Étienne Doiron, Maksym Ivanov, Madhu Beniwal, G. Tempea, Ximeng Zheng, Pooya Abdolghader, Giulio Vampa, Bruno E. Schmidt

Bibliographic record

VenueAPL Photonics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLaser-Matter Interactions and Applications
Canadian institutionsNational Research Council CanadaMax Planck - University of Ottawa Centre for Extreme and Quantum PhotonicsConcordia UniversityInstitut National de la Recherche ScientifiqueHydro-Québec
Fundersnot available
KeywordsPulse (music)Materials scienceOptoelectronicsOpticsPhysics

Abstract

fetched live from OpenAlex

We present a robust approach capable of generating ultrashort pulses in the visible (VIS) spectral range through second-harmonic generation of broadened pulses centered at around 1030 nm. Tunable VIS pulses with durations as short as 10 fs, sub-20 fs, and sub-50 fs across the 420–600 nm range are achieved by spectrally broadening the 1030 nm output employing a dual-stage hollow-core fiber setup, followed by frequency doubling in cascaded beta barium borate (β-BaB2O4, BBO) crystals. The system delivers pulse energies ranging from a few to above hundred microjoules at repetition rates ranging between 10 and 100 kHz, while maintaining excellent beam quality and power stability over several hours of continuous operation. These characteristics make the source highly suitable for applications in ultrafast spectroscopy, nonlinear optics, and strong-field physics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.280
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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