ArticleNature communications2018
Customizing supercontinuum generation via on-chip adaptive temporal pulse-splitting.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
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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.
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Who cites it
9 citing papers in PubMed.
- Programmable liquid-core fibers: Reconfigurable local dispersion control for computationally optimized ultrafast supercontinuum generation.Nature communications · 2025Article
- Deep learning prediction of noise-driven nonlinear instabilities in fibre optics.Nature communications · 2025Article
- Modulation instability control via evolutionarily optimized optical seeding.Nanophotonics (Berlin, Germany) · 2025Article
- Quantum key distribution implemented with d-level time-bin entangled photons.Nature communications · 2025Article
- Pulse-doubling perovskite nanowire lasers enabled by phonon-assisted multistep energy funneling.Light, science & applications · 2024Article
- Neuromorphic Computing via Fission-based Broadband Frequency Generation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Single-Photon Level Dispersive Fourier Transform: Ultrasensitive Characterization of Noise-Driven Nonlinear Dynamics.ACS photonics · 2023Article
- Supercontinuum in integrated photonics: generation, applications, challenges, and perspectives.Nanophotonics (Berlin, Germany) · 2023Review
- Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modern optical systems increasingly rely on complex physical processes that require accessible control to meet target performance characteristics. In particular, advanced light sources, sought for, for example, imaging and metrology, are based on nonlinear optical dynamics whose output properties must often finely match application requirements. However, in these systems, the availability of control parameters (e.g., the optical field shape, as well as propagation medium properties) and the means to adjust them in a versatile manner are usually limited. Moreover, numerically finding the optimal parameter set for such complex dynamics is typically computationally intractable. Here, we use an actively controlled photonic chip to prepare and manipulate patterns of femtosecond optical pulses that give access to an enhanced parameter space in the framework of supercontinuum generation. Taking advantage of machine learning concepts, we exploit this tunable access and experimentally demonstrate the customization of nonlinear interactions for tailoring supercontinuum properties.
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.