Self-emergence of robust solitons in a microcavity Article Swipe
Maxwell Rowley
,
Pierre-Henry Hanzard
,
Antonio Cutrona
,
Hualong Bao
,
Sai T. Chu
,
Brent E. Little
,
Roberto Morandotti
,
David Moss
,
Gian‐Luca Oppo
,
Juan Sebastian Totero Gongora
,
Marco Peccianti
,
Alessia Pasquazi
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1038/s41586-022-04957-x
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1038/s41586-022-04957-x
In many disciplines, states that emerge in open systems far from equilibrium are determined by a few global parameters 1,2 . These states can often mimic thermodynamic equilibrium, a classic example being the oscillation threshold of a laser 3 that resembles a phase transition in condensed matter. However, many classes of states cannot form spontaneously in dissipative systems, and this is the case for cavity solitons 2 that generally need to be induced by external perturbations, as in the case of optical memories 4,5 . In the past decade, these highly localized states have enabled important advancements in microresonator-based optical frequency combs 6,7 . However, the very advantages that make cavity solitons attractive for memories—their inability to form spontaneously from noise—have created fundamental challenges. As sources, microcombs require spontaneous and reliable initiation into a desired state that is intrinsically robust 8–20 . Here we show that the slow non-linearities of a free-running microresonator-filtered fibre laser 21 can transform temporal cavity solitons into the system’s dominant attractor. This phenomenon leads to reliable self-starting oscillation of microcavity solitons that are naturally robust to perturbations, recovering spontaneously even after complete disruption. These emerge repeatably and controllably into a large region of the global system parameter space in which specific states, highly stable over long timeframes, can be achieved.
Related Topics
Concepts
Dissipative system
Attractor
Physics
Parameter space
Oscillation (cell signaling)
Phase transition
Noise (video)
State (computer science)
Statistical physics
Classical mechanics
Quantum mechanics
Computer science
Chemistry
Artificial intelligence
Image (mathematics)
Mathematics
Statistics
Algorithm
Biochemistry
Mathematical analysis
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41586-022-04957-x
- https://www.nature.com/articles/s41586-022-04957-x.pdf
- OA Status
- hybrid
- Cited By
- 285
- References
- 76
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4291020776
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4291020776Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41586-022-04957-xDigital Object Identifier
- Title
-
Self-emergence of robust solitons in a microcavityWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-10Full publication date if available
- Authors
-
Maxwell Rowley, Pierre-Henry Hanzard, Antonio Cutrona, Hualong Bao, Sai T. Chu, Brent E. Little, Roberto Morandotti, David Moss, Gian‐Luca Oppo, Juan Sebastian Totero Gongora, Marco Peccianti, Alessia PasquaziList of authors in order
- Landing page
-
https://doi.org/10.1038/s41586-022-04957-xPublisher landing page
- PDF URL
-
https://www.nature.com/articles/s41586-022-04957-x.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
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https://www.nature.com/articles/s41586-022-04957-x.pdfDirect OA link when available
- Concepts
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Dissipative system, Attractor, Physics, Parameter space, Oscillation (cell signaling), Phase transition, Noise (video), State (computer science), Statistical physics, Classical mechanics, Quantum mechanics, Computer science, Chemistry, Artificial intelligence, Image (mathematics), Mathematics, Statistics, Algorithm, Biochemistry, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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285Total citation count in OpenAlex
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2025: 34, 2024: 88, 2023: 140, 2022: 23Per-year citation counts (last 5 years)
- References (count)
-
76Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.disruption. | 188 |
| abstract_inverted_index.dissipative | 57 |
| abstract_inverted_index.equilibrium | 12 |
| abstract_inverted_index.fundamental | 123 |
| abstract_inverted_index.microcavity | 175 |
| abstract_inverted_index.oscillation | 34, 173 |
| abstract_inverted_index.spontaneous | 129 |
| abstract_inverted_index.timeframes, | 212 |
| abstract_inverted_index.advancements | 97 |
| abstract_inverted_index.controllably | 193 |
| abstract_inverted_index.disciplines, | 3 |
| abstract_inverted_index.equilibrium, | 28 |
| abstract_inverted_index.free-running | 152 |
| abstract_inverted_index.noise—have | 121 |
| abstract_inverted_index.intrinsically | 139 |
| abstract_inverted_index.self-starting | 172 |
| abstract_inverted_index.spontaneously | 55, 119, 184 |
| abstract_inverted_index.thermodynamic | 27 |
| abstract_inverted_index.perturbations, | 76, 182 |
| abstract_inverted_index.non-linearities | 149 |
| abstract_inverted_index.memories—their | 115 |
| abstract_inverted_index.microresonator-based | 99 |
| abstract_inverted_index.microresonator-filtered | 153 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| countries_distinct_count | 5 |
| institutions_distinct_count | 12 |
| citation_normalized_percentile.value | 0.99949445 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |