Photonic reservoir computing based on nonlinear wave dynamics at microscale Article Swipe
Satoshi Sunada
,
Atsushi Uchida
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-019-55247-y
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-019-55247-y
High-dimensional nonlinear dynamical systems, including neural networks, can be utilized as computational resources for information processing. In this sense, nonlinear wave systems are good candidates for such computational resources. Here, we propose and numerically demonstrate information processing based on nonlinear wave dynamics in microcavity lasers, i.e., optical spatiotemporal systems at microscale. A remarkable feature is its ability of high-dimensional and nonlinear mapping of input information to the wave states, enabling efficient and fast information processing at microscale. We show that the computational capability for nonlinear/memory tasks is maximized at the edge of dynamical stability. Moreover, we show that computational capability can be enhanced by applying a time-division multiplexing technique to the wave dynamics. Thus, the computational potential of the wave dynamics can sufficiently be extracted even when the number of detectors to monitor the wave states is limited. In addition, we discuss the merging of optical information processing with optical sensing, revealing a novel method for model-free sensing by using a microcavity reservoir as a sensing element. These results pave a way for on-chip photonic computing with high-dimensional dynamics and a model-free sensing method.
Related Topics
Concepts
Microscale chemistry
Nonlinear system
Reservoir computing
Computer science
Photonics
Information processing
Artificial neural network
Computational science
Electronic engineering
Physics
Artificial intelligence
Optics
Recurrent neural network
Engineering
Mathematics
Quantum mechanics
Neuroscience
Biology
Mathematics education
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-019-55247-y
- https://www.nature.com/articles/s41598-019-55247-y.pdf
- OA Status
- gold
- Cited By
- 55
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2996409363
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2996409363Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-019-55247-yDigital Object Identifier
- Title
-
Photonic reservoir computing based on nonlinear wave dynamics at microscaleWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-12-13Full publication date if available
- Authors
-
Satoshi Sunada, Atsushi UchidaList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-019-55247-yPublisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-019-55247-y.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-019-55247-y.pdfDirect OA link when available
- Concepts
-
Microscale chemistry, Nonlinear system, Reservoir computing, Computer science, Photonics, Information processing, Artificial neural network, Computational science, Electronic engineering, Physics, Artificial intelligence, Optics, Recurrent neural network, Engineering, Mathematics, Quantum mechanics, Neuroscience, Biology, Mathematics educationTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
55Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 11, 2024: 11, 2023: 15, 2022: 2, 2021: 10Per-year citation counts (last 5 years)
- References (count)
-
41Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2996409363 |
|---|---|
| doi | https://doi.org/10.1038/s41598-019-55247-y |
| ids.doi | https://doi.org/10.1038/s41598-019-55247-y |
| ids.mag | 2996409363 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/31836737 |
| ids.openalex | https://openalex.org/W2996409363 |
| fwci | 2.76511942 |
| type | article |
| title | Photonic reservoir computing based on nonlinear wave dynamics at microscale |
| awards[0].id | https://openalex.org/G7554712568 |
| awards[0].funder_id | https://openalex.org/F4320334764 |
| awards[0].display_name | |
| awards[0].funder_award_id | KAKENHI JP16K04974 |
| awards[0].funder_display_name | Japan Society for the Promotion of Science |
| awards[1].id | https://openalex.org/G8304086941 |
| awards[1].funder_id | https://openalex.org/F4320334764 |
| awards[1].display_name | |
| awards[1].funder_award_id | KAKENHI JP19H00868 |
| awards[1].funder_display_name | Japan Society for the Promotion of Science |
| biblio.issue | 1 |
| biblio.volume | 9 |
| biblio.last_page | 19078 |
| biblio.first_page | 19078 |
| topics[0].id | https://openalex.org/T12611 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Neural Networks and Reservoir Computing |
| topics[1].id | https://openalex.org/T10299 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9972000122070312 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2208 |
| topics[1].subfield.display_name | Electrical and Electronic Engineering |
| topics[1].display_name | Photonic and Optical Devices |
| topics[2].id | https://openalex.org/T10232 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9952999949455261 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2208 |
| topics[2].subfield.display_name | Electrical and Electronic Engineering |
| topics[2].display_name | Optical Network Technologies |
| funders[0].id | https://openalex.org/F4320322617 |
| funders[0].ror | https://ror.org/01enbtr31 |
| funders[0].display_name | Okawa Foundation for Information and Telecommunications |
| funders[1].id | https://openalex.org/F4320334764 |
| funders[1].ror | https://ror.org/00hhkn466 |
| funders[1].display_name | Japan Society for the Promotion of Science |
| is_xpac | False |
| apc_list.value | 1890 |
| apc_list.currency | EUR |
| apc_list.value_usd | 2190 |
| apc_paid.value | 1890 |
| apc_paid.currency | EUR |
| apc_paid.value_usd | 2190 |
| concepts[0].id | https://openalex.org/C179428855 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8743122816085815 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1069216 |
| concepts[0].display_name | Microscale chemistry |
| concepts[1].id | https://openalex.org/C158622935 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6900022625923157 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q660848 |
| concepts[1].display_name | Nonlinear system |
| concepts[2].id | https://openalex.org/C135796866 |
| concepts[2].level | 4 |
| concepts[2].score | 0.6890349388122559 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q7315328 |
| concepts[2].display_name | Reservoir computing |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.6773504018783569 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C20788544 |
| concepts[4].level | 2 |
| concepts[4].score | 0.6271393895149231 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q467054 |
| concepts[4].display_name | Photonics |
| concepts[5].id | https://openalex.org/C87868495 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4100406765937805 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q750843 |
| concepts[5].display_name | Information processing |
| concepts[6].id | https://openalex.org/C50644808 |
| concepts[6].level | 2 |
| concepts[6].score | 0.3742902874946594 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q192776 |
| concepts[6].display_name | Artificial neural network |
| concepts[7].id | https://openalex.org/C459310 |
| concepts[7].level | 1 |
| concepts[7].score | 0.3452731966972351 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q117801 |
| concepts[7].display_name | Computational science |
| concepts[8].id | https://openalex.org/C24326235 |
| concepts[8].level | 1 |
| concepts[8].score | 0.32036682963371277 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q126095 |
| concepts[8].display_name | Electronic engineering |
| concepts[9].id | https://openalex.org/C121332964 |
| concepts[9].level | 0 |
| concepts[9].score | 0.24101999402046204 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[9].display_name | Physics |
| concepts[10].id | https://openalex.org/C154945302 |
| concepts[10].level | 1 |
| concepts[10].score | 0.23615941405296326 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[10].display_name | Artificial intelligence |
| concepts[11].id | https://openalex.org/C120665830 |
| concepts[11].level | 1 |
| concepts[11].score | 0.19611197710037231 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q14620 |
| concepts[11].display_name | Optics |
| concepts[12].id | https://openalex.org/C147168706 |
| concepts[12].level | 3 |
| concepts[12].score | 0.1270086169242859 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q1457734 |
| concepts[12].display_name | Recurrent neural network |
| concepts[13].id | https://openalex.org/C127413603 |
| concepts[13].level | 0 |
| concepts[13].score | 0.08784496784210205 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[13].display_name | Engineering |
| concepts[14].id | https://openalex.org/C33923547 |
| concepts[14].level | 0 |
| concepts[14].score | 0.07697567343711853 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[14].display_name | Mathematics |
| concepts[15].id | https://openalex.org/C62520636 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[15].display_name | Quantum mechanics |
| concepts[16].id | https://openalex.org/C169760540 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q207011 |
| concepts[16].display_name | Neuroscience |
| concepts[17].id | https://openalex.org/C86803240 |
| concepts[17].level | 0 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[17].display_name | Biology |
| concepts[18].id | https://openalex.org/C145420912 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q853077 |
| concepts[18].display_name | Mathematics education |
| keywords[0].id | https://openalex.org/keywords/microscale-chemistry |
| keywords[0].score | 0.8743122816085815 |
| keywords[0].display_name | Microscale chemistry |
| keywords[1].id | https://openalex.org/keywords/nonlinear-system |
| keywords[1].score | 0.6900022625923157 |
| keywords[1].display_name | Nonlinear system |
| keywords[2].id | https://openalex.org/keywords/reservoir-computing |
| keywords[2].score | 0.6890349388122559 |
| keywords[2].display_name | Reservoir computing |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.6773504018783569 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/photonics |
| keywords[4].score | 0.6271393895149231 |
| keywords[4].display_name | Photonics |
| keywords[5].id | https://openalex.org/keywords/information-processing |
| keywords[5].score | 0.4100406765937805 |
| keywords[5].display_name | Information processing |
| keywords[6].id | https://openalex.org/keywords/artificial-neural-network |
| keywords[6].score | 0.3742902874946594 |
| keywords[6].display_name | Artificial neural network |
| keywords[7].id | https://openalex.org/keywords/computational-science |
| keywords[7].score | 0.3452731966972351 |
| keywords[7].display_name | Computational science |
| keywords[8].id | https://openalex.org/keywords/electronic-engineering |
| keywords[8].score | 0.32036682963371277 |
| keywords[8].display_name | Electronic engineering |
| keywords[9].id | https://openalex.org/keywords/physics |
| keywords[9].score | 0.24101999402046204 |
| keywords[9].display_name | Physics |
| keywords[10].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[10].score | 0.23615941405296326 |
| keywords[10].display_name | Artificial intelligence |
| keywords[11].id | https://openalex.org/keywords/optics |
| keywords[11].score | 0.19611197710037231 |
| keywords[11].display_name | Optics |
| keywords[12].id | https://openalex.org/keywords/recurrent-neural-network |
| keywords[12].score | 0.1270086169242859 |
| keywords[12].display_name | Recurrent neural network |
| keywords[13].id | https://openalex.org/keywords/engineering |
| keywords[13].score | 0.08784496784210205 |
| keywords[13].display_name | Engineering |
| keywords[14].id | https://openalex.org/keywords/mathematics |
| keywords[14].score | 0.07697567343711853 |
| keywords[14].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.1038/s41598-019-55247-y |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S196734849 |
| locations[0].source.issn | 2045-2322 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2045-2322 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Scientific Reports |
| locations[0].source.host_organization | https://openalex.org/P4310319908 |
| locations[0].source.host_organization_name | Nature Portfolio |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319908, https://openalex.org/P4310319965 |
| locations[0].source.host_organization_lineage_names | Nature Portfolio, Springer Nature |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.nature.com/articles/s41598-019-55247-y.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Scientific Reports |
| locations[0].landing_page_url | https://doi.org/10.1038/s41598-019-55247-y |
| locations[1].id | pmid:31836737 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Scientific reports |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/31836737 |
| locations[2].id | pmh:oai:doaj.org/article:aa9682fcbd814200ad02c08d9898feae |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019) |
| locations[2].landing_page_url | https://doaj.org/article/aa9682fcbd814200ad02c08d9898feae |
| locations[3].id | pmh:oai:europepmc.org:5868505 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S4306400806 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | Europe PMC (PubMed Central) |
| locations[3].source.host_organization | https://openalex.org/I1303153112 |
| locations[3].source.host_organization_name | European Bioinformatics Institute |
| locations[3].source.host_organization_lineage | https://openalex.org/I1303153112 |
| locations[3].license | other-oa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/other-oa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/6911076 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5044971688 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-0466-8529 |
| authorships[0].author.display_name | Satoshi Sunada |
| authorships[0].countries | JP |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I10091056 |
| authorships[0].affiliations[0].raw_affiliation_string | Faculty of Mechanical Engineering, Institute of Science and Engineering, Kanazawa University, Kakuma-machi Kanazawa, Ishikawa, 920-1192, Japan |
| authorships[0].institutions[0].id | https://openalex.org/I10091056 |
| authorships[0].institutions[0].ror | https://ror.org/02hwp6a56 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I10091056 |
| authorships[0].institutions[0].country_code | JP |
| authorships[0].institutions[0].display_name | Kanazawa University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Satoshi Sunada |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Faculty of Mechanical Engineering, Institute of Science and Engineering, Kanazawa University, Kakuma-machi Kanazawa, Ishikawa, 920-1192, Japan |
| authorships[1].author.id | https://openalex.org/A5004119695 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-4654-8616 |
| authorships[1].author.display_name | Atsushi Uchida |
| authorships[1].countries | JP |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I72253084 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Information and Computer Sciences, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama City, Saitama, 338-8570, Japan |
| authorships[1].institutions[0].id | https://openalex.org/I72253084 |
| authorships[1].institutions[0].ror | https://ror.org/02evnh647 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I72253084 |
| authorships[1].institutions[0].country_code | JP |
| authorships[1].institutions[0].display_name | Saitama University |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Atsushi Uchida |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Information and Computer Sciences, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama City, Saitama, 338-8570, Japan |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.nature.com/articles/s41598-019-55247-y.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Photonic reservoir computing based on nonlinear wave dynamics at microscale |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12611 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Neural Networks and Reservoir Computing |
| related_works | https://openalex.org/W1979808816, https://openalex.org/W2378045033, https://openalex.org/W2465699412, https://openalex.org/W2381864073, https://openalex.org/W2092867183, https://openalex.org/W4286285965, https://openalex.org/W1565353949, https://openalex.org/W2800451723, https://openalex.org/W3211337007, https://openalex.org/W4301090890 |
| cited_by_count | 55 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 11 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 11 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 15 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 2 |
| counts_by_year[4].year | 2021 |
| counts_by_year[4].cited_by_count | 10 |
| counts_by_year[5].year | 2020 |
| counts_by_year[5].cited_by_count | 6 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1038/s41598-019-55247-y |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S196734849 |
| best_oa_location.source.issn | 2045-2322 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2045-2322 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Scientific Reports |
| best_oa_location.source.host_organization | https://openalex.org/P4310319908 |
| best_oa_location.source.host_organization_name | Nature Portfolio |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319908, https://openalex.org/P4310319965 |
| best_oa_location.source.host_organization_lineage_names | Nature Portfolio, Springer Nature |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.nature.com/articles/s41598-019-55247-y.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Scientific Reports |
| best_oa_location.landing_page_url | https://doi.org/10.1038/s41598-019-55247-y |
| primary_location.id | doi:10.1038/s41598-019-55247-y |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S196734849 |
| primary_location.source.issn | 2045-2322 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2045-2322 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Scientific Reports |
| primary_location.source.host_organization | https://openalex.org/P4310319908 |
| primary_location.source.host_organization_name | Nature Portfolio |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319908, https://openalex.org/P4310319965 |
| primary_location.source.host_organization_lineage_names | Nature Portfolio, Springer Nature |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.nature.com/articles/s41598-019-55247-y.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Scientific Reports |
| primary_location.landing_page_url | https://doi.org/10.1038/s41598-019-55247-y |
| publication_date | 2019-12-13 |
| publication_year | 2019 |
| referenced_works | https://openalex.org/W2036451492, https://openalex.org/W2118706537, https://openalex.org/W2103179919, https://openalex.org/W2113132555, https://openalex.org/W2613833839, https://openalex.org/W2772397789, https://openalex.org/W2789326804, https://openalex.org/W2268464208, https://openalex.org/W2887258823, https://openalex.org/W1965702053, https://openalex.org/W2587524409, https://openalex.org/W2029939668, https://openalex.org/W2898551707, https://openalex.org/W2792677840, https://openalex.org/W2079329690, https://openalex.org/W1977664984, https://openalex.org/W2329961282, https://openalex.org/W2021890002, https://openalex.org/W215835628, https://openalex.org/W2146823643, https://openalex.org/W2319274180, https://openalex.org/W2157315058, https://openalex.org/W2885778751, https://openalex.org/W2051366848, https://openalex.org/W2082529554, https://openalex.org/W2066140867, https://openalex.org/W2332425807, https://openalex.org/W2745578724, https://openalex.org/W2256527444, https://openalex.org/W1993248416, https://openalex.org/W2337087938, https://openalex.org/W2410270898, https://openalex.org/W1549386224, https://openalex.org/W2789580836, https://openalex.org/W2111072639, https://openalex.org/W2130163349, https://openalex.org/W2057890768, https://openalex.org/W2598259958, https://openalex.org/W3101653831, https://openalex.org/W3101465594, https://openalex.org/W2906440978 |
| referenced_works_count | 41 |
| abstract_inverted_index.A | 52 |
| abstract_inverted_index.a | 106, 153, 161, 165, 171, 181 |
| abstract_inverted_index.In | 17, 139 |
| abstract_inverted_index.We | 78 |
| abstract_inverted_index.as | 11, 164 |
| abstract_inverted_index.at | 50, 76, 89 |
| abstract_inverted_index.be | 9, 102, 124 |
| abstract_inverted_index.by | 104, 159 |
| abstract_inverted_index.in | 43 |
| abstract_inverted_index.is | 55, 87, 137 |
| abstract_inverted_index.of | 58, 63, 92, 118, 130, 145 |
| abstract_inverted_index.on | 39 |
| abstract_inverted_index.to | 66, 110, 132 |
| abstract_inverted_index.we | 31, 96, 141 |
| abstract_inverted_index.and | 33, 60, 72, 180 |
| abstract_inverted_index.are | 23 |
| abstract_inverted_index.can | 8, 101, 122 |
| abstract_inverted_index.for | 14, 26, 84, 156, 173 |
| abstract_inverted_index.its | 56 |
| abstract_inverted_index.the | 67, 81, 90, 111, 115, 119, 128, 134, 143 |
| abstract_inverted_index.way | 172 |
| abstract_inverted_index.edge | 91 |
| abstract_inverted_index.even | 126 |
| abstract_inverted_index.fast | 73 |
| abstract_inverted_index.good | 24 |
| abstract_inverted_index.pave | 170 |
| abstract_inverted_index.show | 79, 97 |
| abstract_inverted_index.such | 27 |
| abstract_inverted_index.that | 80, 98 |
| abstract_inverted_index.this | 18 |
| abstract_inverted_index.wave | 21, 41, 68, 112, 120, 135 |
| abstract_inverted_index.when | 127 |
| abstract_inverted_index.with | 149, 177 |
| abstract_inverted_index.Here, | 30 |
| abstract_inverted_index.These | 168 |
| abstract_inverted_index.Thus, | 114 |
| abstract_inverted_index.based | 38 |
| abstract_inverted_index.i.e., | 46 |
| abstract_inverted_index.input | 64 |
| abstract_inverted_index.novel | 154 |
| abstract_inverted_index.tasks | 86 |
| abstract_inverted_index.using | 160 |
| abstract_inverted_index.method | 155 |
| abstract_inverted_index.neural | 6 |
| abstract_inverted_index.number | 129 |
| abstract_inverted_index.sense, | 19 |
| abstract_inverted_index.states | 136 |
| abstract_inverted_index.ability | 57 |
| abstract_inverted_index.discuss | 142 |
| abstract_inverted_index.feature | 54 |
| abstract_inverted_index.lasers, | 45 |
| abstract_inverted_index.mapping | 62 |
| abstract_inverted_index.merging | 144 |
| abstract_inverted_index.method. | 184 |
| abstract_inverted_index.monitor | 133 |
| abstract_inverted_index.on-chip | 174 |
| abstract_inverted_index.optical | 47, 146, 150 |
| abstract_inverted_index.propose | 32 |
| abstract_inverted_index.results | 169 |
| abstract_inverted_index.sensing | 158, 166, 183 |
| abstract_inverted_index.states, | 69 |
| abstract_inverted_index.systems | 22, 49 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.applying | 105 |
| abstract_inverted_index.dynamics | 42, 121, 179 |
| abstract_inverted_index.element. | 167 |
| abstract_inverted_index.enabling | 70 |
| abstract_inverted_index.enhanced | 103 |
| abstract_inverted_index.limited. | 138 |
| abstract_inverted_index.photonic | 175 |
| abstract_inverted_index.sensing, | 151 |
| abstract_inverted_index.systems, | 4 |
| abstract_inverted_index.utilized | 10 |
| abstract_inverted_index.Moreover, | 95 |
| abstract_inverted_index.addition, | 140 |
| abstract_inverted_index.computing | 176 |
| abstract_inverted_index.detectors | 131 |
| abstract_inverted_index.dynamical | 3, 93 |
| abstract_inverted_index.dynamics. | 113 |
| abstract_inverted_index.efficient | 71 |
| abstract_inverted_index.extracted | 125 |
| abstract_inverted_index.including | 5 |
| abstract_inverted_index.maximized | 88 |
| abstract_inverted_index.networks, | 7 |
| abstract_inverted_index.nonlinear | 2, 20, 40, 61 |
| abstract_inverted_index.potential | 117 |
| abstract_inverted_index.reservoir | 163 |
| abstract_inverted_index.resources | 13 |
| abstract_inverted_index.revealing | 152 |
| abstract_inverted_index.technique | 109 |
| abstract_inverted_index.candidates | 25 |
| abstract_inverted_index.capability | 83, 100 |
| abstract_inverted_index.model-free | 157, 182 |
| abstract_inverted_index.processing | 37, 75, 148 |
| abstract_inverted_index.remarkable | 53 |
| abstract_inverted_index.resources. | 29 |
| abstract_inverted_index.stability. | 94 |
| abstract_inverted_index.demonstrate | 35 |
| abstract_inverted_index.information | 15, 36, 65, 74, 147 |
| abstract_inverted_index.microcavity | 44, 162 |
| abstract_inverted_index.microscale. | 51, 77 |
| abstract_inverted_index.numerically | 34 |
| abstract_inverted_index.processing. | 16 |
| abstract_inverted_index.multiplexing | 108 |
| abstract_inverted_index.sufficiently | 123 |
| abstract_inverted_index.computational | 12, 28, 82, 99, 116 |
| abstract_inverted_index.time-division | 107 |
| abstract_inverted_index.spatiotemporal | 48 |
| abstract_inverted_index.High-dimensional | 1 |
| abstract_inverted_index.high-dimensional | 59, 178 |
| abstract_inverted_index.nonlinear/memory | 85 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5044971688 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I10091056 |
| citation_normalized_percentile.value | 0.92224118 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |