Periodic orbits in chaotic systems simulated at low precision Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-023-37004-4
Non-periodic solutions are an essential property of chaotic dynamical systems. Simulations with deterministic finite-precision numbers, however, always yield orbits that are eventually periodic. With 64-bit double-precision floating-point numbers such periodic orbits are typically negligible due to very long periods. The emerging trend to accelerate simulations with low-precision numbers, such as 16-bit half-precision floats, raises questions on the fidelity of such simulations of chaotic systems. Here, we revisit the 1-variable logistic map and the generalised Bernoulli map with various number formats and precisions: floats, posits and logarithmic fixed-point. Simulations are improved with higher precision but stochastic rounding prevents periodic orbits even at low precision. For larger systems the performance gain from low-precision simulations is often reinvested in higher resolution or complexity, increasing the number of variables. In the Lorenz 1996 system, the period lengths of orbits increase exponentially with the number of variables. Moreover, invariant measures are better approximated with an increased number of variables than with increased precision. Extrapolating to large simulations of natural systems, such as million-variable climate models, periodic orbit lengths are far beyond reach of present-day computers. Such orbits are therefore not expected to be problematic compared to high-precision simulations but the deviation of both from the continuum solution remains unclear.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-023-37004-4
- https://www.nature.com/articles/s41598-023-37004-4.pdf
- OA Status
- gold
- Cited By
- 15
- References
- 61
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4384338358
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4384338358Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-023-37004-4Digital Object Identifier
- Title
-
Periodic orbits in chaotic systems simulated at low precisionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-07-14Full publication date if available
- Authors
-
Milan Klöwer, Peter V. Coveney, E. Adam Paxton, T. N. PalmerList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-023-37004-4Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-023-37004-4.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/s41598-023-37004-4.pdfDirect OA link when available
- Concepts
-
Rounding, Chaotic, Variable (mathematics), Double-precision floating-point format, Computer science, Logarithm, Orbit (dynamics), Bernoulli's principle, Dynamical systems theory, Lorenz system, Mathematics, Algorithm, Statistical physics, Floating point, Applied mathematics, Physics, Mathematical analysis, Quantum mechanics, Operating system, Aerospace engineering, Engineering, Artificial intelligence, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
15Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 11Per-year citation counts (last 5 years)
- References (count)
-
61Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4384338358 |
|---|---|
| doi | https://doi.org/10.1038/s41598-023-37004-4 |
| ids.doi | https://doi.org/10.1038/s41598-023-37004-4 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/37452044 |
| ids.openalex | https://openalex.org/W4384338358 |
| fwci | 2.7295251 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D017711 |
| mesh[0].is_major_topic | True |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Nonlinear Dynamics |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D008393 |
| mesh[1].is_major_topic | True |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Marriage |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D017711 |
| mesh[2].is_major_topic | True |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Nonlinear Dynamics |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D008393 |
| mesh[3].is_major_topic | True |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Marriage |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D017711 |
| mesh[4].is_major_topic | True |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Nonlinear Dynamics |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D008393 |
| mesh[5].is_major_topic | True |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Marriage |
| type | article |
| title | Periodic orbits in chaotic systems simulated at low precision |
| awards[0].id | https://openalex.org/G7878237017 |
| awards[0].funder_id | https://openalex.org/F4320338453 |
| awards[0].display_name | |
| awards[0].funder_award_id | 741112 |
| awards[0].funder_display_name | HORIZON EUROPE European Research Council |
| awards[1].id | https://openalex.org/G2190274758 |
| awards[1].funder_id | https://openalex.org/F4320314731 |
| awards[1].display_name | |
| awards[1].funder_award_id | EP/R029598/1 |
| awards[1].funder_display_name | UK Research and Innovation |
| awards[2].id | https://openalex.org/G4525004930 |
| awards[2].funder_id | https://openalex.org/F4320314731 |
| awards[2].display_name | |
| awards[2].funder_award_id | NE/L002612/1 |
| awards[2].funder_display_name | UK Research and Innovation |
| awards[3].id | https://openalex.org/G4330471318 |
| awards[3].funder_id | https://openalex.org/F4320338453 |
| awards[3].display_name | |
| awards[3].funder_award_id | 800925 |
| awards[3].funder_display_name | HORIZON EUROPE European Research Council |
| awards[4].id | https://openalex.org/G8349640192 |
| awards[4].funder_id | https://openalex.org/F4320334627 |
| awards[4].display_name | |
| awards[4].funder_award_id | EP/R029598/1 |
| awards[4].funder_display_name | Engineering and Physical Sciences Research Council |
| biblio.issue | 1 |
| biblio.volume | 13 |
| biblio.last_page | 11410 |
| biblio.first_page | 11410 |
| topics[0].id | https://openalex.org/T11017 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9908000230789185 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1707 |
| topics[0].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[0].display_name | Chaos-based Image/Signal Encryption |
| topics[1].id | https://openalex.org/T13126 |
| topics[1].field.id | https://openalex.org/fields/31 |
| topics[1].field.display_name | Physics and Astronomy |
| topics[1].score | 0.9789000153541565 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/3109 |
| topics[1].subfield.display_name | Statistical and Nonlinear Physics |
| topics[1].display_name | Scientific Research and Discoveries |
| topics[2].id | https://openalex.org/T12162 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9781000018119812 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1703 |
| topics[2].subfield.display_name | Computational Theory and Mathematics |
| topics[2].display_name | Cellular Automata and Applications |
| funders[0].id | https://openalex.org/F4320314731 |
| funders[0].ror | https://ror.org/001aqnf71 |
| funders[0].display_name | UK Research and Innovation |
| funders[1].id | https://openalex.org/F4320334627 |
| funders[1].ror | https://ror.org/0439y7842 |
| funders[1].display_name | Engineering and Physical Sciences Research Council |
| funders[2].id | https://openalex.org/F4320338453 |
| funders[2].ror | |
| funders[2].display_name | HORIZON EUROPE European Research Council |
| 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/C136625980 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6563404202461243 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q663208 |
| concepts[0].display_name | Rounding |
| concepts[1].id | https://openalex.org/C2777052490 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5961186289787292 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q5072826 |
| concepts[1].display_name | Chaotic |
| concepts[2].id | https://openalex.org/C182365436 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5765761733055115 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q50701 |
| concepts[2].display_name | Variable (mathematics) |
| concepts[3].id | https://openalex.org/C35912277 |
| concepts[3].level | 3 |
| concepts[3].score | 0.531062126159668 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1243369 |
| concepts[3].display_name | Double-precision floating-point format |
| concepts[4].id | https://openalex.org/C41008148 |
| concepts[4].level | 0 |
| concepts[4].score | 0.48073434829711914 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[4].display_name | Computer science |
| concepts[5].id | https://openalex.org/C39927690 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4746435582637787 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11197 |
| concepts[5].display_name | Logarithm |
| concepts[6].id | https://openalex.org/C196644772 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4620057940483093 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q3884964 |
| concepts[6].display_name | Orbit (dynamics) |
| concepts[7].id | https://openalex.org/C152361515 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4548034369945526 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q181328 |
| concepts[7].display_name | Bernoulli's principle |
| concepts[8].id | https://openalex.org/C79379906 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4203093349933624 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q3174497 |
| concepts[8].display_name | Dynamical systems theory |
| concepts[9].id | https://openalex.org/C151510863 |
| concepts[9].level | 3 |
| concepts[9].score | 0.41774487495422363 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q899844 |
| concepts[9].display_name | Lorenz system |
| concepts[10].id | https://openalex.org/C33923547 |
| concepts[10].level | 0 |
| concepts[10].score | 0.41068774461746216 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[10].display_name | Mathematics |
| concepts[11].id | https://openalex.org/C11413529 |
| concepts[11].level | 1 |
| concepts[11].score | 0.3794868588447571 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[11].display_name | Algorithm |
| concepts[12].id | https://openalex.org/C121864883 |
| concepts[12].level | 1 |
| concepts[12].score | 0.34024155139923096 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q677916 |
| concepts[12].display_name | Statistical physics |
| concepts[13].id | https://openalex.org/C84211073 |
| concepts[13].level | 2 |
| concepts[13].score | 0.33447501063346863 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q117879 |
| concepts[13].display_name | Floating point |
| concepts[14].id | https://openalex.org/C28826006 |
| concepts[14].level | 1 |
| concepts[14].score | 0.32496926188468933 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q33521 |
| concepts[14].display_name | Applied mathematics |
| concepts[15].id | https://openalex.org/C121332964 |
| concepts[15].level | 0 |
| concepts[15].score | 0.19986668229103088 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[15].display_name | Physics |
| concepts[16].id | https://openalex.org/C134306372 |
| concepts[16].level | 1 |
| concepts[16].score | 0.1943891942501068 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[16].display_name | Mathematical analysis |
| concepts[17].id | https://openalex.org/C62520636 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[17].display_name | Quantum mechanics |
| concepts[18].id | https://openalex.org/C111919701 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[18].display_name | Operating system |
| concepts[19].id | https://openalex.org/C146978453 |
| concepts[19].level | 1 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q3798668 |
| concepts[19].display_name | Aerospace engineering |
| concepts[20].id | https://openalex.org/C127413603 |
| concepts[20].level | 0 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[20].display_name | Engineering |
| concepts[21].id | https://openalex.org/C154945302 |
| concepts[21].level | 1 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[21].display_name | Artificial intelligence |
| concepts[22].id | https://openalex.org/C97355855 |
| concepts[22].level | 1 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q11473 |
| concepts[22].display_name | Thermodynamics |
| keywords[0].id | https://openalex.org/keywords/rounding |
| keywords[0].score | 0.6563404202461243 |
| keywords[0].display_name | Rounding |
| keywords[1].id | https://openalex.org/keywords/chaotic |
| keywords[1].score | 0.5961186289787292 |
| keywords[1].display_name | Chaotic |
| keywords[2].id | https://openalex.org/keywords/variable |
| keywords[2].score | 0.5765761733055115 |
| keywords[2].display_name | Variable (mathematics) |
| keywords[3].id | https://openalex.org/keywords/double-precision-floating-point-format |
| keywords[3].score | 0.531062126159668 |
| keywords[3].display_name | Double-precision floating-point format |
| keywords[4].id | https://openalex.org/keywords/computer-science |
| keywords[4].score | 0.48073434829711914 |
| keywords[4].display_name | Computer science |
| keywords[5].id | https://openalex.org/keywords/logarithm |
| keywords[5].score | 0.4746435582637787 |
| keywords[5].display_name | Logarithm |
| keywords[6].id | https://openalex.org/keywords/orbit |
| keywords[6].score | 0.4620057940483093 |
| keywords[6].display_name | Orbit (dynamics) |
| keywords[7].id | https://openalex.org/keywords/bernoullis-principle |
| keywords[7].score | 0.4548034369945526 |
| keywords[7].display_name | Bernoulli's principle |
| keywords[8].id | https://openalex.org/keywords/dynamical-systems-theory |
| keywords[8].score | 0.4203093349933624 |
| keywords[8].display_name | Dynamical systems theory |
| keywords[9].id | https://openalex.org/keywords/lorenz-system |
| keywords[9].score | 0.41774487495422363 |
| keywords[9].display_name | Lorenz system |
| keywords[10].id | https://openalex.org/keywords/mathematics |
| keywords[10].score | 0.41068774461746216 |
| keywords[10].display_name | Mathematics |
| keywords[11].id | https://openalex.org/keywords/algorithm |
| keywords[11].score | 0.3794868588447571 |
| keywords[11].display_name | Algorithm |
| keywords[12].id | https://openalex.org/keywords/statistical-physics |
| keywords[12].score | 0.34024155139923096 |
| keywords[12].display_name | Statistical physics |
| keywords[13].id | https://openalex.org/keywords/floating-point |
| keywords[13].score | 0.33447501063346863 |
| keywords[13].display_name | Floating point |
| keywords[14].id | https://openalex.org/keywords/applied-mathematics |
| keywords[14].score | 0.32496926188468933 |
| keywords[14].display_name | Applied mathematics |
| keywords[15].id | https://openalex.org/keywords/physics |
| keywords[15].score | 0.19986668229103088 |
| keywords[15].display_name | Physics |
| keywords[16].id | https://openalex.org/keywords/mathematical-analysis |
| keywords[16].score | 0.1943891942501068 |
| keywords[16].display_name | Mathematical analysis |
| language | en |
| locations[0].id | doi:10.1038/s41598-023-37004-4 |
| 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/s41598-023-37004-4.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/s41598-023-37004-4 |
| locations[1].id | pmid:37452044 |
| 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/37452044 |
| locations[2].id | pmh:oai:pubmedcentral.nih.gov:10349059 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S2764455111 |
| 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 | PubMed Central |
| locations[2].source.host_organization | https://openalex.org/I1299303238 |
| locations[2].source.host_organization_name | National Institutes of Health |
| locations[2].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[2].license | cc-by |
| locations[2].pdf_url | https://pmc.ncbi.nlm.nih.gov/articles/PMC10349059/pdf/41598_2023_Article_37004.pdf |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Sci Rep |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/10349059 |
| locations[3].id | pmh:oai:doaj.org/article:25dec25a8ddf48428e478d206873abe7 |
| locations[3].is_oa | False |
| locations[3].source.id | https://openalex.org/S4306401280 |
| 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 | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[3].source.host_organization | |
| locations[3].source.host_organization_name | |
| locations[3].license | |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | article |
| locations[3].license_id | |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023) |
| locations[3].landing_page_url | https://doaj.org/article/25dec25a8ddf48428e478d206873abe7 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5074719970 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-3920-4356 |
| authorships[0].author.display_name | Milan Klöwer |
| authorships[0].countries | GB |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I40120149 |
| authorships[0].affiliations[0].raw_affiliation_string | Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK |
| authorships[0].institutions[0].id | https://openalex.org/I40120149 |
| authorships[0].institutions[0].ror | https://ror.org/052gg0110 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I40120149 |
| authorships[0].institutions[0].country_code | GB |
| authorships[0].institutions[0].display_name | University of Oxford |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Milan Klöwer |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK |
| authorships[1].author.id | https://openalex.org/A5066453821 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-8787-7256 |
| authorships[1].author.display_name | Peter V. Coveney |
| authorships[1].countries | GB |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I45129253 |
| authorships[1].affiliations[0].raw_affiliation_string | Centre for Computational Science, University College London, London, UK |
| authorships[1].institutions[0].id | https://openalex.org/I45129253 |
| authorships[1].institutions[0].ror | https://ror.org/02jx3x895 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I124357947, https://openalex.org/I45129253 |
| authorships[1].institutions[0].country_code | GB |
| authorships[1].institutions[0].display_name | University College London |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Peter V. Coveney |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Centre for Computational Science, University College London, London, UK |
| authorships[2].author.id | https://openalex.org/A5021423474 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-4419-2334 |
| authorships[2].author.display_name | E. Adam Paxton |
| authorships[2].countries | GB |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I40120149 |
| authorships[2].affiliations[0].raw_affiliation_string | Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK |
| authorships[2].institutions[0].id | https://openalex.org/I40120149 |
| authorships[2].institutions[0].ror | https://ror.org/052gg0110 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I40120149 |
| authorships[2].institutions[0].country_code | GB |
| authorships[2].institutions[0].display_name | University of Oxford |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | E. Adam Paxton |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK |
| authorships[3].author.id | https://openalex.org/A5013131077 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-7121-2196 |
| authorships[3].author.display_name | T. N. Palmer |
| authorships[3].countries | GB |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I40120149 |
| authorships[3].affiliations[0].raw_affiliation_string | Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK |
| authorships[3].institutions[0].id | https://openalex.org/I40120149 |
| authorships[3].institutions[0].ror | https://ror.org/052gg0110 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I40120149 |
| authorships[3].institutions[0].country_code | GB |
| authorships[3].institutions[0].display_name | University of Oxford |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Tim N. Palmer |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK |
| 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/s41598-023-37004-4.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Periodic orbits in chaotic systems simulated at low precision |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-23T05:10:03.516525 |
| primary_topic.id | https://openalex.org/T11017 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9908000230789185 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1707 |
| primary_topic.subfield.display_name | Computer Vision and Pattern Recognition |
| primary_topic.display_name | Chaos-based Image/Signal Encryption |
| related_works | https://openalex.org/W2041684335, https://openalex.org/W2535419677, https://openalex.org/W2134876043, https://openalex.org/W2476214559, https://openalex.org/W3215589575, https://openalex.org/W3039927303, https://openalex.org/W2544512391, https://openalex.org/W4232872402, https://openalex.org/W2118569990, https://openalex.org/W4234915478 |
| cited_by_count | 15 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 4 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 11 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1038/s41598-023-37004-4 |
| 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/s41598-023-37004-4.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/s41598-023-37004-4 |
| primary_location.id | doi:10.1038/s41598-023-37004-4 |
| 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/s41598-023-37004-4.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/s41598-023-37004-4 |
| publication_date | 2023-07-14 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W1789155650, https://openalex.org/W2790521266, https://openalex.org/W807676506, https://openalex.org/W1995008107, https://openalex.org/W2100188138, https://openalex.org/W2345406112, https://openalex.org/W4283727388, https://openalex.org/W2157139219, https://openalex.org/W2204310803, https://openalex.org/W2976440923, https://openalex.org/W2041392071, https://openalex.org/W3109186608, https://openalex.org/W2060217071, https://openalex.org/W4226352499, https://openalex.org/W4211252036, https://openalex.org/W2111822653, https://openalex.org/W1523222099, https://openalex.org/W1543750907, https://openalex.org/W2020804487, https://openalex.org/W2763018387, https://openalex.org/W2782343661, https://openalex.org/W2559846179, https://openalex.org/W2791673912, https://openalex.org/W2801748224, https://openalex.org/W3097283637, https://openalex.org/W3132840842, https://openalex.org/W3047358464, https://openalex.org/W3211043030, https://openalex.org/W3212528983, https://openalex.org/W2952424305, https://openalex.org/W3040216325, https://openalex.org/W2128387473, https://openalex.org/W2207050309, https://openalex.org/W2944526643, https://openalex.org/W3086919982, https://openalex.org/W6912832345, https://openalex.org/W3014370804, https://openalex.org/W2053987390, https://openalex.org/W6950368692, https://openalex.org/W2102892532, https://openalex.org/W2075595154, https://openalex.org/W2089164015, https://openalex.org/W2895283602, https://openalex.org/W1984240570, https://openalex.org/W2095595785, https://openalex.org/W4240267682, https://openalex.org/W3202613539, https://openalex.org/W2049013344, https://openalex.org/W2767065709, https://openalex.org/W2750605337, https://openalex.org/W3000537280, https://openalex.org/W4206768127, https://openalex.org/W6931385648, https://openalex.org/W4210725668, https://openalex.org/W1585160083, https://openalex.org/W6950568420, https://openalex.org/W3101543398, https://openalex.org/W3098574217, https://openalex.org/W3098721375, https://openalex.org/W2999414607, https://openalex.org/W3123337185 |
| referenced_works_count | 61 |
| abstract_inverted_index.In | 126 |
| abstract_inverted_index.an | 4, 150 |
| abstract_inverted_index.as | 50, 167 |
| abstract_inverted_index.at | 101 |
| abstract_inverted_index.be | 188 |
| abstract_inverted_index.in | 116 |
| abstract_inverted_index.is | 113 |
| abstract_inverted_index.of | 7, 59, 62, 124, 134, 141, 153, 163, 178, 197 |
| abstract_inverted_index.on | 56 |
| abstract_inverted_index.or | 119 |
| abstract_inverted_index.to | 36, 43, 160, 187, 191 |
| abstract_inverted_index.we | 66 |
| abstract_inverted_index.For | 104 |
| abstract_inverted_index.The | 40 |
| abstract_inverted_index.and | 72, 81, 85 |
| abstract_inverted_index.are | 3, 21, 32, 89, 146, 174, 183 |
| abstract_inverted_index.but | 94, 194 |
| abstract_inverted_index.due | 35 |
| abstract_inverted_index.far | 175 |
| abstract_inverted_index.low | 102 |
| abstract_inverted_index.map | 71, 76 |
| abstract_inverted_index.not | 185 |
| abstract_inverted_index.the | 57, 68, 73, 107, 122, 127, 131, 139, 195, 200 |
| abstract_inverted_index.1996 | 129 |
| abstract_inverted_index.Such | 181 |
| abstract_inverted_index.With | 24 |
| abstract_inverted_index.both | 198 |
| abstract_inverted_index.even | 100 |
| abstract_inverted_index.from | 110, 199 |
| abstract_inverted_index.gain | 109 |
| abstract_inverted_index.long | 38 |
| abstract_inverted_index.such | 29, 49, 60, 166 |
| abstract_inverted_index.than | 155 |
| abstract_inverted_index.that | 20 |
| abstract_inverted_index.very | 37 |
| abstract_inverted_index.with | 12, 46, 77, 91, 138, 149, 156 |
| abstract_inverted_index.Here, | 65 |
| abstract_inverted_index.large | 161 |
| abstract_inverted_index.often | 114 |
| abstract_inverted_index.orbit | 172 |
| abstract_inverted_index.reach | 177 |
| abstract_inverted_index.trend | 42 |
| abstract_inverted_index.yield | 18 |
| abstract_inverted_index.16-bit | 51 |
| abstract_inverted_index.64-bit | 25 |
| abstract_inverted_index.Lorenz | 128 |
| abstract_inverted_index.always | 17 |
| abstract_inverted_index.better | 147 |
| abstract_inverted_index.beyond | 176 |
| abstract_inverted_index.higher | 92, 117 |
| abstract_inverted_index.larger | 105 |
| abstract_inverted_index.number | 79, 123, 140, 152 |
| abstract_inverted_index.orbits | 19, 31, 99, 135, 182 |
| abstract_inverted_index.period | 132 |
| abstract_inverted_index.posits | 84 |
| abstract_inverted_index.raises | 54 |
| abstract_inverted_index.chaotic | 8, 63 |
| abstract_inverted_index.climate | 169 |
| abstract_inverted_index.floats, | 53, 83 |
| abstract_inverted_index.formats | 80 |
| abstract_inverted_index.lengths | 133, 173 |
| abstract_inverted_index.models, | 170 |
| abstract_inverted_index.natural | 164 |
| abstract_inverted_index.numbers | 28 |
| abstract_inverted_index.remains | 203 |
| abstract_inverted_index.revisit | 67 |
| abstract_inverted_index.system, | 130 |
| abstract_inverted_index.systems | 106 |
| abstract_inverted_index.various | 78 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.compared | 190 |
| abstract_inverted_index.emerging | 41 |
| abstract_inverted_index.expected | 186 |
| abstract_inverted_index.fidelity | 58 |
| abstract_inverted_index.however, | 16 |
| abstract_inverted_index.improved | 90 |
| abstract_inverted_index.increase | 136 |
| abstract_inverted_index.logistic | 70 |
| abstract_inverted_index.measures | 145 |
| abstract_inverted_index.numbers, | 15, 48 |
| abstract_inverted_index.periodic | 30, 98, 171 |
| abstract_inverted_index.periods. | 39 |
| abstract_inverted_index.prevents | 97 |
| abstract_inverted_index.property | 6 |
| abstract_inverted_index.rounding | 96 |
| abstract_inverted_index.solution | 202 |
| abstract_inverted_index.systems, | 165 |
| abstract_inverted_index.systems. | 10, 64 |
| abstract_inverted_index.unclear. | 204 |
| abstract_inverted_index.Bernoulli | 75 |
| abstract_inverted_index.Moreover, | 143 |
| abstract_inverted_index.continuum | 201 |
| abstract_inverted_index.deviation | 196 |
| abstract_inverted_index.dynamical | 9 |
| abstract_inverted_index.essential | 5 |
| abstract_inverted_index.increased | 151, 157 |
| abstract_inverted_index.invariant | 144 |
| abstract_inverted_index.periodic. | 23 |
| abstract_inverted_index.precision | 93 |
| abstract_inverted_index.questions | 55 |
| abstract_inverted_index.solutions | 2 |
| abstract_inverted_index.therefore | 184 |
| abstract_inverted_index.typically | 33 |
| abstract_inverted_index.variables | 154 |
| abstract_inverted_index.1-variable | 69 |
| abstract_inverted_index.accelerate | 44 |
| abstract_inverted_index.computers. | 180 |
| abstract_inverted_index.eventually | 22 |
| abstract_inverted_index.increasing | 121 |
| abstract_inverted_index.negligible | 34 |
| abstract_inverted_index.precision. | 103, 158 |
| abstract_inverted_index.reinvested | 115 |
| abstract_inverted_index.resolution | 118 |
| abstract_inverted_index.stochastic | 95 |
| abstract_inverted_index.variables. | 125, 142 |
| abstract_inverted_index.Simulations | 11, 88 |
| abstract_inverted_index.complexity, | 120 |
| abstract_inverted_index.generalised | 74 |
| abstract_inverted_index.logarithmic | 86 |
| abstract_inverted_index.performance | 108 |
| abstract_inverted_index.precisions: | 82 |
| abstract_inverted_index.present-day | 179 |
| abstract_inverted_index.problematic | 189 |
| abstract_inverted_index.simulations | 45, 61, 112, 162, 193 |
| abstract_inverted_index.Non-periodic | 1 |
| abstract_inverted_index.approximated | 148 |
| abstract_inverted_index.fixed-point. | 87 |
| abstract_inverted_index.Extrapolating | 159 |
| abstract_inverted_index.deterministic | 13 |
| abstract_inverted_index.exponentially | 137 |
| abstract_inverted_index.low-precision | 47, 111 |
| abstract_inverted_index.floating-point | 27 |
| abstract_inverted_index.half-precision | 52 |
| abstract_inverted_index.high-precision | 192 |
| abstract_inverted_index.double-precision | 26 |
| abstract_inverted_index.finite-precision | 14 |
| abstract_inverted_index.million-variable | 168 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 97 |
| corresponding_author_ids | https://openalex.org/A5074719970 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I40120149 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.8100000023841858 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.89564214 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |