Comparative study of modal decomposition and dynamic equation reconstruction in data-driven modeling Article Swipe
Zhenglong Yin
,
Bo Fan
,
Zijing Ding
,
Zongyu Wu
,
Yong Chen
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1063/5.0060489
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1063/5.0060489
Due to the increasing complexity of dynamic systems, it is increasingly difficult for traditional mathematical methods to meet the modeling requirements of complex dynamic systems. With the continuous innovation of computer and big data technologies, massive data can be easily obtained and stored. Therefore, studies of dynamic system modeling through data-driven approaches have attracted more and more researchers’ attention. This paper compares the dynamic mode decomposition method and dynamic equation reconstruction. Taking Lorenz and nonlinear Helmholtz resonant systems as examples, the two methods show the ability to reconstruct and describe the evolution characteristics of the dynamic system. Specifically, the dynamic mode decomposition method can describe the characteristics of the dynamic system more intuitively; however, it cannot provide physical insights. On the other hand, the discovery of dynamic equations from data can more accurately express the physical evolution characteristics of the dynamic system; however, it is easily affected by random noise. Because the dynamic mode decomposition method can obtain a reduced-order model, which can not only retain useful information of the original data but also reduce the noise disturbances, it can effectively improve the noise attenuation and finally reconstructions of differential dynamical equations.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1063/5.0060489
- OA Status
- gold
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3194138641
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3194138641Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1063/5.0060489Digital Object Identifier
- Title
-
Comparative study of modal decomposition and dynamic equation reconstruction in data-driven modelingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-08-01Full publication date if available
- Authors
-
Zhenglong Yin, Bo Fan, Zijing Ding, Zongyu Wu, Yong ChenList of authors in order
- Landing page
-
https://doi.org/10.1063/5.0060489Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1063/5.0060489Direct OA link when available
- Concepts
-
Dynamic mode decomposition, Computer science, Dynamic data, Noise (video), Nonlinear system, Physical system, System dynamics, Decomposition, Modal, Artificial intelligence, Machine learning, Biology, Programming language, Quantum mechanics, Polymer chemistry, Chemistry, Ecology, Image (mathematics), PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
32Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3194138641 |
|---|---|
| doi | https://doi.org/10.1063/5.0060489 |
| ids.doi | https://doi.org/10.1063/5.0060489 |
| ids.mag | 3194138641 |
| ids.openalex | https://openalex.org/W3194138641 |
| fwci | 0.0 |
| type | article |
| title | Comparative study of modal decomposition and dynamic equation reconstruction in data-driven modeling |
| awards[0].id | https://openalex.org/G5394678487 |
| awards[0].funder_id | https://openalex.org/F4320321001 |
| awards[0].display_name | |
| awards[0].funder_award_id | 52072408 |
| awards[0].funder_display_name | National Natural Science Foundation of China |
| biblio.issue | 8 |
| biblio.volume | 11 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11206 |
| topics[0].field.id | https://openalex.org/fields/31 |
| topics[0].field.display_name | Physics and Astronomy |
| topics[0].score | 0.9997000098228455 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3109 |
| topics[0].subfield.display_name | Statistical and Nonlinear Physics |
| topics[0].display_name | Model Reduction and Neural Networks |
| topics[1].id | https://openalex.org/T11254 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9889000058174133 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2206 |
| topics[1].subfield.display_name | Computational Mechanics |
| topics[1].display_name | Fluid Dynamics and Vibration Analysis |
| topics[2].id | https://openalex.org/T10534 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.984000027179718 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2205 |
| topics[2].subfield.display_name | Civil and Structural Engineering |
| topics[2].display_name | Structural Health Monitoring Techniques |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| is_xpac | False |
| apc_list.value | 1350 |
| apc_list.currency | USD |
| apc_list.value_usd | 1350 |
| apc_paid.value | 1350 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1350 |
| concepts[0].id | https://openalex.org/C2777032711 |
| concepts[0].level | 2 |
| concepts[0].score | 0.9617874622344971 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q5318993 |
| concepts[0].display_name | Dynamic mode decomposition |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.6838334202766418 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C197298091 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6120850443840027 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q5318963 |
| concepts[2].display_name | Dynamic data |
| concepts[3].id | https://openalex.org/C99498987 |
| concepts[3].level | 3 |
| concepts[3].score | 0.5647146701812744 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2210247 |
| concepts[3].display_name | Noise (video) |
| concepts[4].id | https://openalex.org/C158622935 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5434553623199463 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q660848 |
| concepts[4].display_name | Nonlinear system |
| concepts[5].id | https://openalex.org/C116672817 |
| concepts[5].level | 2 |
| concepts[5].score | 0.47514915466308594 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1454986 |
| concepts[5].display_name | Physical system |
| concepts[6].id | https://openalex.org/C77405623 |
| concepts[6].level | 2 |
| concepts[6].score | 0.469310998916626 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q598451 |
| concepts[6].display_name | System dynamics |
| concepts[7].id | https://openalex.org/C124681953 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4445699453353882 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q339062 |
| concepts[7].display_name | Decomposition |
| concepts[8].id | https://openalex.org/C71139939 |
| concepts[8].level | 2 |
| concepts[8].score | 0.43926575779914856 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q910194 |
| concepts[8].display_name | Modal |
| concepts[9].id | https://openalex.org/C154945302 |
| concepts[9].level | 1 |
| concepts[9].score | 0.18502306938171387 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[9].display_name | Artificial intelligence |
| concepts[10].id | https://openalex.org/C119857082 |
| concepts[10].level | 1 |
| concepts[10].score | 0.11775645613670349 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[10].display_name | Machine learning |
| concepts[11].id | https://openalex.org/C86803240 |
| concepts[11].level | 0 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[11].display_name | Biology |
| concepts[12].id | https://openalex.org/C199360897 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[12].display_name | Programming language |
| concepts[13].id | https://openalex.org/C62520636 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[13].display_name | Quantum mechanics |
| concepts[14].id | https://openalex.org/C188027245 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q750446 |
| concepts[14].display_name | Polymer chemistry |
| concepts[15].id | https://openalex.org/C185592680 |
| concepts[15].level | 0 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[15].display_name | Chemistry |
| concepts[16].id | https://openalex.org/C18903297 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q7150 |
| concepts[16].display_name | Ecology |
| concepts[17].id | https://openalex.org/C115961682 |
| concepts[17].level | 2 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q860623 |
| concepts[17].display_name | Image (mathematics) |
| concepts[18].id | https://openalex.org/C121332964 |
| concepts[18].level | 0 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[18].display_name | Physics |
| keywords[0].id | https://openalex.org/keywords/dynamic-mode-decomposition |
| keywords[0].score | 0.9617874622344971 |
| keywords[0].display_name | Dynamic mode decomposition |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.6838334202766418 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/dynamic-data |
| keywords[2].score | 0.6120850443840027 |
| keywords[2].display_name | Dynamic data |
| keywords[3].id | https://openalex.org/keywords/noise |
| keywords[3].score | 0.5647146701812744 |
| keywords[3].display_name | Noise (video) |
| keywords[4].id | https://openalex.org/keywords/nonlinear-system |
| keywords[4].score | 0.5434553623199463 |
| keywords[4].display_name | Nonlinear system |
| keywords[5].id | https://openalex.org/keywords/physical-system |
| keywords[5].score | 0.47514915466308594 |
| keywords[5].display_name | Physical system |
| keywords[6].id | https://openalex.org/keywords/system-dynamics |
| keywords[6].score | 0.469310998916626 |
| keywords[6].display_name | System dynamics |
| keywords[7].id | https://openalex.org/keywords/decomposition |
| keywords[7].score | 0.4445699453353882 |
| keywords[7].display_name | Decomposition |
| keywords[8].id | https://openalex.org/keywords/modal |
| keywords[8].score | 0.43926575779914856 |
| keywords[8].display_name | Modal |
| keywords[9].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[9].score | 0.18502306938171387 |
| keywords[9].display_name | Artificial intelligence |
| keywords[10].id | https://openalex.org/keywords/machine-learning |
| keywords[10].score | 0.11775645613670349 |
| keywords[10].display_name | Machine learning |
| language | en |
| locations[0].id | doi:10.1063/5.0060489 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S189917590 |
| locations[0].source.issn | 2158-3226 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2158-3226 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | AIP Advances |
| locations[0].source.host_organization | https://openalex.org/P4310320257 |
| locations[0].source.host_organization_name | American Institute of Physics |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320257 |
| locations[0].source.host_organization_lineage_names | American Institute of Physics |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| 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 | AIP Advances |
| locations[0].landing_page_url | https://doi.org/10.1063/5.0060489 |
| locations[1].id | pmh:oai:doaj.org/article:d7ff0c0ff88f4f8faddc1d83a6d96338 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306401280 |
| 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 | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | cc-by-sa |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | AIP Advances, Vol 11, Iss 8, Pp 085022-085022-14 (2021) |
| locations[1].landing_page_url | https://doaj.org/article/d7ff0c0ff88f4f8faddc1d83a6d96338 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5045984010 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-5215-0324 |
| authorships[0].author.display_name | Zhenglong Yin |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I170215575 |
| authorships[0].affiliations[0].raw_affiliation_string | College of Aerospace Science and Engineering, National University of Defense Technology 1 , Changsha 410073, China |
| authorships[0].institutions[0].id | https://openalex.org/I170215575 |
| authorships[0].institutions[0].ror | https://ror.org/05d2yfz11 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I170215575 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | National University of Defense Technology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Zhenglong Yin |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | College of Aerospace Science and Engineering, National University of Defense Technology 1 , Changsha 410073, China |
| authorships[1].author.id | https://openalex.org/A5100713579 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-5337-6886 |
| authorships[1].author.display_name | Bo Fan |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I2802541053 |
| authorships[1].affiliations[0].raw_affiliation_string | National Innovation Institute of Defense Technology, Academy of Military Sciences 2 , Beijing 100071, China |
| authorships[1].institutions[0].id | https://openalex.org/I2802541053 |
| authorships[1].institutions[0].ror | https://ror.org/02bv3c993 |
| authorships[1].institutions[0].type | facility |
| authorships[1].institutions[0].lineage | https://openalex.org/I2802541053 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Academy of Military Medical Sciences |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Bo Fan |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | National Innovation Institute of Defense Technology, Academy of Military Sciences 2 , Beijing 100071, China |
| authorships[2].author.id | https://openalex.org/A5047528508 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-6756-0182 |
| authorships[2].author.display_name | Zijing Ding |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I204983213 |
| authorships[2].affiliations[0].raw_affiliation_string | School of Energy Science and Engineering, Harbin Institute of Technology 3 , Harbin 150001, China |
| authorships[2].institutions[0].id | https://openalex.org/I204983213 |
| authorships[2].institutions[0].ror | https://ror.org/01yqg2h08 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I204983213 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Harbin Institute of Technology |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Zijing Ding |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | School of Energy Science and Engineering, Harbin Institute of Technology 3 , Harbin 150001, China |
| authorships[3].author.id | https://openalex.org/A5102874395 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-0916-1535 |
| authorships[3].author.display_name | Zongyu Wu |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I170215575 |
| authorships[3].affiliations[0].raw_affiliation_string | College of Aerospace Science and Engineering, National University of Defense Technology 1 , Changsha 410073, China |
| authorships[3].institutions[0].id | https://openalex.org/I170215575 |
| authorships[3].institutions[0].ror | https://ror.org/05d2yfz11 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I170215575 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | National University of Defense Technology |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Zongyu Wu |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | College of Aerospace Science and Engineering, National University of Defense Technology 1 , Changsha 410073, China |
| authorships[4].author.id | https://openalex.org/A5100454385 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-0676-2327 |
| authorships[4].author.display_name | Yong Chen |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I170215575 |
| authorships[4].affiliations[0].raw_affiliation_string | College of Aerospace Science and Engineering, National University of Defense Technology 1 , Changsha 410073, China |
| authorships[4].affiliations[1].raw_affiliation_string | Chengdu Fluid Dynamics Innovation Center 4 , Chengdu 610071, China |
| authorships[4].institutions[0].id | https://openalex.org/I170215575 |
| authorships[4].institutions[0].ror | https://ror.org/05d2yfz11 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I170215575 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | National University of Defense Technology |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Yong Chen |
| authorships[4].is_corresponding | True |
| authorships[4].raw_affiliation_strings | Chengdu Fluid Dynamics Innovation Center 4 , Chengdu 610071, China, College of Aerospace Science and Engineering, National University of Defense Technology 1 , Changsha 410073, China |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1063/5.0060489 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Comparative study of modal decomposition and dynamic equation reconstruction in data-driven modeling |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11206 |
| primary_topic.field.id | https://openalex.org/fields/31 |
| primary_topic.field.display_name | Physics and Astronomy |
| primary_topic.score | 0.9997000098228455 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3109 |
| primary_topic.subfield.display_name | Statistical and Nonlinear Physics |
| primary_topic.display_name | Model Reduction and Neural Networks |
| related_works | https://openalex.org/W2597763219, https://openalex.org/W2014356541, https://openalex.org/W2168222921, https://openalex.org/W2992578100, https://openalex.org/W4286695296, https://openalex.org/W3028908947, https://openalex.org/W2035021796, https://openalex.org/W3194138641, https://openalex.org/W4226443346, https://openalex.org/W3206624104 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1063/5.0060489 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S189917590 |
| best_oa_location.source.issn | 2158-3226 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2158-3226 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | AIP Advances |
| best_oa_location.source.host_organization | https://openalex.org/P4310320257 |
| best_oa_location.source.host_organization_name | American Institute of Physics |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320257 |
| best_oa_location.source.host_organization_lineage_names | American Institute of Physics |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| 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 | AIP Advances |
| best_oa_location.landing_page_url | https://doi.org/10.1063/5.0060489 |
| primary_location.id | doi:10.1063/5.0060489 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S189917590 |
| primary_location.source.issn | 2158-3226 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2158-3226 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | AIP Advances |
| primary_location.source.host_organization | https://openalex.org/P4310320257 |
| primary_location.source.host_organization_name | American Institute of Physics |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320257 |
| primary_location.source.host_organization_lineage_names | American Institute of Physics |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| 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 | AIP Advances |
| primary_location.landing_page_url | https://doi.org/10.1063/5.0060489 |
| publication_date | 2021-08-01 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W2098395403, https://openalex.org/W2000982976, https://openalex.org/W2112823474, https://openalex.org/W3175250478, https://openalex.org/W2746980346, https://openalex.org/W2014356541, https://openalex.org/W1591018827, https://openalex.org/W1997054581, https://openalex.org/W2730644873, https://openalex.org/W2093828424, https://openalex.org/W1979769287, https://openalex.org/W2239232218, https://openalex.org/W2573798107, https://openalex.org/W2525748878, https://openalex.org/W2745110207, https://openalex.org/W3003922491, https://openalex.org/W2903660960, https://openalex.org/W3014871311, https://openalex.org/W2078898317, https://openalex.org/W2135046866, https://openalex.org/W2979307030, https://openalex.org/W2938503165, https://openalex.org/W3142775187, https://openalex.org/W2510030309, https://openalex.org/W2964079102, https://openalex.org/W3101392902, https://openalex.org/W3099674394, https://openalex.org/W3099211663, https://openalex.org/W2989768142, https://openalex.org/W3099803807, https://openalex.org/W3099462237, https://openalex.org/W2302255633 |
| referenced_works_count | 32 |
| abstract_inverted_index.a | 158 |
| abstract_inverted_index.On | 119 |
| abstract_inverted_index.as | 78 |
| abstract_inverted_index.be | 38 |
| abstract_inverted_index.by | 147 |
| abstract_inverted_index.is | 9, 144 |
| abstract_inverted_index.it | 8, 114, 143, 178 |
| abstract_inverted_index.of | 5, 21, 29, 45, 93, 107, 125, 138, 168, 188 |
| abstract_inverted_index.to | 1, 16, 86 |
| abstract_inverted_index.Due | 0 |
| abstract_inverted_index.and | 31, 41, 55, 67, 73, 88, 185 |
| abstract_inverted_index.big | 32 |
| abstract_inverted_index.but | 172 |
| abstract_inverted_index.can | 37, 103, 130, 156, 162, 179 |
| abstract_inverted_index.for | 12 |
| abstract_inverted_index.not | 163 |
| abstract_inverted_index.the | 2, 18, 26, 62, 80, 84, 90, 94, 98, 105, 108, 120, 123, 134, 139, 151, 169, 175, 182 |
| abstract_inverted_index.two | 81 |
| abstract_inverted_index.This | 59 |
| abstract_inverted_index.With | 25 |
| abstract_inverted_index.also | 173 |
| abstract_inverted_index.data | 33, 36, 129, 171 |
| abstract_inverted_index.from | 128 |
| abstract_inverted_index.have | 52 |
| abstract_inverted_index.meet | 17 |
| abstract_inverted_index.mode | 64, 100, 153 |
| abstract_inverted_index.more | 54, 56, 111, 131 |
| abstract_inverted_index.only | 164 |
| abstract_inverted_index.show | 83 |
| abstract_inverted_index.hand, | 122 |
| abstract_inverted_index.noise | 176, 183 |
| abstract_inverted_index.other | 121 |
| abstract_inverted_index.paper | 60 |
| abstract_inverted_index.which | 161 |
| abstract_inverted_index.Lorenz | 72 |
| abstract_inverted_index.Taking | 71 |
| abstract_inverted_index.cannot | 115 |
| abstract_inverted_index.easily | 39, 145 |
| abstract_inverted_index.method | 66, 102, 155 |
| abstract_inverted_index.model, | 160 |
| abstract_inverted_index.noise. | 149 |
| abstract_inverted_index.obtain | 157 |
| abstract_inverted_index.random | 148 |
| abstract_inverted_index.reduce | 174 |
| abstract_inverted_index.retain | 165 |
| abstract_inverted_index.system | 47, 110 |
| abstract_inverted_index.useful | 166 |
| abstract_inverted_index.Because | 150 |
| abstract_inverted_index.ability | 85 |
| abstract_inverted_index.complex | 22 |
| abstract_inverted_index.dynamic | 6, 23, 46, 63, 68, 95, 99, 109, 126, 140, 152 |
| abstract_inverted_index.express | 133 |
| abstract_inverted_index.finally | 186 |
| abstract_inverted_index.improve | 181 |
| abstract_inverted_index.massive | 35 |
| abstract_inverted_index.methods | 15, 82 |
| abstract_inverted_index.provide | 116 |
| abstract_inverted_index.stored. | 42 |
| abstract_inverted_index.studies | 44 |
| abstract_inverted_index.system. | 96 |
| abstract_inverted_index.system; | 141 |
| abstract_inverted_index.systems | 77 |
| abstract_inverted_index.through | 49 |
| abstract_inverted_index.affected | 146 |
| abstract_inverted_index.compares | 61 |
| abstract_inverted_index.computer | 30 |
| abstract_inverted_index.describe | 89, 104 |
| abstract_inverted_index.equation | 69 |
| abstract_inverted_index.however, | 113, 142 |
| abstract_inverted_index.modeling | 19, 48 |
| abstract_inverted_index.obtained | 40 |
| abstract_inverted_index.original | 170 |
| abstract_inverted_index.physical | 117, 135 |
| abstract_inverted_index.resonant | 76 |
| abstract_inverted_index.systems, | 7 |
| abstract_inverted_index.systems. | 24 |
| abstract_inverted_index.Helmholtz | 75 |
| abstract_inverted_index.attracted | 53 |
| abstract_inverted_index.difficult | 11 |
| abstract_inverted_index.discovery | 124 |
| abstract_inverted_index.dynamical | 190 |
| abstract_inverted_index.equations | 127 |
| abstract_inverted_index.evolution | 91, 136 |
| abstract_inverted_index.examples, | 79 |
| abstract_inverted_index.insights. | 118 |
| abstract_inverted_index.nonlinear | 74 |
| abstract_inverted_index.Therefore, | 43 |
| abstract_inverted_index.accurately | 132 |
| abstract_inverted_index.approaches | 51 |
| abstract_inverted_index.attention. | 58 |
| abstract_inverted_index.complexity | 4 |
| abstract_inverted_index.continuous | 27 |
| abstract_inverted_index.equations. | 191 |
| abstract_inverted_index.increasing | 3 |
| abstract_inverted_index.innovation | 28 |
| abstract_inverted_index.attenuation | 184 |
| abstract_inverted_index.data-driven | 50 |
| abstract_inverted_index.effectively | 180 |
| abstract_inverted_index.information | 167 |
| abstract_inverted_index.reconstruct | 87 |
| abstract_inverted_index.traditional | 13 |
| abstract_inverted_index.differential | 189 |
| abstract_inverted_index.increasingly | 10 |
| abstract_inverted_index.intuitively; | 112 |
| abstract_inverted_index.mathematical | 14 |
| abstract_inverted_index.requirements | 20 |
| abstract_inverted_index.Specifically, | 97 |
| abstract_inverted_index.decomposition | 65, 101, 154 |
| abstract_inverted_index.disturbances, | 177 |
| abstract_inverted_index.reduced-order | 159 |
| abstract_inverted_index.technologies, | 34 |
| abstract_inverted_index.researchers’ | 57 |
| abstract_inverted_index.characteristics | 92, 106, 137 |
| abstract_inverted_index.reconstruction. | 70 |
| abstract_inverted_index.reconstructions | 187 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5100454385 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I170215575 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.6700000166893005 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.11907435 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |