Experiment research on regression rate of aluminized solid propellant with HMX using reconstruction techniques Article Swipe
Tianfang Wei
,
Guobiao Cai
,
Huixin Tian
,
Yi Lu
,
Xiaoxiao Niu
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2772/1/012017
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2772/1/012017
In this research, a firing test was conducted on a Hybrid Rocket Motor (HRM) that operates using an aluminized solid propellant containing HMX and Hydrogen Peroxide (HP). The instantaneous regression rate of HRM is determined using reconstruction techniques, and the formula of regression rate is fitted by reconstruction techniques and traditional weight-loss method. The utilization of the reconstruction method presents a notable advantage, as it allows for the determination of the regression rate’s sensitivity to variations in oxidizer mass flux. Additionally, this method enables the fitting of the regression rate formula based on data obtained from a single firing test. The average value of regression rate of four times firing test are 0.944, 0.529, 0.595 and 0.486 mm/s. According to the weight-loss method and reconstruction techniques, the coefficients of determination ( R 2 ) of regression rate formula fitting are 0.8867 and 0.93 respectively, indicating that the accuracy of the fitting is better than that of traditional method. Overall, this paper presents a comparison of traditional weight-loss method and reconstruction techniques for providing a critical preference for the research of regression rate of HRM.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/2772/1/012017
- OA Status
- diamond
- Cited By
- 2
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400128973
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4400128973Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1742-6596/2772/1/012017Digital Object Identifier
- Title
-
Experiment research on regression rate of aluminized solid propellant with HMX using reconstruction techniquesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-01Full publication date if available
- Authors
-
Tianfang Wei, Guobiao Cai, Huixin Tian, Yi Lu, Xiaoxiao NiuList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/2772/1/012017Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1088/1742-6596/2772/1/012017Direct OA link when available
- Concepts
-
Propellant, Materials science, Regression, Aerospace engineering, Statistics, Engineering, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- References (count)
-
11Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4400128973 |
|---|---|
| doi | https://doi.org/10.1088/1742-6596/2772/1/012017 |
| ids.doi | https://doi.org/10.1088/1742-6596/2772/1/012017 |
| ids.openalex | https://openalex.org/W4400128973 |
| fwci | 2.63821228 |
| type | article |
| title | Experiment research on regression rate of aluminized solid propellant with HMX using reconstruction techniques |
| biblio.issue | 1 |
| biblio.volume | 2772 |
| biblio.last_page | 012017 |
| biblio.first_page | 012017 |
| topics[0].id | https://openalex.org/T12513 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9998999834060669 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2202 |
| topics[0].subfield.display_name | Aerospace Engineering |
| topics[0].display_name | Rocket and propulsion systems research |
| topics[1].id | https://openalex.org/T10806 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9991000294685364 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2211 |
| topics[1].subfield.display_name | Mechanics of Materials |
| topics[1].display_name | Energetic Materials and Combustion |
| topics[2].id | https://openalex.org/T13200 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9904000163078308 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2202 |
| topics[2].subfield.display_name | Aerospace Engineering |
| topics[2].display_name | Spacecraft and Cryogenic Technologies |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C76737569 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8942748308181763 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1364934 |
| concepts[0].display_name | Propellant |
| concepts[1].id | https://openalex.org/C192562407 |
| concepts[1].level | 0 |
| concepts[1].score | 0.5005612373352051 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q228736 |
| concepts[1].display_name | Materials science |
| concepts[2].id | https://openalex.org/C83546350 |
| concepts[2].level | 2 |
| concepts[2].score | 0.472180038690567 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1139051 |
| concepts[2].display_name | Regression |
| concepts[3].id | https://openalex.org/C146978453 |
| concepts[3].level | 1 |
| concepts[3].score | 0.24263352155685425 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q3798668 |
| concepts[3].display_name | Aerospace engineering |
| concepts[4].id | https://openalex.org/C105795698 |
| concepts[4].level | 1 |
| concepts[4].score | 0.24061861634254456 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[4].display_name | Statistics |
| concepts[5].id | https://openalex.org/C127413603 |
| concepts[5].level | 0 |
| concepts[5].score | 0.17846539616584778 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[5].display_name | Engineering |
| concepts[6].id | https://openalex.org/C33923547 |
| concepts[6].level | 0 |
| concepts[6].score | 0.17171087861061096 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[6].display_name | Mathematics |
| keywords[0].id | https://openalex.org/keywords/propellant |
| keywords[0].score | 0.8942748308181763 |
| keywords[0].display_name | Propellant |
| keywords[1].id | https://openalex.org/keywords/materials-science |
| keywords[1].score | 0.5005612373352051 |
| keywords[1].display_name | Materials science |
| keywords[2].id | https://openalex.org/keywords/regression |
| keywords[2].score | 0.472180038690567 |
| keywords[2].display_name | Regression |
| keywords[3].id | https://openalex.org/keywords/aerospace-engineering |
| keywords[3].score | 0.24263352155685425 |
| keywords[3].display_name | Aerospace engineering |
| keywords[4].id | https://openalex.org/keywords/statistics |
| keywords[4].score | 0.24061861634254456 |
| keywords[4].display_name | Statistics |
| keywords[5].id | https://openalex.org/keywords/engineering |
| keywords[5].score | 0.17846539616584778 |
| keywords[5].display_name | Engineering |
| keywords[6].id | https://openalex.org/keywords/mathematics |
| keywords[6].score | 0.17171087861061096 |
| keywords[6].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.1088/1742-6596/2772/1/012017 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210187594 |
| locations[0].source.issn | 1742-6588, 1742-6596 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1742-6588 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of Physics Conference Series |
| locations[0].source.host_organization | https://openalex.org/P4310320083 |
| locations[0].source.host_organization_name | IOP Publishing |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320083, https://openalex.org/P4310311669 |
| locations[0].source.host_organization_lineage_names | IOP Publishing, 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 | Journal of Physics: Conference Series |
| locations[0].landing_page_url | https://doi.org/10.1088/1742-6596/2772/1/012017 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5072484845 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-4648-7857 |
| authorships[0].author.display_name | Tianfang Wei |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].raw_affiliation_string | Key Laboratory of Spacecraft Design Optimization & Dynamic Simulation Technologies, Ministry of Education, China |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I82880672 |
| authorships[0].affiliations[1].raw_affiliation_string | School of Astronautics, Beihang University, 100191, China |
| authorships[0].institutions[0].id | https://openalex.org/I82880672 |
| authorships[0].institutions[0].ror | https://ror.org/00wk2mp56 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I82880672 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Beihang University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | T F Wei |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Key Laboratory of Spacecraft Design Optimization & Dynamic Simulation Technologies, Ministry of Education, China, School of Astronautics, Beihang University, 100191, China |
| authorships[1].author.id | https://openalex.org/A5031605581 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-7909-4622 |
| authorships[1].author.display_name | Guobiao Cai |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I82880672 |
| authorships[1].affiliations[0].raw_affiliation_string | School of Astronautics, Beihang University, 100191, China |
| authorships[1].affiliations[1].raw_affiliation_string | Key Laboratory of Spacecraft Design Optimization & Dynamic Simulation Technologies, Ministry of Education, China |
| authorships[1].institutions[0].id | https://openalex.org/I82880672 |
| authorships[1].institutions[0].ror | https://ror.org/00wk2mp56 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I82880672 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Beihang University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | G B Cai |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Key Laboratory of Spacecraft Design Optimization & Dynamic Simulation Technologies, Ministry of Education, China, School of Astronautics, Beihang University, 100191, China |
| authorships[2].author.id | https://openalex.org/A5041950872 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-0261-9371 |
| authorships[2].author.display_name | Huixin Tian |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I82880672 |
| authorships[2].affiliations[0].raw_affiliation_string | School of Astronautics, Beihang University, 100191, China |
| authorships[2].affiliations[1].raw_affiliation_string | Key Laboratory of Spacecraft Design Optimization & Dynamic Simulation Technologies, Ministry of Education, China |
| authorships[2].institutions[0].id | https://openalex.org/I82880672 |
| authorships[2].institutions[0].ror | https://ror.org/00wk2mp56 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I82880672 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Beihang University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | H Tian |
| authorships[2].is_corresponding | True |
| authorships[2].raw_affiliation_strings | Key Laboratory of Spacecraft Design Optimization & Dynamic Simulation Technologies, Ministry of Education, China, School of Astronautics, Beihang University, 100191, China |
| authorships[3].author.id | https://openalex.org/A5100661752 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-1259-7153 |
| authorships[3].author.display_name | Yi Lu |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I82880672 |
| authorships[3].affiliations[0].raw_affiliation_string | School of Astronautics, Beihang University, 100191, China |
| authorships[3].affiliations[1].raw_affiliation_string | Key Laboratory of Spacecraft Design Optimization & Dynamic Simulation Technologies, Ministry of Education, China |
| authorships[3].institutions[0].id | https://openalex.org/I82880672 |
| authorships[3].institutions[0].ror | https://ror.org/00wk2mp56 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I82880672 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Beihang University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Y D Lu |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Key Laboratory of Spacecraft Design Optimization & Dynamic Simulation Technologies, Ministry of Education, China, School of Astronautics, Beihang University, 100191, China |
| authorships[4].author.id | https://openalex.org/A5112747213 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Xiaoxiao Niu |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].raw_affiliation_string | Key Laboratory of Spacecraft Design Optimization & Dynamic Simulation Technologies, Ministry of Education, China |
| authorships[4].affiliations[1].institution_ids | https://openalex.org/I82880672 |
| authorships[4].affiliations[1].raw_affiliation_string | School of Astronautics, Beihang University, 100191, China |
| authorships[4].institutions[0].id | https://openalex.org/I82880672 |
| authorships[4].institutions[0].ror | https://ror.org/00wk2mp56 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I82880672 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Beihang University |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | X T Niu |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Key Laboratory of Spacecraft Design Optimization & Dynamic Simulation Technologies, Ministry of Education, China, School of Astronautics, Beihang University, 100191, 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/10.1088/1742-6596/2772/1/012017 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Experiment research on regression rate of aluminized solid propellant with HMX using reconstruction techniques |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12513 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9998999834060669 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2202 |
| primary_topic.subfield.display_name | Aerospace Engineering |
| primary_topic.display_name | Rocket and propulsion systems research |
| related_works | https://openalex.org/W4243194555, https://openalex.org/W4244775732, https://openalex.org/W2076353297, https://openalex.org/W2356137318, https://openalex.org/W2790134630, https://openalex.org/W4250165543, https://openalex.org/W4205696019, https://openalex.org/W3025022474, https://openalex.org/W2390025084, https://openalex.org/W87662257 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1088/1742-6596/2772/1/012017 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210187594 |
| best_oa_location.source.issn | 1742-6588, 1742-6596 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1742-6588 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Journal of Physics Conference Series |
| best_oa_location.source.host_organization | https://openalex.org/P4310320083 |
| best_oa_location.source.host_organization_name | IOP Publishing |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320083, https://openalex.org/P4310311669 |
| best_oa_location.source.host_organization_lineage_names | IOP Publishing, 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 | Journal of Physics: Conference Series |
| best_oa_location.landing_page_url | https://doi.org/10.1088/1742-6596/2772/1/012017 |
| primary_location.id | doi:10.1088/1742-6596/2772/1/012017 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210187594 |
| primary_location.source.issn | 1742-6588, 1742-6596 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1742-6588 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of Physics Conference Series |
| primary_location.source.host_organization | https://openalex.org/P4310320083 |
| primary_location.source.host_organization_name | IOP Publishing |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320083, https://openalex.org/P4310311669 |
| primary_location.source.host_organization_lineage_names | IOP Publishing, 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 | Journal of Physics: Conference Series |
| primary_location.landing_page_url | https://doi.org/10.1088/1742-6596/2772/1/012017 |
| publication_date | 2024-06-01 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W2029268840, https://openalex.org/W2477072980, https://openalex.org/W2322349658, https://openalex.org/W2989653619, https://openalex.org/W3024652040, https://openalex.org/W4220957324, https://openalex.org/W2038877663, https://openalex.org/W1999647799, https://openalex.org/W2606067603, https://openalex.org/W3178896696, https://openalex.org/W2783816014 |
| referenced_works_count | 11 |
| abstract_inverted_index.( | 131 |
| abstract_inverted_index.) | 134 |
| abstract_inverted_index.2 | 133 |
| abstract_inverted_index.R | 132 |
| abstract_inverted_index.a | 4, 10, 61, 97, 163, 174 |
| abstract_inverted_index.In | 1 |
| abstract_inverted_index.an | 18 |
| abstract_inverted_index.as | 64 |
| abstract_inverted_index.by | 47 |
| abstract_inverted_index.in | 77 |
| abstract_inverted_index.is | 34, 45, 152 |
| abstract_inverted_index.it | 65 |
| abstract_inverted_index.of | 32, 42, 56, 70, 87, 104, 107, 129, 135, 149, 156, 165, 180, 183 |
| abstract_inverted_index.on | 9, 93 |
| abstract_inverted_index.to | 75, 120 |
| abstract_inverted_index.HMX | 23 |
| abstract_inverted_index.HRM | 33 |
| abstract_inverted_index.The | 28, 54, 101 |
| abstract_inverted_index.and | 24, 39, 50, 116, 124, 142, 169 |
| abstract_inverted_index.are | 112, 140 |
| abstract_inverted_index.for | 67, 172, 177 |
| abstract_inverted_index.the | 40, 57, 68, 71, 85, 88, 121, 127, 147, 150, 178 |
| abstract_inverted_index.was | 7 |
| abstract_inverted_index.0.93 | 143 |
| abstract_inverted_index.HRM. | 184 |
| abstract_inverted_index.data | 94 |
| abstract_inverted_index.four | 108 |
| abstract_inverted_index.from | 96 |
| abstract_inverted_index.mass | 79 |
| abstract_inverted_index.rate | 31, 44, 90, 106, 137, 182 |
| abstract_inverted_index.test | 6, 111 |
| abstract_inverted_index.than | 154 |
| abstract_inverted_index.that | 15, 146, 155 |
| abstract_inverted_index.this | 2, 82, 160 |
| abstract_inverted_index.(HP). | 27 |
| abstract_inverted_index.(HRM) | 14 |
| abstract_inverted_index.0.486 | 117 |
| abstract_inverted_index.0.595 | 115 |
| abstract_inverted_index.Motor | 13 |
| abstract_inverted_index.based | 92 |
| abstract_inverted_index.flux. | 80 |
| abstract_inverted_index.mm/s. | 118 |
| abstract_inverted_index.paper | 161 |
| abstract_inverted_index.solid | 20 |
| abstract_inverted_index.test. | 100 |
| abstract_inverted_index.times | 109 |
| abstract_inverted_index.using | 17, 36 |
| abstract_inverted_index.value | 103 |
| abstract_inverted_index.0.529, | 114 |
| abstract_inverted_index.0.8867 | 141 |
| abstract_inverted_index.0.944, | 113 |
| abstract_inverted_index.Hybrid | 11 |
| abstract_inverted_index.Rocket | 12 |
| abstract_inverted_index.allows | 66 |
| abstract_inverted_index.better | 153 |
| abstract_inverted_index.firing | 5, 99, 110 |
| abstract_inverted_index.fitted | 46 |
| abstract_inverted_index.method | 59, 83, 123, 168 |
| abstract_inverted_index.single | 98 |
| abstract_inverted_index.average | 102 |
| abstract_inverted_index.enables | 84 |
| abstract_inverted_index.fitting | 86, 139, 151 |
| abstract_inverted_index.formula | 41, 91, 138 |
| abstract_inverted_index.method. | 53, 158 |
| abstract_inverted_index.notable | 62 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Hydrogen | 25 |
| abstract_inverted_index.Overall, | 159 |
| abstract_inverted_index.Peroxide | 26 |
| abstract_inverted_index.accuracy | 148 |
| abstract_inverted_index.critical | 175 |
| abstract_inverted_index.obtained | 95 |
| abstract_inverted_index.operates | 16 |
| abstract_inverted_index.oxidizer | 78 |
| abstract_inverted_index.presents | 60, 162 |
| abstract_inverted_index.rate’s | 73 |
| abstract_inverted_index.research | 179 |
| abstract_inverted_index.According | 119 |
| abstract_inverted_index.conducted | 8 |
| abstract_inverted_index.providing | 173 |
| abstract_inverted_index.research, | 3 |
| abstract_inverted_index.advantage, | 63 |
| abstract_inverted_index.aluminized | 19 |
| abstract_inverted_index.comparison | 164 |
| abstract_inverted_index.containing | 22 |
| abstract_inverted_index.determined | 35 |
| abstract_inverted_index.indicating | 145 |
| abstract_inverted_index.preference | 176 |
| abstract_inverted_index.propellant | 21 |
| abstract_inverted_index.regression | 30, 43, 72, 89, 105, 136, 181 |
| abstract_inverted_index.techniques | 49, 171 |
| abstract_inverted_index.variations | 76 |
| abstract_inverted_index.sensitivity | 74 |
| abstract_inverted_index.techniques, | 38, 126 |
| abstract_inverted_index.traditional | 51, 157, 166 |
| abstract_inverted_index.utilization | 55 |
| abstract_inverted_index.weight-loss | 52, 122, 167 |
| abstract_inverted_index.coefficients | 128 |
| abstract_inverted_index.Additionally, | 81 |
| abstract_inverted_index.determination | 69, 130 |
| abstract_inverted_index.instantaneous | 29 |
| abstract_inverted_index.respectively, | 144 |
| abstract_inverted_index.reconstruction | 37, 48, 58, 125, 170 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| corresponding_author_ids | https://openalex.org/A5072484845, https://openalex.org/A5041950872 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I82880672 |
| citation_normalized_percentile.value | 0.87456559 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |