The Prediction of the Optimal 2d Porosity Distribution of Gas Diffusion Layer in the Cathode of Pem Fuel Cell Using Convolutional Neural Network Image Learning Article Swipe
Sha Mi
,
Zhiyi Wei
,
Lingling Cai
,
Xiaowei Xi
,
Zhigang Zang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.5098003
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.5098003
Related Topics
Concepts
Porosity
Cathode
Convolutional neural network
Proton exchange membrane fuel cell
Layer (electronics)
Image (mathematics)
Diffusion
Materials science
Fuel cells
Artificial neural network
Distribution (mathematics)
Computer science
Artificial intelligence
Chemical engineering
Nanotechnology
Physics
Composite material
Mathematics
Engineering
Thermodynamics
Electrical engineering
Mathematical analysis
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.2139/ssrn.5098003
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406403673
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4406403673Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2139/ssrn.5098003Digital Object Identifier
- Title
-
The Prediction of the Optimal 2d Porosity Distribution of Gas Diffusion Layer in the Cathode of Pem Fuel Cell Using Convolutional Neural Network Image LearningWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-01Full publication date if available
- Authors
-
Sha Mi, Zhiyi Wei, Lingling Cai, Xiaowei Xi, Zhigang ZangList of authors in order
- Landing page
-
https://doi.org/10.2139/ssrn.5098003Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.2139/ssrn.5098003Direct OA link when available
- Concepts
-
Porosity, Cathode, Convolutional neural network, Proton exchange membrane fuel cell, Layer (electronics), Image (mathematics), Diffusion, Materials science, Fuel cells, Artificial neural network, Distribution (mathematics), Computer science, Artificial intelligence, Chemical engineering, Nanotechnology, Physics, Composite material, Mathematics, Engineering, Thermodynamics, Electrical engineering, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4406403673 |
|---|---|
| doi | https://doi.org/10.2139/ssrn.5098003 |
| ids.doi | https://doi.org/10.2139/ssrn.5098003 |
| ids.openalex | https://openalex.org/W4406403673 |
| fwci | 0.0 |
| type | preprint |
| title | The Prediction of the Optimal 2d Porosity Distribution of Gas Diffusion Layer in the Cathode of Pem Fuel Cell Using Convolutional Neural Network Image Learning |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T12676 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.8083000183105469 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Machine Learning and ELM |
| topics[1].id | https://openalex.org/T12111 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.7172999978065491 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2209 |
| topics[1].subfield.display_name | Industrial and Manufacturing Engineering |
| topics[1].display_name | Industrial Vision Systems and Defect Detection |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C6648577 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7406425476074219 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q622669 |
| concepts[0].display_name | Porosity |
| concepts[1].id | https://openalex.org/C49110097 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6950998306274414 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q175233 |
| concepts[1].display_name | Cathode |
| concepts[2].id | https://openalex.org/C81363708 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6689870953559875 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q17084460 |
| concepts[2].display_name | Convolutional neural network |
| concepts[3].id | https://openalex.org/C132319479 |
| concepts[3].level | 3 |
| concepts[3].score | 0.6630385518074036 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q899619 |
| concepts[3].display_name | Proton exchange membrane fuel cell |
| concepts[4].id | https://openalex.org/C2779227376 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5452530980110168 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q6505497 |
| concepts[4].display_name | Layer (electronics) |
| concepts[5].id | https://openalex.org/C115961682 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5297359228134155 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q860623 |
| concepts[5].display_name | Image (mathematics) |
| concepts[6].id | https://openalex.org/C69357855 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5159662365913391 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q163214 |
| concepts[6].display_name | Diffusion |
| concepts[7].id | https://openalex.org/C192562407 |
| concepts[7].level | 0 |
| concepts[7].score | 0.4861707091331482 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q228736 |
| concepts[7].display_name | Materials science |
| concepts[8].id | https://openalex.org/C2987658370 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4766940772533417 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q180253 |
| concepts[8].display_name | Fuel cells |
| concepts[9].id | https://openalex.org/C50644808 |
| concepts[9].level | 2 |
| concepts[9].score | 0.47281256318092346 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q192776 |
| concepts[9].display_name | Artificial neural network |
| concepts[10].id | https://openalex.org/C110121322 |
| concepts[10].level | 2 |
| concepts[10].score | 0.43468862771987915 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q865811 |
| concepts[10].display_name | Distribution (mathematics) |
| concepts[11].id | https://openalex.org/C41008148 |
| concepts[11].level | 0 |
| concepts[11].score | 0.38542166352272034 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[11].display_name | Computer science |
| concepts[12].id | https://openalex.org/C154945302 |
| concepts[12].level | 1 |
| concepts[12].score | 0.3364447355270386 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[12].display_name | Artificial intelligence |
| concepts[13].id | https://openalex.org/C42360764 |
| concepts[13].level | 1 |
| concepts[13].score | 0.3151877820491791 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q83588 |
| concepts[13].display_name | Chemical engineering |
| concepts[14].id | https://openalex.org/C171250308 |
| concepts[14].level | 1 |
| concepts[14].score | 0.1652407944202423 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q11468 |
| concepts[14].display_name | Nanotechnology |
| concepts[15].id | https://openalex.org/C121332964 |
| concepts[15].level | 0 |
| concepts[15].score | 0.15551745891571045 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[15].display_name | Physics |
| concepts[16].id | https://openalex.org/C159985019 |
| concepts[16].level | 1 |
| concepts[16].score | 0.1547064483165741 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q181790 |
| concepts[16].display_name | Composite material |
| concepts[17].id | https://openalex.org/C33923547 |
| concepts[17].level | 0 |
| concepts[17].score | 0.13701164722442627 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[17].display_name | Mathematics |
| concepts[18].id | https://openalex.org/C127413603 |
| concepts[18].level | 0 |
| concepts[18].score | 0.13291478157043457 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[18].display_name | Engineering |
| concepts[19].id | https://openalex.org/C97355855 |
| concepts[19].level | 1 |
| concepts[19].score | 0.12194037437438965 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q11473 |
| concepts[19].display_name | Thermodynamics |
| concepts[20].id | https://openalex.org/C119599485 |
| concepts[20].level | 1 |
| concepts[20].score | 0.11451452970504761 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q43035 |
| concepts[20].display_name | Electrical engineering |
| concepts[21].id | https://openalex.org/C134306372 |
| concepts[21].level | 1 |
| concepts[21].score | 0.07438203692436218 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[21].display_name | Mathematical analysis |
| keywords[0].id | https://openalex.org/keywords/porosity |
| keywords[0].score | 0.7406425476074219 |
| keywords[0].display_name | Porosity |
| keywords[1].id | https://openalex.org/keywords/cathode |
| keywords[1].score | 0.6950998306274414 |
| keywords[1].display_name | Cathode |
| keywords[2].id | https://openalex.org/keywords/convolutional-neural-network |
| keywords[2].score | 0.6689870953559875 |
| keywords[2].display_name | Convolutional neural network |
| keywords[3].id | https://openalex.org/keywords/proton-exchange-membrane-fuel-cell |
| keywords[3].score | 0.6630385518074036 |
| keywords[3].display_name | Proton exchange membrane fuel cell |
| keywords[4].id | https://openalex.org/keywords/layer |
| keywords[4].score | 0.5452530980110168 |
| keywords[4].display_name | Layer (electronics) |
| keywords[5].id | https://openalex.org/keywords/image |
| keywords[5].score | 0.5297359228134155 |
| keywords[5].display_name | Image (mathematics) |
| keywords[6].id | https://openalex.org/keywords/diffusion |
| keywords[6].score | 0.5159662365913391 |
| keywords[6].display_name | Diffusion |
| keywords[7].id | https://openalex.org/keywords/materials-science |
| keywords[7].score | 0.4861707091331482 |
| keywords[7].display_name | Materials science |
| keywords[8].id | https://openalex.org/keywords/fuel-cells |
| keywords[8].score | 0.4766940772533417 |
| keywords[8].display_name | Fuel cells |
| keywords[9].id | https://openalex.org/keywords/artificial-neural-network |
| keywords[9].score | 0.47281256318092346 |
| keywords[9].display_name | Artificial neural network |
| keywords[10].id | https://openalex.org/keywords/distribution |
| keywords[10].score | 0.43468862771987915 |
| keywords[10].display_name | Distribution (mathematics) |
| keywords[11].id | https://openalex.org/keywords/computer-science |
| keywords[11].score | 0.38542166352272034 |
| keywords[11].display_name | Computer science |
| keywords[12].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[12].score | 0.3364447355270386 |
| keywords[12].display_name | Artificial intelligence |
| keywords[13].id | https://openalex.org/keywords/chemical-engineering |
| keywords[13].score | 0.3151877820491791 |
| keywords[13].display_name | Chemical engineering |
| keywords[14].id | https://openalex.org/keywords/nanotechnology |
| keywords[14].score | 0.1652407944202423 |
| keywords[14].display_name | Nanotechnology |
| keywords[15].id | https://openalex.org/keywords/physics |
| keywords[15].score | 0.15551745891571045 |
| keywords[15].display_name | Physics |
| keywords[16].id | https://openalex.org/keywords/composite-material |
| keywords[16].score | 0.1547064483165741 |
| keywords[16].display_name | Composite material |
| keywords[17].id | https://openalex.org/keywords/mathematics |
| keywords[17].score | 0.13701164722442627 |
| keywords[17].display_name | Mathematics |
| keywords[18].id | https://openalex.org/keywords/engineering |
| keywords[18].score | 0.13291478157043457 |
| keywords[18].display_name | Engineering |
| keywords[19].id | https://openalex.org/keywords/thermodynamics |
| keywords[19].score | 0.12194037437438965 |
| keywords[19].display_name | Thermodynamics |
| keywords[20].id | https://openalex.org/keywords/electrical-engineering |
| keywords[20].score | 0.11451452970504761 |
| keywords[20].display_name | Electrical engineering |
| keywords[21].id | https://openalex.org/keywords/mathematical-analysis |
| keywords[21].score | 0.07438203692436218 |
| keywords[21].display_name | Mathematical analysis |
| language | en |
| locations[0].id | doi:10.2139/ssrn.5098003 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210172589 |
| locations[0].source.issn | 1556-5068 |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1556-5068 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | SSRN Electronic Journal |
| locations[0].source.host_organization | https://openalex.org/I1318003438 |
| locations[0].source.host_organization_name | RELX Group (Netherlands) |
| locations[0].source.host_organization_lineage | https://openalex.org/I1318003438 |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.2139/ssrn.5098003 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5009866726 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Sha Mi |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Sha Mi |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5005908287 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-9052-6732 |
| authorships[1].author.display_name | Zhiyi Wei |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Zhiyi Wei |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5102425663 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Lingling Cai |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Lingling Cai |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5114508799 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Xiaowei Xi |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Xiaowei Xi |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5036400396 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Zhigang Zang |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Zhiyin Zang |
| authorships[4].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.2139/ssrn.5098003 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | The Prediction of the Optimal 2d Porosity Distribution of Gas Diffusion Layer in the Cathode of Pem Fuel Cell Using Convolutional Neural Network Image Learning |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12676 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.8083000183105469 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Machine Learning and ELM |
| related_works | https://openalex.org/W2942800108, https://openalex.org/W2057884589, https://openalex.org/W4233683207, https://openalex.org/W4376506374, https://openalex.org/W3163182738, https://openalex.org/W2060932451, https://openalex.org/W2566120354, https://openalex.org/W2359594532, https://openalex.org/W2237020462, https://openalex.org/W1988177323 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.2139/ssrn.5098003 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210172589 |
| best_oa_location.source.issn | 1556-5068 |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1556-5068 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | SSRN Electronic Journal |
| best_oa_location.source.host_organization | https://openalex.org/I1318003438 |
| best_oa_location.source.host_organization_name | RELX Group (Netherlands) |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I1318003438 |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.2139/ssrn.5098003 |
| primary_location.id | doi:10.2139/ssrn.5098003 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210172589 |
| primary_location.source.issn | 1556-5068 |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1556-5068 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | SSRN Electronic Journal |
| primary_location.source.host_organization | https://openalex.org/I1318003438 |
| primary_location.source.host_organization_name | RELX Group (Netherlands) |
| primary_location.source.host_organization_lineage | https://openalex.org/I1318003438 |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.2139/ssrn.5098003 |
| publication_date | 2025-01-01 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index | |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.4699999988079071 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.0050441 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |