PENTAGON: Physics-enhanced neural network for volumetric flame chemiluminescence tomography
This study proposes a physics-enhanced neural network, PENTAGON, as an inference framework for volumetric tomography applications. By leveraging the synergistic combination of data-prior and forward-imaging model, we can accurately predict 3D optical fields, even when the number of projection views...
Saved in:
Published in | Optics express Vol. 32; no. 19; p. 32732 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
09.09.2024
|
Online Access | Get full text |
Cover
Loading…
Abstract | This study proposes a physics-enhanced neural network, PENTAGON, as an inference framework for volumetric tomography applications. By leveraging the synergistic combination of data-prior and forward-imaging model, we can accurately predict 3D optical fields, even when the number of projection views decreases to three. PENTAGON is proven to overcome the generalization limitation of data-driven deep learning methods due to data distribution shift, and eliminate distortions introduced by conventional iteration algorithms with limited projections. We evaluated PENTAGON using numerical and experimental results of a flame chemiluminescence tomography example. Results showed that PENTAGON can potentially be generalized for inverse tomography reconstruction problems in many fields. |
---|---|
AbstractList | This study proposes a physics-enhanced neural network, PENTAGON, as an inference framework for volumetric tomography applications. By leveraging the synergistic combination of data-prior and forward-imaging model, we can accurately predict 3D optical fields, even when the number of projection views decreases to three. PENTAGON is proven to overcome the generalization limitation of data-driven deep learning methods due to data distribution shift, and eliminate distortions introduced by conventional iteration algorithms with limited projections. We evaluated PENTAGON using numerical and experimental results of a flame chemiluminescence tomography example. Results showed that PENTAGON can potentially be generalized for inverse tomography reconstruction problems in many fields. |
Author | Situ, Guohai Zhu, Sunyong Wang, Fei Wu, Quanying Wang, Shouyu Jin, Ying |
Author_xml | – sequence: 1 givenname: Ying surname: Jin fullname: Jin, Ying – sequence: 2 givenname: Sunyong surname: Zhu fullname: Zhu, Sunyong – sequence: 3 givenname: Shouyu orcidid: 0000-0002-0466-1274 surname: Wang fullname: Wang, Shouyu – sequence: 4 givenname: Fei orcidid: 0000-0001-6755-0814 surname: Wang fullname: Wang, Fei – sequence: 5 givenname: Quanying surname: Wu fullname: Wu, Quanying – sequence: 6 givenname: Guohai orcidid: 0000-0002-9276-3288 surname: Situ fullname: Situ, Guohai |
BookMark | eNpNkD1PwzAYhC1UJNrCwD_wypBix18xW1WFglQ1HbIxRInzmgSSuLJTUP89QWVgek6nuxtugWaDGwChe0pWlEn-mKUrwaQQ5ArNKdE84iRRs3_6Bi1C-CCEcqXVHL0d0n2-3mb7J3xozqE1IYKhKQcDNR7g5Mtuwvjt_Ce2zuMv1516GH1rsO3KHrBpoG8nrx0gGJhqeHS9e_flsTnfomtbdgHu_rhE-XOab16iXbZ93ax3kaGCj5HRMaltrKo6ETE3VmtIrOSVIEpIW2mR1MxUVjIBNchYMya1MkIDpckUYkv0cJk13oXgwRZH3_alPxeUFL-nFFlaXE5hP_4mVww |
Cites_doi | 10.1007/s11431-019-1507-6 10.1364/AO.459725 10.1038/s41598-018-19426-7 10.1016/j.pacs.2022.100442 10.1017/jfm.2019.545 10.1016/j.ast.2020.106487 10.1364/OE.427730 10.1007/s10494-021-00251-4 10.1021/acsomega.2c01435 10.1017/jfm.2021.135 10.1016/j.jaecs.2023.100213 10.1073/pnas.1907377117 10.1145/362919.362925 10.3390/en15082770 10.1017/hpl.2023.47 10.1016/j.combustflame.2010.09.006 10.1364/OL.43.001107 10.1364/OL.477542 10.1109/ACCESS.2018.2890717 10.1364/AO.453660 10.1016/j.combustflame.2023.112743 10.1088/0266-5611/19/6/059 10.1016/j.combustflame.2023.113182 10.3390/en12112075 10.1038/s41377-021-00512-x 10.1364/OE.433888 10.1364/OE.25.004640 10.1364/OPTICA.446576 10.1016/j.combustflame.2021.111566 10.1016/j.ijleo.2022.169180 10.1364/AO.484213 10.1016/j.energy.2020.119521 10.1007/s00340-022-07896-7 10.1364/OL.40.001231 10.1364/AO.515383 10.1016/j.proci.2010.06.015 10.1016/j.combustflame.2020.11.022 10.1364/AO.32.003736 10.1364/AO.420223 10.1364/OE.379200 10.1016/j.ast.2023.108593 10.1364/AO.412637 10.1038/nature25988 10.1364/OPTICA.453748 10.1364/OE.27.027308 10.1364/PRJ.440123 10.1117/1.AP.4.6.066001 10.3788/AOS202242.1315002 10.1364/AO.45.004638 10.1007/s10494-021-00285-8 10.1038/s41377-020-0302-3 10.1117/1.AP.5.6.066003 10.1364/AO.392803 10.1364/JOSAB.398009 10.1016/j.ast.2020.106123 10.1016/j.pecs.2022.101024 10.1364/OE.412821 10.1364/AO.440847 10.1088/1361-6501/ac5437 |
ContentType | Journal Article |
DBID | AAYXX CITATION |
DOI | 10.1364/OE.536550 |
DatabaseName | CrossRef |
DatabaseTitle | CrossRef |
DatabaseTitleList | CrossRef |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Physics |
EISSN | 1094-4087 |
ExternalDocumentID | 10_1364_OE_536550 |
GroupedDBID | --- 123 29N 2WC 8SL AAWJZ AAYXX ACGFO ADBBV AENEX AKGWG ALMA_UNASSIGNED_HOLDINGS ATHME AYPRP AZSQR AZYMN BAWUL BCNDV CITATION CS3 DIK DSZJF DU5 E3Z EBS F5P GROUPED_DOAJ GX1 KQ8 M~E OFLFD OK1 OPJBK OPLUZ P2P RNS ROL ROP ROS TR2 TR6 XSB |
ID | FETCH-LOGICAL-c154t-c920df27bd8524cf99e8f64b50756fb958d3cbf635ede62933697c59e118b503 |
ISSN | 1094-4087 |
IngestDate | Thu Sep 12 20:33:50 EDT 2024 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 19 |
Language | English |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c154t-c920df27bd8524cf99e8f64b50756fb958d3cbf635ede62933697c59e118b503 |
ORCID | 0000-0001-6755-0814 0000-0002-0466-1274 0000-0002-9276-3288 |
OpenAccessLink | https://doi.org/10.1364/oe.536550 |
ParticipantIDs | crossref_primary_10_1364_OE_536550 |
PublicationCentury | 2000 |
PublicationDate | 2024-09-09 |
PublicationDateYYYYMMDD | 2024-09-09 |
PublicationDate_xml | – month: 09 year: 2024 text: 2024-09-09 day: 09 |
PublicationDecade | 2020 |
PublicationTitle | Optics express |
PublicationYear | 2024 |
References | Yoon (oe-32-19-32732-R15) 2019; 7 Zhang (oe-32-19-32732-R47) 2023; 142 Yu (oe-32-19-32732-R46) 2018; 43 Dong (oe-32-19-32732-R35) 2021; 107 Wang (oe-32-19-32732-R29) 2020; 9 Yu (oe-32-19-32732-R39) 2021; 29 Wang (oe-32-19-32732-R9) 2015; 40 Qiao (oe-32-19-32732-R33) 2023; 48 Gordon (oe-32-19-32732-R6) 1971; 14 Döpp (oe-32-19-32732-R22) 2023; 11 Wu (oe-32-19-32732-R36) 2022; 61 Floyd (oe-32-19-32732-R45) 2011; 158 Jin (oe-32-19-32732-R37) 2017; 25 Shen (oe-32-19-32732-R53) 2021; 218 Chen (oe-32-19-32732-R58) 2022; 7 Martins (oe-32-19-32732-R44) 2023; 16 Molnar (oe-32-19-32732-R24) 2022; 33 Cai (oe-32-19-32732-R25) 2021; 915 Zhou (oe-32-19-32732-R31) 2020; 28 Dong (oe-32-19-32732-R48) 2021; 232 Huang (oe-32-19-32732-R60) 2019; 875 Daun (oe-32-19-32732-R10) 2006; 45 Saba (oe-32-19-32732-R27) 2022; 4 Shui (oe-32-19-32732-R11) 2021; 64 Nie (oe-32-19-32732-R40) 2024; 259 Zhu (oe-32-19-32732-R4) 2018; 555 Cai (oe-32-19-32732-R61) 2020; 37 Grauer (oe-32-19-32732-R2) 2023; 94 Qiao (oe-32-19-32732-R20) 2022; 9 Yan (oe-32-19-32732-R43) 2022; 15 Unterberger (oe-32-19-32732-R16) 2019; 12 Chorey (oe-32-19-32732-R38) 2023; 62 Zhu (oe-32-19-32732-R63) 2022; 42 Wang (oe-32-19-32732-R17) 2021; 60 Windle (oe-32-19-32732-R52) 2021; 224 Jin (oe-32-19-32732-R34) 2019; 27 Gao (oe-32-19-32732-R51) 2022; 128 Shen (oe-32-19-32732-R1) 2022; 35 Dai (oe-32-19-32732-R62) 2023; 252 Huang (oe-32-19-32732-R54) 2020; 106 Lan (oe-32-19-32732-R5) 2023; 29 Song (oe-32-19-32732-R49) 2022; 261 Chen (oe-32-19-32732-R50) 2022; 61 Verhoeven (oe-32-19-32732-R8) 1993; 32 Chi (oe-32-19-32732-R42) 2022; 108 Jin (oe-32-19-32732-R13) 2021; 60 Cai (oe-32-19-32732-R55) 2021; 110 Yang (oe-32-19-32732-R3) 2018; 8 Wei (oe-32-19-32732-R26) 2021; 29 Tong (oe-32-19-32732-R23) 2023; 5 Wang (oe-32-19-32732-R14) 2022; 61 Wang (oe-32-19-32732-R30) 2022; 10 Zhao (oe-32-19-32732-R32) 2021; 29 Xu (oe-32-19-32732-R57) 2020; 59 Antun (oe-32-19-32732-R21) 2020; 117 Floyd (oe-32-19-32732-R7) 2011; 33 Shan (oe-32-19-32732-R59) 2024; 63 Feng (oe-32-19-32732-R19) 2022; 9 Kang (oe-32-19-32732-R18) 2021; 10 Strong (oe-32-19-32732-R12) 2003; 19 |
References_xml | – volume: 64 start-page: 237 year: 2021 ident: oe-32-19-32732-R11 publication-title: Sci. China Technol. Sci. doi: 10.1007/s11431-019-1507-6 contributor: fullname: Shui – volume: 61 start-page: 5161 year: 2022 ident: oe-32-19-32732-R36 publication-title: Appl. Opt. doi: 10.1364/AO.459725 contributor: fullname: Wu – volume: 8 start-page: 2575 year: 2018 ident: oe-32-19-32732-R3 publication-title: Sci. Rep. doi: 10.1038/s41598-018-19426-7 contributor: fullname: Yang – volume: 29 start-page: 100442 year: 2023 ident: oe-32-19-32732-R5 publication-title: Photoacoustics doi: 10.1016/j.pacs.2022.100442 contributor: fullname: Lan – volume: 875 start-page: R2 year: 2019 ident: oe-32-19-32732-R60 publication-title: J. Fluid Mech. doi: 10.1017/jfm.2019.545 contributor: fullname: Huang – volume: 110 start-page: 106487 year: 2021 ident: oe-32-19-32732-R55 publication-title: Aerosp. Sci. Technol. doi: 10.1016/j.ast.2020.106487 contributor: fullname: Cai – volume: 29 start-page: 22553 year: 2021 ident: oe-32-19-32732-R26 publication-title: Opt. Express doi: 10.1364/OE.427730 contributor: fullname: Wei – volume: 107 start-page: 759 year: 2021 ident: oe-32-19-32732-R35 publication-title: Flow, Turbul. Combust. doi: 10.1007/s10494-021-00251-4 contributor: fullname: Dong – volume: 7 start-page: 18722 year: 2022 ident: oe-32-19-32732-R58 publication-title: ACS Omega doi: 10.1021/acsomega.2c01435 contributor: fullname: Chen – volume: 915 start-page: A102 year: 2021 ident: oe-32-19-32732-R25 publication-title: J. Fluid Mech. doi: 10.1017/jfm.2021.135 contributor: fullname: Cai – volume: 16 start-page: 100213 year: 2023 ident: oe-32-19-32732-R44 publication-title: Appl. Energy Combust. Sci. doi: 10.1016/j.jaecs.2023.100213 contributor: fullname: Martins – volume: 117 start-page: 30088 year: 2020 ident: oe-32-19-32732-R21 publication-title: P. Natl. A. Sci. doi: 10.1073/pnas.1907377117 contributor: fullname: Antun – volume: 14 start-page: 759 year: 1971 ident: oe-32-19-32732-R6 publication-title: Commun. ACM doi: 10.1145/362919.362925 contributor: fullname: Gordon – volume: 15 start-page: 2770 year: 2022 ident: oe-32-19-32732-R43 publication-title: Energies doi: 10.3390/en15082770 contributor: fullname: Yan – volume: 11 start-page: 05000e year: 2023 ident: oe-32-19-32732-R22 publication-title: High Power Laser SCI. doi: 10.1017/hpl.2023.47 contributor: fullname: Döpp – volume: 158 start-page: 376 year: 2011 ident: oe-32-19-32732-R45 publication-title: Combust. Flame doi: 10.1016/j.combustflame.2010.09.006 contributor: fullname: Floyd – volume: 43 start-page: 1107 year: 2018 ident: oe-32-19-32732-R46 publication-title: Opt. Lett. doi: 10.1364/OL.43.001107 contributor: fullname: Yu – volume: 48 start-page: 109 year: 2023 ident: oe-32-19-32732-R33 publication-title: Opt. Lett. doi: 10.1364/OL.477542 contributor: fullname: Qiao – volume: 7 start-page: 8876 year: 2019 ident: oe-32-19-32732-R15 publication-title: IEEE Access doi: 10.1109/ACCESS.2018.2890717 contributor: fullname: Yoon – volume: 35 start-page: 770 year: 2022 ident: oe-32-19-32732-R1 publication-title: IEEE T. Neur. Net. Lear. contributor: fullname: Shen – volume: 61 start-page: 2620 year: 2022 ident: oe-32-19-32732-R50 publication-title: Appl. Opt. doi: 10.1364/AO.453660 contributor: fullname: Chen – volume: 252 start-page: 112743 year: 2023 ident: oe-32-19-32732-R62 publication-title: Combust. Flame doi: 10.1016/j.combustflame.2023.112743 contributor: fullname: Dai – volume: 19 start-page: S165 year: 2003 ident: oe-32-19-32732-R12 publication-title: Inverse Problom. doi: 10.1088/0266-5611/19/6/059 contributor: fullname: Strong – volume: 259 start-page: 113182 year: 2024 ident: oe-32-19-32732-R40 publication-title: Combust. Flame doi: 10.1016/j.combustflame.2023.113182 contributor: fullname: Nie – volume: 12 start-page: 2075 year: 2019 ident: oe-32-19-32732-R16 publication-title: Energies doi: 10.3390/en12112075 contributor: fullname: Unterberger – volume: 10 start-page: 74 year: 2021 ident: oe-32-19-32732-R18 publication-title: Light: Sci. Appl. doi: 10.1038/s41377-021-00512-x contributor: fullname: Kang – volume: 29 start-page: 24576 year: 2021 ident: oe-32-19-32732-R32 publication-title: Opt. Express doi: 10.1364/OE.433888 contributor: fullname: Zhao – volume: 25 start-page: 4640 year: 2017 ident: oe-32-19-32732-R37 publication-title: Opt. Express doi: 10.1364/OE.25.004640 contributor: fullname: Jin – volume: 9 start-page: 264 year: 2022 ident: oe-32-19-32732-R19 publication-title: Optica doi: 10.1364/OPTICA.446576 contributor: fullname: Feng – volume: 232 start-page: 111566 year: 2021 ident: oe-32-19-32732-R48 publication-title: Combust. Flame doi: 10.1016/j.combustflame.2021.111566 contributor: fullname: Dong – volume: 261 start-page: 169180 year: 2022 ident: oe-32-19-32732-R49 publication-title: Optik doi: 10.1016/j.ijleo.2022.169180 contributor: fullname: Song – volume: 62 start-page: 3737 year: 2023 ident: oe-32-19-32732-R38 publication-title: Appl. Opt. doi: 10.1364/AO.484213 contributor: fullname: Chorey – volume: 218 start-page: 119521 year: 2021 ident: oe-32-19-32732-R53 publication-title: Energy doi: 10.1016/j.energy.2020.119521 contributor: fullname: Shen – volume: 128 start-page: 173 year: 2022 ident: oe-32-19-32732-R51 publication-title: Appl. Phys. B doi: 10.1007/s00340-022-07896-7 contributor: fullname: Gao – volume: 40 start-page: 1231 year: 2015 ident: oe-32-19-32732-R9 publication-title: Opt. Lett. doi: 10.1364/OL.40.001231 contributor: fullname: Wang – volume: 63 start-page: 1982 year: 2024 ident: oe-32-19-32732-R59 publication-title: Appl. Opt. doi: 10.1364/AO.515383 contributor: fullname: Shan – volume: 33 start-page: 751 year: 2011 ident: oe-32-19-32732-R7 publication-title: Proc. Combust. Inst. doi: 10.1016/j.proci.2010.06.015 contributor: fullname: Floyd – volume: 224 start-page: 225 year: 2021 ident: oe-32-19-32732-R52 publication-title: Combust. Flame doi: 10.1016/j.combustflame.2020.11.022 contributor: fullname: Windle – volume: 32 start-page: 3736 year: 1993 ident: oe-32-19-32732-R8 publication-title: Appl. Opt. doi: 10.1364/AO.32.003736 contributor: fullname: Verhoeven – volume: 60 start-page: 4273 year: 2021 ident: oe-32-19-32732-R17 publication-title: Appl. Opt. doi: 10.1364/AO.420223 contributor: fullname: Wang – volume: 28 start-page: 12872 year: 2020 ident: oe-32-19-32732-R31 publication-title: Opt. Express doi: 10.1364/OE.379200 contributor: fullname: Zhou – volume: 142 start-page: 108593 year: 2023 ident: oe-32-19-32732-R47 publication-title: Aerosp. Sci. Technol. doi: 10.1016/j.ast.2023.108593 contributor: fullname: Zhang – volume: 60 start-page: 513 year: 2021 ident: oe-32-19-32732-R13 publication-title: Appl. Opt. doi: 10.1364/AO.412637 contributor: fullname: Jin – volume: 555 start-page: 487 year: 2018 ident: oe-32-19-32732-R4 publication-title: Nature doi: 10.1038/nature25988 contributor: fullname: Zhu – volume: 9 start-page: 391 year: 2022 ident: oe-32-19-32732-R20 publication-title: Optica doi: 10.1364/OPTICA.453748 contributor: fullname: Qiao – volume: 27 start-page: 27308 year: 2019 ident: oe-32-19-32732-R34 publication-title: Opt. Express doi: 10.1364/OE.27.027308 contributor: fullname: Jin – volume: 10 start-page: 104 year: 2022 ident: oe-32-19-32732-R30 publication-title: Photonics Res. doi: 10.1364/PRJ.440123 contributor: fullname: Wang – volume: 4 start-page: 066001 year: 2022 ident: oe-32-19-32732-R27 publication-title: Adv. Photonics doi: 10.1117/1.AP.4.6.066001 contributor: fullname: Saba – volume: 42 start-page: 1315002 year: 2022 ident: oe-32-19-32732-R63 publication-title: Acta Opt. Sinica doi: 10.3788/AOS202242.1315002 contributor: fullname: Zhu – volume: 45 start-page: 4638 year: 2006 ident: oe-32-19-32732-R10 publication-title: Appl. Opt. doi: 10.1364/AO.45.004638 contributor: fullname: Daun – volume: 108 start-page: 539 year: 2022 ident: oe-32-19-32732-R42 publication-title: Flow, Turbul. Combust. doi: 10.1007/s10494-021-00285-8 contributor: fullname: Chi – volume: 9 start-page: 77 year: 2020 ident: oe-32-19-32732-R29 publication-title: Light: Sci. Appl. doi: 10.1038/s41377-020-0302-3 contributor: fullname: Wang – volume: 5 start-page: 066003 year: 2023 ident: oe-32-19-32732-R23 publication-title: Adv. Photonics doi: 10.1117/1.AP.5.6.066003 contributor: fullname: Tong – volume: 59 start-page: 5729 year: 2020 ident: oe-32-19-32732-R57 publication-title: Appl. Opt. doi: 10.1364/AO.392803 contributor: fullname: Xu – volume: 37 start-page: 3564 year: 2020 ident: oe-32-19-32732-R61 publication-title: J. Opt. Soc. Am. B doi: 10.1364/JOSAB.398009 contributor: fullname: Cai – volume: 106 start-page: 106123 year: 2020 ident: oe-32-19-32732-R54 publication-title: Aerosp. Sci. Technol. doi: 10.1016/j.ast.2020.106123 contributor: fullname: Huang – volume: 94 start-page: 101024 year: 2023 ident: oe-32-19-32732-R2 publication-title: Prog. Energy Combust. Sci. doi: 10.1016/j.pecs.2022.101024 contributor: fullname: Grauer – volume: 29 start-page: 5304 year: 2021 ident: oe-32-19-32732-R39 publication-title: Opt. Express doi: 10.1364/OE.412821 contributor: fullname: Yu – volume: 61 start-page: B1 year: 2022 ident: oe-32-19-32732-R14 publication-title: Appl. Opt. doi: 10.1364/AO.440847 contributor: fullname: Wang – volume: 33 start-page: 065305 year: 2022 ident: oe-32-19-32732-R24 publication-title: Meas. Sci. Technol. doi: 10.1088/1361-6501/ac5437 contributor: fullname: Molnar |
SSID | ssj0014797 |
Score | 2.5053656 |
Snippet | This study proposes a physics-enhanced neural network, PENTAGON, as an inference framework for volumetric tomography applications. By leveraging the... |
SourceID | crossref |
SourceType | Aggregation Database |
StartPage | 32732 |
Title | PENTAGON: Physics-enhanced neural network for volumetric flame chemiluminescence tomography |
Volume | 32 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1NT9wwELUoVaVeEC2tCgVkVb2hUJTYTtwbQqGoErsctgLEYRXbY8GB7KrNSqWH_vaOP_LRZQ-0l2g1SnajvLf2zPj5hZCPbvGokgySlFnAAkVXSVVBldgjCzhfcW78JrHzkTj7xr5e8ateyut3lzTqUP9aua_kf1DFGOLqdsn-A7Ldl2IAPyO-eESE8fgkjC_K0eT4y3jkynov5dQ_Eqhv46I-eEeNOui8vZwwDEXOk__AIhPgQDu7AIw57bv2__Fmdj80sY5p63ju3Zzh57xTbDjVTfAfuG5nP99_XgStT_0w66OXbVP6drZ4WCxHT-Fu2HtImRdXycFwicUhAhynTFgRi2Ns38N0XJKDETPD_CldOZZngiEA4_KQZ4IHd9q__bKX5rFOXegX6QSbjstpuPQZeZ7mkjvF5_nvsltkYnl49057w9F4Ci_91P3qIF0Z5B2TTbIRCwZ6HNB_Rdagfk1eRLS3yE3Lgc90mQE0MIBGBlBkAO0ZQD0D6CMG0J4Bb8jktJycnCXxhRmJxky4SbRMj4xNc2UKnjJtpYTCCqYw5-fCKskLk2llMccEAwITvUzIXHMJWGXiSdlbsl7PanhHaJ4prbCSzwyTLM91pQvDi0pLkwoFxm6TD-1jmc6DLcr00WPfecpJ78nLnlm7ZL35voA9zPMate_7I_sesz9RK1ZJ |
link.rule.ids | 315,786,790,870,27955,27956 |
linkProvider | ISSN International Centre |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=PENTAGON%3A+Physics-enhanced+neural+network+for+volumetric+flame+chemiluminescence+tomography&rft.jtitle=Optics+express&rft.au=Jin%2C+Ying&rft.au=Zhu%2C+Sunyong&rft.au=Wang%2C+Shouyu&rft.au=Wang%2C+Fei&rft.date=2024-09-09&rft.issn=1094-4087&rft.eissn=1094-4087&rft.volume=32&rft.issue=19&rft.spage=32732&rft_id=info:doi/10.1364%2FOE.536550&rft.externalDBID=n%2Fa&rft.externalDocID=10_1364_OE_536550 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1094-4087&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1094-4087&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1094-4087&client=summon |