{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T12:58:48Z","timestamp":1776085128335,"version":"3.50.1"},"reference-count":91,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,8,5]],"date-time":"2021-08-05T00:00:00Z","timestamp":1628121600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,8,5]],"date-time":"2021-08-05T00:00:00Z","timestamp":1628121600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2022,1]]},"DOI":"10.1007\/s00521-021-06366-z","type":"journal-article","created":{"date-parts":[[2021,8,5]],"date-time":"2021-08-05T07:02:51Z","timestamp":1628146971000},"page":"271-282","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Artificial neural network for prediction of thermal conductivity of rGO\u2013metal oxide nanocomposite-based nanofluids"],"prefix":"10.1007","volume":"34","author":[{"given":"Divya P.","family":"Barai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bharat A.","family":"Bhanvase","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shekhar L.","family":"Pandharipande","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,5]]},"reference":[{"key":"6366_CR1","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1115\/1.1532008","volume":"231","author":"SUS Choi","year":"1995","unstructured":"Choi SUS, Eastman JA (1995) Enhancing thermal conductivity of fluids with nanoparticles. Am Soc Mech Eng Fluids Eng Div Fed 231:99\u2013105. https:\/\/doi.org\/10.1115\/1.1532008","journal-title":"Am Soc Mech Eng Fluids Eng Div Fed"},{"key":"6366_CR2","volume-title":"A treatise on electricity and magnetism","author":"JC Maxwell","year":"1954","unstructured":"Maxwell JC (1954) A treatise on electricity and magnetism, 2nd edn. Clarendon Press, Oxford","edition":"2"},{"key":"6366_CR3","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1080\/01457630600904593","volume":"27","author":"SK Das","year":"2006","unstructured":"Das SK, Choi SUS, Patel HE (2006) Heat transfer in nanofluids\u2014a review. Heat Transf Eng 27:3\u201319. https:\/\/doi.org\/10.1080\/01457630600904593","journal-title":"Heat Transf Eng"},{"key":"6366_CR4","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.rser.2017.03.043","volume":"76","author":"KS Suganthi","year":"2017","unstructured":"Suganthi KS, Rajan KS (2017) Metal oxide nanofluids: review of formulation, thermo-physical properties, mechanisms, and heat transfer performance. Renew Sustain Energy Rev 76:226\u2013255. https:\/\/doi.org\/10.1016\/j.rser.2017.03.043","journal-title":"Renew Sustain Energy Rev"},{"key":"6366_CR5","doi-asserted-by":"publisher","first-page":"2221","DOI":"10.1007\/s10973-018-7304-x","volume":"135","author":"V Kumar","year":"2019","unstructured":"Kumar V, Pandya N, Pandya B, Joshi A (2019) Synthesis of metal-based nanofluids and their thermo-hydraulic performance in compact heat exchanger with multi-louvered fins working under laminar conditions. J Therm Anal Calorim 135:2221\u20132235. https:\/\/doi.org\/10.1007\/s10973-018-7304-x","journal-title":"J Therm Anal Calorim"},{"key":"6366_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-33774-2_1","author":"DP Barai","year":"2020","unstructured":"Barai DP, Chichghare KK, Chawhan SS, Bhanvase BA (2020) Synthesis and characterization of nanofluids: thermal conductivity. Electr Conduct Particle Size Distrib. https:\/\/doi.org\/10.1007\/978-3-030-33774-2_1","journal-title":"Electr Conduct Particle Size Distrib"},{"key":"6366_CR7","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.icheatmasstransfer.2016.09.002","volume":"78","author":"S Devireddy","year":"2016","unstructured":"Devireddy S, Mekala CSR, Veeredhi VR (2016) Improving the cooling performance of automobile radiator with ethylene glycol water based TiO2 nanofluids. Int Commun Heat Mass Transf 78:121\u2013126. https:\/\/doi.org\/10.1016\/j.icheatmasstransfer.2016.09.002","journal-title":"Int Commun Heat Mass Transf"},{"key":"6366_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.molliq.2019.112014","volume":"297","author":"F Abbas","year":"2020","unstructured":"Abbas F, Ali HM, Shah TR, Babar H, Janjua MM, Sajjad U, Amer M (2020) Nanofluid: potential evaluation in automotive radiator. J Mol Liq 297:112014. https:\/\/doi.org\/10.1016\/j.molliq.2019.112014","journal-title":"J Mol Liq"},{"key":"6366_CR9","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.enconman.2015.11.053","volume":"109","author":"S Askari","year":"2016","unstructured":"Askari S, Lotfi R, Seifkordi A, Rashidi AM, Koolivand H (2016) A novel approach for energy and water conservation in wet cooling towers by using MWNTs and nanoporous graphene nanofluids. Energy Convers Manag 109:10\u201318. https:\/\/doi.org\/10.1016\/j.enconman.2015.11.053","journal-title":"Energy Convers Manag"},{"key":"6366_CR10","doi-asserted-by":"publisher","first-page":"3656","DOI":"10.1016\/j.rser.2017.10.097","volume":"82","author":"A Bhattad","year":"2018","unstructured":"Bhattad A, Sarkar J, Ghosh P (2018) Improving the performance of refrigeration systems by using nanofluids: a comprehensive review. Renew Sustain Energy Rev 82:3656\u20133669. https:\/\/doi.org\/10.1016\/j.rser.2017.10.097","journal-title":"Renew Sustain Energy Rev"},{"key":"6366_CR11","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1201\/9780429468223-13","volume-title":"Nanofluids their engineering applications","author":"KK Chichghare","year":"2019","unstructured":"Chichghare KK, Barai DP, Bhanvase BA (2019) Applications of nanofluids in solar thermal systems. In: Subramanian KRV, Rao TN, Balakrishnan A (eds) Nanofluids their engineering applications. Taylor & Francis, Boca Raton, pp 275\u2013314"},{"key":"6366_CR12","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1016\/j.renene.2019.06.097","volume":"145","author":"N Goel","year":"2020","unstructured":"Goel N, Taylor RA, Otanicar T (2020) A review of nanofluid-based direct absorption solar collectors: design considerations and experiments with hybrid PV\/Thermal and direct steam generation collectors. Renew Energy 145:903\u2013913. https:\/\/doi.org\/10.1016\/j.renene.2019.06.097","journal-title":"Renew Energy"},{"key":"6366_CR13","doi-asserted-by":"publisher","first-page":"902","DOI":"10.1021\/nl0731872","volume":"8","author":"AA Balandin","year":"2008","unstructured":"Balandin AA, Ghosh S, Bao W, Calizo I, Teweldebrhan D, Miao F, Lau CN (2008) Superior thermal conductivity of single-layer graphene. Nano Lett 8:902\u2013907. https:\/\/doi.org\/10.1021\/nl0731872","journal-title":"Nano Lett"},{"key":"6366_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1556-276X-6-289","volume":"6","author":"TT Baby","year":"2011","unstructured":"Baby TT, Ramaprabhu S (2011) Enhanced convective heat transfer using graphene dispersed nanofluids. Nanoscale Res Lett 6:1\u20139. https:\/\/doi.org\/10.1186\/1556-276X-6-289","journal-title":"Nanoscale Res Lett"},{"key":"6366_CR15","doi-asserted-by":"publisher","DOI":"10.1088\/0957-4484\/21\/5\/055705","author":"W Yu","year":"2010","unstructured":"Yu W, Xie H, Bao D (2010) Enhanced thermal conductivities of nanofluids containing graphene oxide nanosheets. Nanotechnology. https:\/\/doi.org\/10.1088\/0957-4484\/21\/5\/055705","journal-title":"Nanotechnology"},{"key":"6366_CR16","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.icheatmasstransfer.2012.12.007","volume":"42","author":"A Ghozatloo","year":"2013","unstructured":"Ghozatloo A, Shariaty-Niasar M, Rashidi AM (2013) Preparation of nanofluids from functionalized graphene by new alkaline method and study on the thermal conductivity and stability. Int Commun Heat Mass Transf 42:89\u201394. https:\/\/doi.org\/10.1016\/j.icheatmasstransfer.2012.12.007","journal-title":"Int Commun Heat Mass Transf"},{"key":"6366_CR17","doi-asserted-by":"publisher","first-page":"10231","DOI":"10.1021\/acs.iecr.0c00865","volume":"59","author":"DP Barai","year":"2020","unstructured":"Barai DP, Bhanvase BA, Sonawane SH (2020) A review on graphene derivatives-based nanofluids: investigation on properties and heat transfer characteristics. Ind Eng Chem Res 59:10231\u201310277. https:\/\/doi.org\/10.1021\/acs.iecr.0c00865","journal-title":"Ind Eng Chem Res"},{"key":"6366_CR18","doi-asserted-by":"publisher","first-page":"62284","DOI":"10.1039\/c5ra10593e","volume":"5","author":"MM Devi","year":"2015","unstructured":"Devi MM, Sahu SR, Mukherjee P, Sen P, Biswas K (2015) Graphene: a self-reducing template for synthesis of graphene-nanoparticles hybrids. RSC Adv 5:62284\u201362289. https:\/\/doi.org\/10.1039\/c5ra10593e","journal-title":"RSC Adv"},{"key":"6366_CR19","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1080\/1536383X.2014.894025","volume":"23","author":"Z \u00c7iplak","year":"2015","unstructured":"\u00c7iplak Z, Yildiz N, C\u0105limli A (2015) Investigation of graphene\/Ag nanocomposites synthesis parameters for two different synthesis methods. Fulleren Nanotub Carbon Nanostruct 23:361\u2013370. https:\/\/doi.org\/10.1080\/1536383X.2014.894025","journal-title":"Fulleren Nanotub Carbon Nanostruct"},{"key":"6366_CR20","doi-asserted-by":"publisher","first-page":"3421","DOI":"10.1038\/srep03421","volume":"3","author":"X Zhao","year":"2013","unstructured":"Zhao X, Zhang Z, Wang L, Xi K, Cao Q, Wang D, Yang Y, Du Y (2013) Excellent microwave absorption property of Graphene-coated Fe nanocomposites. Sci Rep 3:3421. https:\/\/doi.org\/10.1038\/srep03421","journal-title":"Sci Rep"},{"key":"6366_CR21","doi-asserted-by":"publisher","first-page":"351","DOI":"10.15625\/0868-3166\/26\/4\/8705","volume":"26","author":"P van Trinh","year":"2017","unstructured":"van Trinh P, Ngoc-Anh N, Dinh-Quang L, Hung-Thang B, Ngoc-Hong P, Tuan-Hong N, Hong-Khoi P, Ngoc-Minh P (2017) thermal conductivity of ethylene glycol based copper nanoparticle decorated graphene nanofluids. Commun Phys 26:351\u2013360. https:\/\/doi.org\/10.15625\/0868-3166\/26\/4\/8705","journal-title":"Commun Phys"},{"key":"6366_CR22","doi-asserted-by":"publisher","first-page":"961","DOI":"10.1016\/j.applthermaleng.2016.12.054","volume":"114","author":"Y Fu","year":"2017","unstructured":"Fu Y, Mei T, Wang G, Guo A, Dai G, Wang S, Wang J, Li J, Wang X (2017) Investigation on enhancing effects of Au nanoparticles on solar steam generation in graphene oxide nanofluids. Appl Therm Eng 114:961\u2013968. https:\/\/doi.org\/10.1016\/j.applthermaleng.2016.12.054","journal-title":"Appl Therm Eng"},{"key":"6366_CR23","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/986764","author":"AR Sadrolhosseini","year":"2013","unstructured":"Sadrolhosseini AR, Shameli K, Kharazmi A (2013) Preparation of graphene oxide stabilized nickel nanoparticles with thermal effusivity properties by laser ablation method. J Nanomater. https:\/\/doi.org\/10.1155\/2013\/986764","journal-title":"J Nanomater"},{"key":"6366_CR24","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.icheatmasstransfer.2016.07.010","volume":"77","author":"H Yarmand","year":"2016","unstructured":"Yarmand H, Gharehkhani S, Shirazi SFS, Goodarzi M, Amiri A, Sarsam WS, Alehashem MS, Dahari M, Kazi SN (2016) Study of synthesis, stability and thermo-physical properties of graphene nanoplatelet\/platinum hybrid nanofluid. Int Commun Heat Mass Transf 77:15\u201321. https:\/\/doi.org\/10.1016\/j.icheatmasstransfer.2016.07.010","journal-title":"Int Commun Heat Mass Transf"},{"key":"6366_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/21622515.2016.1264489","volume":"6","author":"BA Bhanvase","year":"2017","unstructured":"Bhanvase BA, Shende TP, Sonawane SH (2017) A review on graphene\u2013TiO2 and doped graphene\u2013TiO2 nanocomposite photocatalyst for water and wastewater treatment. Environ Technol Rev 6:1\u201314. https:\/\/doi.org\/10.1080\/21622515.2016.1264489","journal-title":"Environ Technol Rev"},{"key":"6366_CR26","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1016\/j.carbon.2014.07.063","volume":"79","author":"VK Singh","year":"2014","unstructured":"Singh VK, Elomaa O, Johansson L-SS, Hannula S-PP, Koskinen J (2014) Lubricating properties of silica\/graphene oxide composite powders. Carbon N Y 79:227\u2013235. https:\/\/doi.org\/10.1016\/j.carbon.2014.07.063","journal-title":"Carbon N Y"},{"key":"6366_CR27","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1016\/j.apsusc.2015.10.125","volume":"362","author":"AM Jastrz\u0119bska","year":"2016","unstructured":"Jastrz\u0119bska AM, Karcz J, Letmanowski R, Zabost D, Ciecierska E, Zdunek J, Karwowska E, Siekierski M, Olszyna A, Kunicki A (2016) Synthesis of the RGO\/Al2O3 core\u2013shell nanocomposite flakes and characterization of their unique electrostatic properties using zeta potential measurements. Appl Surf Sci 362:577\u2013594. https:\/\/doi.org\/10.1016\/j.apsusc.2015.10.125","journal-title":"Appl Surf Sci"},{"key":"6366_CR28","doi-asserted-by":"publisher","first-page":"8329","DOI":"10.1039\/C8RA00095F","volume":"8","author":"M Ikram","year":"2018","unstructured":"Ikram M, Tao Z, Ye J, Qayyum HA, Sun X, Xu J (2018) Enhanced physical properties of \u03b3-Al2O3 \u2013rGO hybrids prepared by solvothermal and hot-press processing. RSC Adv 8:8329\u20138337. https:\/\/doi.org\/10.1039\/C8RA00095F","journal-title":"RSC Adv"},{"key":"6366_CR29","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.cep.2014.07.004","volume":"83","author":"MP Deosarkar","year":"2014","unstructured":"Deosarkar MP, Pawar SM, Bhanvase BA (2014) In-situ sonochemical synthesis of Fe3O4-graphene nanocomposite for lithium rechargeable batteries. Chem Eng Process Process Intensif 83:49\u201355. https:\/\/doi.org\/10.1016\/j.cep.2014.07.004","journal-title":"Chem Eng Process Process Intensif"},{"key":"6366_CR30","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.cep.2013.05.008","volume":"70","author":"MP Deosarkar","year":"2013","unstructured":"Deosarkar MP, Pawar SM, Sonawane SH, Bhanvase BA (2013) Process intensification of uniform loading of SnO2 nanoparticles on graphene oxide nanosheets using a novel ultrasound assisted in situ chemical precipitation method. Chem Eng Process Process Intensif 70:48\u201354. https:\/\/doi.org\/10.1016\/j.cep.2013.05.008","journal-title":"Chem Eng Process Process Intensif"},{"key":"6366_CR31","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1016\/j.snb.2015.11.024","volume":"225","author":"D Zhang","year":"2016","unstructured":"Zhang D, Chang H, Li P, Liu R, Xue Q (2016) Fabrication and characterization of an ultrasensitive humidity sensor based on metal oxide\/graphene hybrid nanocomposite. Sens Actuat B Chem 225:233\u2013240. https:\/\/doi.org\/10.1016\/j.snb.2015.11.024","journal-title":"Sens Actuat B Chem"},{"key":"6366_CR32","doi-asserted-by":"publisher","first-page":"14397","DOI":"10.1021\/acsami.5b03196","volume":"7","author":"FP Du","year":"2015","unstructured":"Du FP, Yang W, Zhang F, Tang CY, Liu SP, Yin L, Law WC (2015) Enhancing the heat transfer efficiency in graphene-epoxy nanocomposites using a magnesium oxide-graphene hybrid structure. ACS Appl Mater Interfaces 7:14397\u201314403. https:\/\/doi.org\/10.1021\/acsami.5b03196","journal-title":"ACS Appl Mater Interfaces"},{"key":"6366_CR33","doi-asserted-by":"publisher","first-page":"2277","DOI":"10.1002\/slct.201601637","volume":"2","author":"S Rana","year":"2017","unstructured":"Rana S, Jonnalagadda SB (2017) CuO\/graphene oxide nanocomposite as highly active and durable catalyst for selective oxidation of cyclohexane. ChemistrySelect 2:2277\u20132281. https:\/\/doi.org\/10.1002\/slct.201601637","journal-title":"ChemistrySelect"},{"key":"6366_CR34","doi-asserted-by":"publisher","first-page":"21","DOI":"10.3390\/coatings8010021","volume":"8","author":"C-H Tsai","year":"2018","unstructured":"Tsai C-H, Fei P-H, Lin C-M, Shiu S-L (2018) CuO and CuO\/graphene nanostructured thin films as counter electrodes for Pt-free dye-sensitized solar cells. Coatings 8:21. https:\/\/doi.org\/10.3390\/coatings8010021","journal-title":"Coatings"},{"key":"6366_CR35","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1080\/14328917.2020.1721809","volume":"24","author":"H Mandhare","year":"2020","unstructured":"Mandhare H, Barai DP, Bhanvase BA, Saharan VKVK (2020) Preparation and thermal conductivity investigation of reduced graphene oxide-ZnO nanocomposite-based nanofluid synthesised by ultrasound-assisted method. Mater Res Innov 24:433\u2013441. https:\/\/doi.org\/10.1080\/14328917.2020.1721809","journal-title":"Mater Res Innov"},{"key":"6366_CR36","doi-asserted-by":"publisher","first-page":"9702","DOI":"10.1039\/c0jm04106h","volume":"21","author":"TT Baby","year":"2011","unstructured":"Baby TT, Ramaprabhu S (2011) Synthesis and nanofluid application of silver nanoparticles decorated graphene. J Mater Chem 21:9702\u20139709. https:\/\/doi.org\/10.1039\/c0jm04106h","journal-title":"J Mater Chem"},{"key":"6366_CR37","doi-asserted-by":"publisher","first-page":"8527","DOI":"10.1021\/jp200273g","volume":"115","author":"TT Baby","year":"2011","unstructured":"Baby TT, Sundara R (2011) Synthesis and transport properties of metal oxide decorated graphene dispersed nanofluids. J Phys Chem C 115:8527\u20138533. https:\/\/doi.org\/10.1021\/jp200273g","journal-title":"J Phys Chem C"},{"key":"6366_CR38","doi-asserted-by":"publisher","first-page":"10104","DOI":"10.1007\/s10853-016-0239-3","volume":"51","author":"S Wang","year":"2016","unstructured":"Wang S, Li Y, Zhang H, Lin Y, Li Z, Wang W, Wu Q, Qian Y, Hong H, Zhi C (2016) Enhancement of thermal conductivity in water-based nanofluids employing TiO2\/reduced graphene oxide composites. J Mater Sci 51:10104\u201310115. https:\/\/doi.org\/10.1007\/s10853-016-0239-3","journal-title":"J Mater Sci"},{"key":"6366_CR39","doi-asserted-by":"publisher","first-page":"8349","DOI":"10.1021\/acs.iecr.8b05733","volume":"58","author":"DP Barai","year":"2019","unstructured":"Barai DP, Bhanvase BA, Saharan VK (2019) Reduced graphene oxide-Fe3O4 nanocomposite based nanofluids: study on ultrasonic assisted synthesis, thermal conductivity, rheology and convective heat transfer. Ind Eng Chem Res 58:8349\u20138369. https:\/\/doi.org\/10.1021\/acs.iecr.8b05733","journal-title":"Ind Eng Chem Res"},{"key":"6366_CR40","doi-asserted-by":"publisher","first-page":"1084","DOI":"10.1016\/j.ijheatmasstransfer.2016.07.070","volume":"103","author":"N Ahammed","year":"2016","unstructured":"Ahammed N, Asirvatham LG, Wongwises S (2016) Entropy generation analysis of graphene\u2013alumina hybrid nanofluid in multiport minichannel heat exchanger coupled with thermoelectric cooler. Int J Heat Mass Transf 103:1084\u20131097. https:\/\/doi.org\/10.1016\/j.ijheatmasstransfer.2016.07.070","journal-title":"Int J Heat Mass Transf"},{"key":"6366_CR41","doi-asserted-by":"publisher","unstructured":"Bhanvase BA, Barai DP, Sonawane SH, Kumar N, Sonawane SS (2018) Intensified heat transfer rate with the use of nanofluids. Handbook of nanomaterials for industrial applications. Elsevier, pp 739\u2013750. https:\/\/doi.org\/10.1016\/B978-0-12-813351-4.00042-0.","DOI":"10.1016\/B978-0-12-813351-4.00042-0"},{"key":"6366_CR42","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1021\/i160003a005","volume":"1","author":"RL Hamilton","year":"1962","unstructured":"Hamilton RL, Crosser OK (1962) Thermal conductivity of heterogeneous two-component systems. Ind Eng Chem Fundam 1:187\u2013191. https:\/\/doi.org\/10.1021\/i160003a005","journal-title":"Ind Eng Chem Fundam"},{"key":"6366_CR43","doi-asserted-by":"publisher","first-page":"636","DOI":"10.1002\/andp.19354160705","volume":"416","author":"DAG Bruggeman","year":"1935","unstructured":"Bruggeman DAG (1935) Berechnung verschiedener physikalischer Konstanten von heterogenen Substanzen. I. Dielektrizit\u00e4tskonstanten und Leitf\u00e4higkeiten der Mischk\u00f6rper aus isotropen Substanzen. Ann Phys 416:636\u2013664. https:\/\/doi.org\/10.1002\/andp.19354160705","journal-title":"Ann Phys"},{"key":"6366_CR44","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1504\/IJNP.2008.017619","volume":"1","author":"LS Sundar","year":"2008","unstructured":"Sundar LS, Sharma KV (2008) Thermal conductivity enhancement of nanoparticles in distilled water. Int J Nanoparticles 1:66. https:\/\/doi.org\/10.1504\/IJNP.2008.017619","journal-title":"Int J Nanoparticles"},{"key":"6366_CR45","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1016\/j.expthermflusci.2016.09.013","volume":"81","author":"HW Chiam","year":"2017","unstructured":"Chiam HW, Azmi WH, Usri NA, Mamat R, Adam NM (2017) Thermal conductivity and viscosity of Al2O3 nanofluids for different based ratio of water and ethylene glycol mixture. Exp Therm Fluid Sci 81:420\u2013429. https:\/\/doi.org\/10.1016\/j.expthermflusci.2016.09.013","journal-title":"Exp Therm Fluid Sci"},{"key":"6366_CR46","doi-asserted-by":"publisher","DOI":"10.1063\/1.2093936","volume":"87","author":"CH Chon","year":"2005","unstructured":"Chon CH, Kihm KD, Lee SP, Choi SUS (2005) Empirical correlation finding the role of temperature and particle size for nanofluid (Al2O3) thermal conductivity enhancement. Appl Phys Lett 87:153107. https:\/\/doi.org\/10.1063\/1.2093936","journal-title":"Appl Phys Lett"},{"key":"6366_CR47","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1007\/s12034-008-0060-y","volume":"31","author":"HE Patel","year":"2008","unstructured":"Patel HE, Anoop KB, Sundararajan T, Das SK (2008) Model for thermal conductivity of CNT-nanofluids. Bull Mater Sci 31:387\u2013390. https:\/\/doi.org\/10.1007\/s12034-008-0060-y","journal-title":"Bull Mater Sci"},{"key":"6366_CR48","doi-asserted-by":"publisher","first-page":"714","DOI":"10.1016\/j.powtec.2018.11.096","volume":"343","author":"Z Aparna","year":"2019","unstructured":"Aparna Z, Michael M, Pabi SK, Ghosh S (2019) Thermal conductivity of aqueous Al2O3\/Ag hybrid nanofluid at different temperatures and volume concentrations: an experimental investigation and development of new correlation function. Powder Technol 343:714\u2013722. https:\/\/doi.org\/10.1016\/j.powtec.2018.11.096","journal-title":"Powder Technol"},{"key":"6366_CR49","volume-title":"Investigations on the theory of the Brownian movement","author":"A Einstein","year":"1956","unstructured":"Einstein A (1956) Investigations on the theory of the Brownian movement. Dover Publications Inc., New York"},{"key":"6366_CR50","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1122\/1.548848","volume":"3","author":"IM Krieger","year":"1959","unstructured":"Krieger IM, Dougherty TJ (1959) A mechanism for non-Newtonian flow in suspensions of rigid spheres. Trans Soc Rheol 3:137\u2013152. https:\/\/doi.org\/10.1122\/1.548848","journal-title":"Trans Soc Rheol"},{"key":"6366_CR51","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1016\/j.expthermflusci.2009.10.022","volume":"34","author":"M Chandrasekar","year":"2010","unstructured":"Chandrasekar M, Suresh S, Chandra Bose A (2010) Experimental investigations and theoretical determination of thermal conductivity and viscosity of Al2O3\/water nanofluid. Exp. Therm. Fluid Sci. 34:210\u2013216. https:\/\/doi.org\/10.1016\/j.expthermflusci.2009.10.022","journal-title":"Exp. Therm. Fluid Sci."},{"key":"6366_CR52","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1080\/08916159808946559","volume":"11","author":"BC Pak","year":"1998","unstructured":"Pak BC, Cho YI (1998) Hydrodynamic and heat transfer study of dispersed fluids with submicron metallic oxide particles. Exp Heat Transf 11:151\u2013170. https:\/\/doi.org\/10.1080\/08916159808946559","journal-title":"Exp Heat Transf"},{"key":"6366_CR53","doi-asserted-by":"publisher","DOI":"10.1115\/1.3090813","volume":"131","author":"RS Vajjha","year":"2009","unstructured":"Vajjha RS, Das DK (2009) Specific heat measurement of three nanofluids and development of new correlations. J Heat Transf 131:071601. https:\/\/doi.org\/10.1115\/1.3090813","journal-title":"J Heat Transf"},{"key":"6366_CR54","doi-asserted-by":"publisher","unstructured":"Said Z, Saidur R (2017) Thermophysical properties of metal oxides nanofluids. Nanofluid heat and mass transfer in engineering problems. InTech. https:\/\/doi.org\/10.5772\/65610.","DOI":"10.5772\/65610"},{"key":"6366_CR55","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1016\/j.ijthermalsci.2015.01.015","volume":"91","author":"A Karimipour","year":"2015","unstructured":"Karimipour A (2015) New correlation for Nusselt number of nanofluid with Ag\/Al2O3\/Cu nanoparticles in a microchannel considering slip velocity and temperature jump by using lattice Boltzmann method. Int J Therm Sci 91:146\u2013156. https:\/\/doi.org\/10.1016\/j.ijthermalsci.2015.01.015","journal-title":"Int J Therm Sci"},{"key":"6366_CR56","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.rser.2012.11.041","volume":"20","author":"L Syam-Sundar","year":"2013","unstructured":"Syam-Sundar L, Singh MK (2013) Convective heat transfer and friction factor correlations of nanofluid in a tube and with inserts: a review. Renew Sustain Energy Rev 20:23\u201335. https:\/\/doi.org\/10.1016\/j.rser.2012.11.041","journal-title":"Renew Sustain Energy Rev"},{"key":"6366_CR57","doi-asserted-by":"publisher","first-page":"9764","DOI":"10.1021\/ie5010064","volume":"53","author":"M Tyagi","year":"2014","unstructured":"Tyagi M, Bhanvase BA, Pandharipande SL (2014) Computational studies on release of corrosion inhibitor from layer-by-layer assembled silica nanocontainer. Ind Eng Chem Res 53:9764\u20139771. https:\/\/doi.org\/10.1021\/ie5010064","journal-title":"Ind Eng Chem Res"},{"key":"6366_CR58","doi-asserted-by":"publisher","first-page":"2196","DOI":"10.1016\/j.energy.2017.12.004","volume":"141","author":"M Beigi","year":"2017","unstructured":"Beigi M, Torki-Harchegani M, Tohidi M (2017) Experimental and ANN modeling investigations of energy traits for rough rice drying. Energy 141:2196\u20132205. https:\/\/doi.org\/10.1016\/j.energy.2017.12.004","journal-title":"Energy"},{"key":"6366_CR59","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1016\/j.ijbiomac.2019.07.208","volume":"139","author":"SPG Zaferani","year":"2019","unstructured":"Zaferani SPG, Emami MRS, Amiri MK, Binaeian E (2019) Optimization of the removal Pb (II) and its Gibbs free energy by thiosemicarbazide modified chitosan using RSM and ANN modeling. Int J Biol Macromol 139:307\u2013319. https:\/\/doi.org\/10.1016\/j.ijbiomac.2019.07.208","journal-title":"Int J Biol Macromol"},{"key":"6366_CR60","doi-asserted-by":"publisher","DOI":"10.1007\/s40430-020-02643-5","author":"A Dadrasi","year":"2020","unstructured":"Dadrasi A, Albooyeh AR, Fooladpanjeh S, Shad MD, Beynaghi M (2020) RSM and ANN modeling of the energy absorption behavior of steel thin-walled columns: a multi-objective optimization using the genetic algorithm. J Braz Soc Mech Sci Eng. https:\/\/doi.org\/10.1007\/s40430-020-02643-5","journal-title":"J Braz Soc Mech Sci Eng"},{"key":"6366_CR61","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.fluid.2012.08.019","volume":"336","author":"H Karimi","year":"2012","unstructured":"Karimi H, Yousefi F (2012) Application of artificial neural network-genetic algorithm (ANN-GA) to correlation of density in nanofluids. Fluid Phase Equilib 336:79\u201383. https:\/\/doi.org\/10.1016\/j.fluid.2012.08.019","journal-title":"Fluid Phase Equilib"},{"key":"6366_CR62","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.chemolab.2016.03.031","volume":"155","author":"E Heidari","year":"2016","unstructured":"Heidari E, Sobati MA, Movahedirad S (2016) Accurate prediction of nanofluid viscosity using a multilayer perceptron artificial neural network (MLP-ANN). Chemom Intell Lab Syst 155:73\u201385. https:\/\/doi.org\/10.1016\/j.chemolab.2016.03.031","journal-title":"Chemom Intell Lab Syst"},{"key":"6366_CR63","doi-asserted-by":"publisher","DOI":"10.3390\/ma10050552","author":"N Zhao","year":"2017","unstructured":"Zhao N, Li Z (2017) Experiment and artificial neural network prediction of thermal conductivity and viscosity for alumina-water nanofluids. Materials (Basel). https:\/\/doi.org\/10.3390\/ma10050552","journal-title":"Materials (Basel)"},{"key":"6366_CR64","doi-asserted-by":"publisher","DOI":"10.1063\/1.3245330","volume":"106","author":"J Buongiorno","year":"2009","unstructured":"Buongiorno J, Venerus DC, Prabhat N, McKrell T, Townsend J, Christianson R, Tolmachev YV, Keblinski P, Hu LW, Alvarado JL, Bang IC, Bishnoi SW, Bonetti M, Botz F, Cecere A, Chang Y, Chen G, Chen H, Chung SJ, Chyu MK, Das SK, Di Paola R, Ding Y, Dubois F, Dzido G, Eapen J, Escher W, Funfschilling D, Galand Q, Gao J, Gharagozloo PE, Goodson KE, Gutierrez JG, Hong H, Horton M, Hwang KS, Iorio CS, Jang SP, Jarzebski AB, Jiang Y, Jin L, Kabelac S, Kamath A, Kedzierski MA, Kieng LG, Kim C, Kim J-HH, Kim S, Lee SH, Leong KC, Manna I, Michel B, Ni R, Patel HE, Philip J, Poulikakos D, Reynaud C, Savino R, Singh PK, Song P, Sundararajan T, Timofeeva E, Tritcak T, Turanov AN, Van Vaerenbergh S, Wen D, Witharana S, Yang C, Yeh W-HH, Zhao X-ZZ, Zhou S-QQ (2009) A benchmark study on the thermal conductivity of nanofluids. J Appl Phys 106:094312. https:\/\/doi.org\/10.1063\/1.3245330","journal-title":"J Appl Phys"},{"key":"6366_CR65","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1016\/j.icheatmasstransfer.2015.06.002","volume":"66","author":"M Hemmat Esfe","year":"2015","unstructured":"Hemmat Esfe M, Afrand M, Yan WM, Akbari M (2015) Applicability of artificial neural network and nonlinear regression to predict thermal conductivity modeling of Al2O3-water nanofluids using experimental data. Int Commun Heat Mass Transf 66:246\u2013249. https:\/\/doi.org\/10.1016\/j.icheatmasstransfer.2015.06.002","journal-title":"Int Commun Heat Mass Transf"},{"key":"6366_CR66","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.icheatmasstransfer.2015.01.001","volume":"63","author":"M Hemmat Esfe","year":"2015","unstructured":"Hemmat Esfe M, Saedodin S, Naderi A, Alirezaie A, Karimipour A, Wongwises S, Goodarzi M, Bin Dahari M (2015) Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods. Int Commun Heat Mass Transf 63:35\u201340. https:\/\/doi.org\/10.1016\/j.icheatmasstransfer.2015.01.001","journal-title":"Int Commun Heat Mass Transf"},{"key":"6366_CR67","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1016\/j.molliq.2017.02.015","volume":"231","author":"SH Rostamian","year":"2017","unstructured":"Rostamian SH, Biglari M, Saedodin S, Hemmat Esfe M (2017) An inspection of thermal conductivity of CuO-SWCNTs hybrid nanofluid versus temperature and concentration using experimental data, ANN modeling and new correlation. J Mol Liq 231:364\u2013369. https:\/\/doi.org\/10.1016\/j.molliq.2017.02.015","journal-title":"J Mol Liq"},{"key":"6366_CR68","doi-asserted-by":"publisher","first-page":"1017","DOI":"10.1016\/j.ijheatmasstransfer.2010.11.039","volume":"54","author":"M Hojjat","year":"2011","unstructured":"Hojjat M, Etemad SG, Bagheri R, Thibault J (2011) Thermal conductivity of non-Newtonian nanofluids: experimental data and modeling using neural network. Int J Heat Mass Transf 54:1017\u20131023. https:\/\/doi.org\/10.1016\/j.ijheatmasstransfer.2010.11.039","journal-title":"Int J Heat Mass Transf"},{"key":"6366_CR69","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.nanoen.2011.11.007","volume":"1","author":"GA Longo","year":"2012","unstructured":"Longo GA, Zilio C, Ceseracciu E, Reggiani M (2012) Application of artificial neural network (ANN) for the prediction of thermal conductivity of oxide-water nanofluids. Nano Energy 1:290\u2013296. https:\/\/doi.org\/10.1016\/j.nanoen.2011.11.007","journal-title":"Nano Energy"},{"key":"6366_CR70","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.icheatmasstransfer.2016.03.008","volume":"74","author":"E Ahmadloo","year":"2016","unstructured":"Ahmadloo E, Azizi S (2016) Prediction of thermal conductivity of various nanofluids using artificial neural network. Int Commun Heat Mass Transf 74:69\u201375. https:\/\/doi.org\/10.1016\/j.icheatmasstransfer.2016.03.008","journal-title":"Int Commun Heat Mass Transf"},{"key":"6366_CR71","doi-asserted-by":"publisher","DOI":"10.1007\/s11630-019-1158-9","author":"X Wang","year":"2019","unstructured":"Wang X, Yan X, Gao N, Chen G (2019) Prediction of thermal conductivity of various nanofluids with ethylene glycol using artificial neural network. J Therm Sci. https:\/\/doi.org\/10.1007\/s11630-019-1158-9","journal-title":"J Therm Sci"},{"key":"6366_CR72","doi-asserted-by":"publisher","first-page":"920","DOI":"10.1016\/j.ijheatmasstransfer.2018.04.142","volume":"125","author":"AAAA Alrashed","year":"2018","unstructured":"Alrashed AAAA, Gharibdousti MS, Goodarzi M, de Oliveira LR, Safaei MR, Bandarra-Filho EP (2018) Effects on thermophysical properties of carbon based nanofluids: experimental data, modelling using regression, ANFIS and ANN. Int J Heat Mass Transf 125:920\u2013932. https:\/\/doi.org\/10.1016\/j.ijheatmasstransfer.2018.04.142","journal-title":"Int J Heat Mass Transf"},{"key":"6366_CR73","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1016\/j.icheatmasstransfer.2016.06.003","volume":"76","author":"M Tahani","year":"2016","unstructured":"Tahani M, Vakili M, Khosrojerdi S (2016) Experimental evaluation and ANN modeling of thermal conductivity of graphene oxide nanoplatelets\/deionized water nanofluid. Int Commun Heat Mass Transf 76:358\u2013365. https:\/\/doi.org\/10.1016\/j.icheatmasstransfer.2016.06.003","journal-title":"Int Commun Heat Mass Transf"},{"key":"6366_CR74","doi-asserted-by":"publisher","DOI":"10.1016\/j.mtcomm.2020.101148","author":"SS Chawhan","year":"2020","unstructured":"Chawhan SS, Barai DP, Bhanvase BA (2020) Sonochemical preparation of rGO-SnO2 nanocomposite and its nanofluids: characterization thermal conductivity rheological and convective heat transfer investigation. Mater Today Commun. https:\/\/doi.org\/10.1016\/j.mtcomm.2020.101148","journal-title":"Mater Today Commun"},{"key":"6366_CR75","doi-asserted-by":"publisher","DOI":"10.1016\/j.matchemphys.2020.123102","volume":"251","author":"HA Sarode","year":"2020","unstructured":"Sarode HA, Barai DP, Bhanvase BA, Ugwekar RP, Saharan V (2020) Investigation on preparation of graphene oxide-CuO nanocomposite based nanofluids with the aid of ultrasound assisted method for intensified heat transfer properties. Mater Chem Phys 251:123102. https:\/\/doi.org\/10.1016\/j.matchemphys.2020.123102","journal-title":"Mater Chem Phys"},{"key":"6366_CR76","doi-asserted-by":"publisher","DOI":"10.1080\/00194506.2019.1658545","author":"NR Koshta","year":"2019","unstructured":"Koshta NR, Bhanvase BA, Chawhan SS, Barai DP, Sonawane SH (2019) Investigation on the thermal conductivity and convective heat transfer enhancement in helical coiled heat exchanger using ultrasonically prepared rGO\u2013TiO2 nanocomposite-based nanofluids. Indian Chem Eng. https:\/\/doi.org\/10.1080\/00194506.2019.1658545","journal-title":"Indian Chem Eng"},{"key":"6366_CR77","doi-asserted-by":"publisher","DOI":"10.1016\/j.mtcomm.2020.101986","author":"K Singh","year":"2020","unstructured":"Singh K, Barai DP, Chawhan SS, Bhanvase BA, Saharan V (2020) Synthesis, characterization and heat transfer study of reduced graphene oxide-Al2O3 nanocomposite based nanofluids: investigation on thermal conductivity and rheology. Mater Today Commun. https:\/\/doi.org\/10.1016\/j.mtcomm.2020.101986","journal-title":"Mater. Today Commun."},{"key":"6366_CR78","doi-asserted-by":"publisher","unstructured":"Bhanvase B, Barai D (2021) Nanofluids for heat and mass transfer. Elsevier. https:\/\/doi.org\/10.1016\/C2019-0-03241-4","DOI":"10.1016\/C2019-0-03241-4"},{"key":"6366_CR79","doi-asserted-by":"publisher","DOI":"10.1016\/j.tsep.2021.100928","author":"SS Chawhan","year":"2021","unstructured":"Chawhan SS, Barai DP, Bhanvase BA (2021) Investigation on thermophysical properties, convective heat transfer and performance evaluation of ultrasonically synthesized Ag-doped TiO2 hybrid nanoparticles based highly stable nanofluid in a minichannel. Therm Sci Eng Prog. https:\/\/doi.org\/10.1016\/j.tsep.2021.100928","journal-title":"Therm Sci Eng Prog"},{"key":"6366_CR80","doi-asserted-by":"crossref","unstructured":"Xie H, Wang J, Xi T (2002) Thermal conductivity enhancement of suspensions containing nanosized alumina particles. J Appl Phys 91: 4568\u20134572. http:\/\/link.aip.org\/link\/?JAP\/91\/4568\/1","DOI":"10.1063\/1.1454184"},{"key":"6366_CR81","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1115\/1.2427071","volume":"129","author":"SH Kim","year":"2006","unstructured":"Kim SH, Choi SR, Kim D (2006) Thermal conductivity of metal-oxide nanofluids: particle size dependence and effect of laser irradiation. J Heat Transfer 129:298\u2013307. https:\/\/doi.org\/10.1115\/1.2427071","journal-title":"J Heat Transfer"},{"key":"6366_CR82","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1007\/s11051-008-9500-2","volume":"11","author":"MP Beck","year":"2009","unstructured":"Beck MP, Yuan Y, Warrier P, Teja AS (2009) The effect of particle size on the thermal conductivity of alumina nanofluids. J Nanoparticle Res 11:1129\u20131136. https:\/\/doi.org\/10.1007\/s11051-008-9500-2","journal-title":"J Nanoparticle Res"},{"key":"6366_CR83","doi-asserted-by":"publisher","first-page":"083111","DOI":"10.1063\/1.2338424","volume":"89","author":"B Yang","year":"2006","unstructured":"Yang B, Han ZH (2006) Temperature-dependent thermal conductivity of nanorod-based nanofluids. Appl Phys Lett 89:083111. https:\/\/doi.org\/10.1063\/1.2338424","journal-title":"Appl Phys Lett"},{"key":"6366_CR84","doi-asserted-by":"publisher","first-page":"3028","DOI":"10.1016\/j.ijheatmasstransfer.2006.02.012","volume":"49","author":"M-S Liu","year":"2006","unstructured":"Liu M-S, Lin MC-C, Tsai CY, Wang C-C (2006) Enhancement of thermal conductivity with Cu for nanofluids using chemical reduction method. Int J Heat Mass Transf 49:3028\u20133033. https:\/\/doi.org\/10.1016\/j.ijheatmasstransfer.2006.02.012","journal-title":"Int J Heat Mass Transf"},{"key":"6366_CR85","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1080\/15567265.2010.500319","volume":"14","author":"L Godson","year":"2010","unstructured":"Godson L, Lal DM, Wongwises S (2010) Measurement of thermo physical properties of metallic nanofluids for high temperature applications. Nanoscale Microscale Thermophys Eng 14:152\u2013173. https:\/\/doi.org\/10.1080\/15567265.2010.500319","journal-title":"Nanoscale Microscale Thermophys Eng"},{"key":"6366_CR86","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.mset.2019.01.007","volume":"2","author":"RN Radkar","year":"2019","unstructured":"Radkar RN, Bhanvase BA, Barai DP, Sonawane SH (2019) Intensified convective heat transfer using ZnO nanofluids in heat exchanger with helical coiled geometry at constant wall temperature. Mater Sci Energy Technol 2:161\u2013170. https:\/\/doi.org\/10.1016\/j.mset.2019.01.007","journal-title":"Mater Sci Energy Technol"},{"key":"6366_CR87","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1016\/j.icheatmasstransfer.2012.03.012","volume":"39","author":"RS Khedkar","year":"2012","unstructured":"Khedkar RS, Sonawane SS, Wasewar KL (2012) Influence of CuO nanoparticles in enhancing the thermal conductivity of water and monoethylene glycol based nanofluids. Int Commun Heat Mass Transf 39:665\u2013669. https:\/\/doi.org\/10.1016\/j.icheatmasstransfer.2012.03.012","journal-title":"Int Commun Heat Mass Transf"},{"key":"6366_CR88","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1016\/j.applthermaleng.2015.05.033","volume":"87","author":"M Xing","year":"2015","unstructured":"Xing M, Yu J, Wang R (2015) Thermo-physical properties of water-based single-walled carbon nanotube nanofluid as advanced coolant. Appl Therm Eng 87:344\u2013351. https:\/\/doi.org\/10.1016\/j.applthermaleng.2015.05.033","journal-title":"Appl Therm Eng"},{"key":"6366_CR89","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.icheatmasstransfer.2015.11.002","volume":"70","author":"N Ahammed","year":"2016","unstructured":"Ahammed N, Asirvatham LG, Titus J, Bose JR, Wongwises S (2016) Measurement of thermal conductivity of graphene-water nanofluid at below and above ambient temperatures. Int Commun Heat Mass Transf 70:66\u201374. https:\/\/doi.org\/10.1016\/j.icheatmasstransfer.2015.11.002","journal-title":"Int Commun Heat Mass Transf"},{"key":"6366_CR90","doi-asserted-by":"publisher","DOI":"10.3311\/ppch.13285","author":"A Lanjewar","year":"2019","unstructured":"Lanjewar A, Bhanvase B, Barai D, Chawhan S, Sonawane S (2019) Intensified thermal conductivity and convective heat transfer of ultrasonically prepared CuO-polyaniline nanocomposite based nanofluids in helical coil heat exchanger. Period Polytech Chem Eng. https:\/\/doi.org\/10.3311\/ppch.13285","journal-title":"Period Polytech Chem Eng"},{"key":"6366_CR91","unstructured":"Pandharipande SL, Badhe YP (2004) elite-ANN\u00a9"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06366-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-021-06366-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06366-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T11:13:38Z","timestamp":1641813218000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-021-06366-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,5]]},"references-count":91,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,1]]}},"alternative-id":["6366"],"URL":"https:\/\/doi.org\/10.1007\/s00521-021-06366-z","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,5]]},"assertion":[{"value":"8 February 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 July 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 August 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there is no conflict of interests regarding the publication of this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}