Prediction of solubility of hydrogen in chemicals using QSPR-based machine learning approach: a comparative study.
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| Title: | Prediction of solubility of hydrogen in chemicals using QSPR-based machine learning approach: a comparative study. |
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| Authors: | Ebrahimpoor Gorji A; School of Chemical Engineering, Department of Chemical and Metallurgical Engineering, Aalto University, Research Group of Chemical Engineering, P.O. Box 16100, 00076, Aalto, Finland. ali.ebrahimpoorgorji@aalto.fi., Alopaeus V; School of Chemical Engineering, Department of Chemical and Metallurgical Engineering, Aalto University, Research Group of Chemical Engineering, P.O. Box 16100, 00076, Aalto, Finland. ville.alopaeus@aalto.fi. |
| Source: | Journal of computer-aided molecular design [J Comput Aided Mol Des] 2026 Jul 29; Vol. 40 (1). Date of Electronic Publication: 2026 Jul 29. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Springer Country of Publication: Netherlands NLM ID: 8710425 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-4951 (Electronic) Linking ISSN: 0920654X NLM ISO Abbreviation: J Comput Aided Mol Des Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42527716 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Prediction of solubility of hydrogen in chemicals using QSPR-based machine learning approach: a comparative study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ebrahimpoor+Gorji+A%22">Ebrahimpoor Gorji A</searchLink>; School of Chemical Engineering, Department of Chemical and Metallurgical Engineering, Aalto University, Research Group of Chemical Engineering, P.O. Box 16100, 00076, Aalto, Finland. ali.ebrahimpoorgorji@aalto.fi.<br /><searchLink fieldCode="AU" term="%22Alopaeus+V%22">Alopaeus V</searchLink>; School of Chemical Engineering, Department of Chemical and Metallurgical Engineering, Aalto University, Research Group of Chemical Engineering, P.O. Box 16100, 00076, Aalto, Finland. ville.alopaeus@aalto.fi. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228710425%22">Journal of computer-aided molecular design</searchLink> [J Comput Aided Mol Des] 2026 Jul 29; Vol. 40 (1). <i>Date of Electronic Publication: </i>2026 Jul 29. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comparative Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8710425 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-4951 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220920654X%22">0920654X </searchLink><i>NLM ISO Abbreviation: </i>J Comput Aided Mol Des <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42527716 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10822-026-00899-y Languages: – Code: eng Text: English Titles: – TitleFull: Prediction of solubility of hydrogen in chemicals using QSPR-based machine learning approach: a comparative study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ebrahimpoor Gorji A – PersonEntity: Name: NameFull: Alopaeus V IsPartOfRelationships: – BibEntity: Dates: – D: 29 M: 07 Text: 2026 Jul 29 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1573-4951 Numbering: – Type: volume Value: 40 – Type: issue Value: 1 Titles: – TitleFull: Journal of computer-aided molecular design Type: main |
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