Investigating the Physics of Tokamak Global Stability with Interpretable Machine Learning Tools.
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| Title: | Investigating the Physics of Tokamak Global Stability with Interpretable Machine Learning Tools. |
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| Authors: | Murari, Andrea1, Andrea.Murari@euro-fusion.org, Peluso, Emmanuele2, emmanuele.peluso@uniroma2.it, Lungaroni, Michele2, Michele.lungaroni@uniroma2.it, Rossi, Riccardo2, R.Rossi@ing.uniroma2.itgelfusa@ing.uniroma2.it, Gelfusa, Michela2 |
| Source: | Applied Sciences (2076-3417); Oct2020, Vol. 10 Issue 19, p6683, 22p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 147002662 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Investigating the Physics of Tokamak Global Stability with Interpretable Machine Learning Tools. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Murari%2C+Andrea%22">Murari, Andrea</searchLink><relatesTo>1</relatesTo>, <i>Andrea.Murari@euro-fusion.org</i><br /><searchLink fieldCode="AU" term="%22Peluso%2C+Emmanuele%22">Peluso, Emmanuele</searchLink><relatesTo>2</relatesTo>, <i>emmanuele.peluso@uniroma2.it</i><br /><searchLink fieldCode="AU" term="%22Lungaroni%2C+Michele%22">Lungaroni, Michele</searchLink><relatesTo>2</relatesTo>, <i>Michele.lungaroni@uniroma2.it</i><br /><searchLink fieldCode="AU" term="%22Rossi%2C+Riccardo%22">Rossi, Riccardo</searchLink><relatesTo>2</relatesTo>, <i>R.Rossi@ing.uniroma2.itgelfusa@ing.uniroma2.it</i><br /><searchLink fieldCode="AU" term="%22Gelfusa%2C+Michela%22">Gelfusa, Michela</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Oct2020, Vol. 10 Issue 19, p6683, 22p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=147002662 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app10196683 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 6683 Titles: – TitleFull: Investigating the Physics of Tokamak Global Stability with Interpretable Machine Learning Tools. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Murari, Andrea – PersonEntity: Name: NameFull: Peluso, Emmanuele – PersonEntity: Name: NameFull: Lungaroni, Michele – PersonEntity: Name: NameFull: Rossi, Riccardo – PersonEntity: Name: NameFull: Gelfusa, Michela IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 10 – Type: issue Value: 19 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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