Application of Gaussian process regression to plasma turbulent transport model validation via integrated modelling

Artūrs Zariņš; Līga Avotiņa; Dāvis Čonka; Mihails Haļitovs; Juris Jansons; Jānis Lapiņš; Andris Leščinskis; Elīna Pajuste; Aigars Vītiņš; Ho A.; JET Contributors

doi:10.1088/1741-4326/ab065a

Application of Gaussian process regression to plasma turbulent transport model validation via integrated modelling

Artūrs Zariņš
, Līga Avotiņa
, Dāvis Čonka
, Mihails Haļitovs
, Juris Jansons
, Jānis Lapiņš
, Andris Leščinskis
, Elīna Pajuste
, Aigars Vītiņš
, Ho A.
, JET Contributors

Research output: Contribution to journal › Article › peer-review

66 Citations (Scopus)

Original language	English
Journal	Nuclear Fusion
Volume	59
Issue number	5
DOIs	https://doi.org/10.1088/1741-4326/ab065a
Publication status	Published - 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

OECD Field of Science

1.3 Physical Sciences

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10.1088/1741-4326/ab065a

Cite this

@article{7fd610326bd84763bb278e70dac8583a,

title = "Application of Gaussian process regression to plasma turbulent transport model validation via integrated modelling",

author = "Artūrs Zariņ{\v s} and Līga Avotiņa and Dāvis {\v C}onka and Mihails Haļitovs and Juris Jansons and Jānis Lapiņ{\v s} and Andris Le{\v s}{\v c}inskis and Elīna Pajuste and Aigars Vītiņ{\v s} and Ho A. and JET Contributors",

year = "2019",

doi = "10.1088/1741-4326/ab065a",

language = "English",

volume = "59",

journal = "Nuclear Fusion",

issn = "0029-5515",

publisher = "IOP Publishing Ltd.",

number = "5",

}

TY - JOUR

T1 - Application of Gaussian process regression to plasma turbulent transport model validation via integrated modelling

AU - Zariņš, Artūrs

AU - Avotiņa, Līga

AU - Čonka, Dāvis

AU - Haļitovs, Mihails

AU - Jansons, Juris

AU - Lapiņš, Jānis

AU - Leščinskis, Andris

AU - Pajuste, Elīna

AU - Vītiņš, Aigars

AU - A., Ho

AU - Contributors, JET

PY - 2019

Y1 - 2019

UR - https://iopscience.iop.org/article/10.1088/1741-4326/ab065a

U2 - 10.1088/1741-4326/ab065a

DO - 10.1088/1741-4326/ab065a

M3 - Article

SN - 0029-5515

VL - 59

JO - Nuclear Fusion

JF - Nuclear Fusion

IS - 5

ER -

Application of Gaussian process regression to plasma turbulent transport model validation via integrated modelling

UN SDGs

OECD Field of Science

Access to Document

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