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Semantics of HTS AC Loss Modeling: Theories, Models, and Experiments

Tutkimustuotosvertaisarvioitu

Standard

Semantics of HTS AC Loss Modeling : Theories, Models, and Experiments. / Lahtinen, Valtteri; Stenvall, Antti.

julkaisussa: IEEE Transactions on Applied Superconductivity, Vuosikerta 30, Nro 5, 5900809, 01.08.2020.

Tutkimustuotosvertaisarvioitu

Harvard

Lahtinen, V & Stenvall, A 2020, 'Semantics of HTS AC Loss Modeling: Theories, Models, and Experiments', IEEE Transactions on Applied Superconductivity, Vuosikerta. 30, Nro 5, 5900809. https://doi.org/10.1109/TASC.2020.2976619

APA

Lahtinen, V., & Stenvall, A. (2020). Semantics of HTS AC Loss Modeling: Theories, Models, and Experiments. IEEE Transactions on Applied Superconductivity, 30(5), [5900809]. https://doi.org/10.1109/TASC.2020.2976619

Vancouver

Lahtinen V, Stenvall A. Semantics of HTS AC Loss Modeling: Theories, Models, and Experiments. IEEE Transactions on Applied Superconductivity. 2020 elo 1;30(5). 5900809. https://doi.org/10.1109/TASC.2020.2976619

Author

Lahtinen, Valtteri ; Stenvall, Antti. / Semantics of HTS AC Loss Modeling : Theories, Models, and Experiments. Julkaisussa: IEEE Transactions on Applied Superconductivity. 2020 ; Vuosikerta 30, Nro 5.

Bibtex - Lataa

@article{3062f38ea7f7497cabc97ea3d67e902d,
title = "Semantics of HTS AC Loss Modeling: Theories, Models, and Experiments",
abstract = "Computer-Assisted modeling is an essential approach to design new devices. It speeds up the process from the initial idea to an actual device and saves resources by reducing the number of built prototypes. This is also a significant practical motivator behind scientific research in contemporary high-Temperature superconductor (HTS) ac loss modeling. However, in the scientific literature in this field, consistent practices about modeling terminology have not been established. Then, it is up to the reader to decide, what is the true intent and meaning of the authors. Consequently, the interpretation of such literature might be very much reader dependent. An inseparable part of the whole modeling process is the development of modeling approaches and numerical methods and comparing the predictions obtained via modeling to experimentally achieved results. It is commonplace to discuss the accuracy of modeling results or the validation of a model. In this article, we discuss the terminology related to theories, models, and experiments in the context of HTS ac loss modeling. We discuss the recursive nature of theories and models in this context, discuss the compatibility of discrete formulations of physics utilized in our field with the corresponding continuum description, and interpret the perceived meaning of validation of a self-consistent model, shedding light on the relationships between theories, models, and measurements. We present our view on understanding these relations in the familiar context of ac losses in HTS, studying case examples through simulations and literature. As a result, we end this article with four conjectures describing our views.",
keywords = "AC losses, experiment, high-Temperature superconductors (HTS), model, modeling, theory",
author = "Valtteri Lahtinen and Antti Stenvall",
year = "2020",
month = "8",
day = "1",
doi = "10.1109/TASC.2020.2976619",
language = "English",
volume = "30",
journal = "IEEE Transactions on Applied Superconductivity",
issn = "1051-8223",
publisher = "Institute of Electrical and Electronics Engineers",
number = "5",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Semantics of HTS AC Loss Modeling

T2 - Theories, Models, and Experiments

AU - Lahtinen, Valtteri

AU - Stenvall, Antti

PY - 2020/8/1

Y1 - 2020/8/1

N2 - Computer-Assisted modeling is an essential approach to design new devices. It speeds up the process from the initial idea to an actual device and saves resources by reducing the number of built prototypes. This is also a significant practical motivator behind scientific research in contemporary high-Temperature superconductor (HTS) ac loss modeling. However, in the scientific literature in this field, consistent practices about modeling terminology have not been established. Then, it is up to the reader to decide, what is the true intent and meaning of the authors. Consequently, the interpretation of such literature might be very much reader dependent. An inseparable part of the whole modeling process is the development of modeling approaches and numerical methods and comparing the predictions obtained via modeling to experimentally achieved results. It is commonplace to discuss the accuracy of modeling results or the validation of a model. In this article, we discuss the terminology related to theories, models, and experiments in the context of HTS ac loss modeling. We discuss the recursive nature of theories and models in this context, discuss the compatibility of discrete formulations of physics utilized in our field with the corresponding continuum description, and interpret the perceived meaning of validation of a self-consistent model, shedding light on the relationships between theories, models, and measurements. We present our view on understanding these relations in the familiar context of ac losses in HTS, studying case examples through simulations and literature. As a result, we end this article with four conjectures describing our views.

AB - Computer-Assisted modeling is an essential approach to design new devices. It speeds up the process from the initial idea to an actual device and saves resources by reducing the number of built prototypes. This is also a significant practical motivator behind scientific research in contemporary high-Temperature superconductor (HTS) ac loss modeling. However, in the scientific literature in this field, consistent practices about modeling terminology have not been established. Then, it is up to the reader to decide, what is the true intent and meaning of the authors. Consequently, the interpretation of such literature might be very much reader dependent. An inseparable part of the whole modeling process is the development of modeling approaches and numerical methods and comparing the predictions obtained via modeling to experimentally achieved results. It is commonplace to discuss the accuracy of modeling results or the validation of a model. In this article, we discuss the terminology related to theories, models, and experiments in the context of HTS ac loss modeling. We discuss the recursive nature of theories and models in this context, discuss the compatibility of discrete formulations of physics utilized in our field with the corresponding continuum description, and interpret the perceived meaning of validation of a self-consistent model, shedding light on the relationships between theories, models, and measurements. We present our view on understanding these relations in the familiar context of ac losses in HTS, studying case examples through simulations and literature. As a result, we end this article with four conjectures describing our views.

KW - AC losses

KW - experiment

KW - high-Temperature superconductors (HTS)

KW - model

KW - modeling

KW - theory

U2 - 10.1109/TASC.2020.2976619

DO - 10.1109/TASC.2020.2976619

M3 - Article

VL - 30

JO - IEEE Transactions on Applied Superconductivity

JF - IEEE Transactions on Applied Superconductivity

SN - 1051-8223

IS - 5

M1 - 5900809

ER -