DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Data for 'Machine learning enhanced predictions of ICRF heating: overcoming numerical limitations via data curation'

Abstract

Figure data for the paper 'Machine learning enhanced predictions of ICRF heating: overcoming numerical limitations via data curation' accepted in Physics of Plasmas, DOI TBD

Authors:
ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo
  1. Princeton Plasma Physics Laboratory
  2. Lawrence Berkeley National Laboratory
  3. San Francisco State University
  4. CEA Cadarache
  5. Lawrence Livermore National Laboratory
  6. Massachusetts Institute of Technology
Publication Date:
DOE Contract Number:  
AC02-05CH11231; AC02-09CH11466
Research Org.:
Princeton Plasma Physics Laboratory
Sponsoring Org.:
United States Department of Energy
Subject:
HHFW; ICRF; RF heating; data-driven; machine learning; neural networks; plasma heating; surrogate modeling; tokamak
OSTI Identifier:
2589037
DOI:
https://doi.org/10.34770/h8gb-be77

Citation Formats

Sanchez-Villar, Alvaro, Bai, Zhe, Bertelli, Nicola, Bethel, E. Wes, Hillairet, Julien, Perciano, Talita, Shiraiwa, Syun'ichi, Wallace, Gregory, and Wright, John. Data for 'Machine learning enhanced predictions of ICRF heating: overcoming numerical limitations via data curation'. United States: N. p., 2025. Web. doi:10.34770/h8gb-be77.
Sanchez-Villar, Alvaro, Bai, Zhe, Bertelli, Nicola, Bethel, E. Wes, Hillairet, Julien, Perciano, Talita, Shiraiwa, Syun'ichi, Wallace, Gregory, & Wright, John. Data for 'Machine learning enhanced predictions of ICRF heating: overcoming numerical limitations via data curation'. United States. doi:https://doi.org/10.34770/h8gb-be77
Sanchez-Villar, Alvaro, Bai, Zhe, Bertelli, Nicola, Bethel, E. Wes, Hillairet, Julien, Perciano, Talita, Shiraiwa, Syun'ichi, Wallace, Gregory, and Wright, John. 2025. "Data for 'Machine learning enhanced predictions of ICRF heating: overcoming numerical limitations via data curation'". United States. doi:https://doi.org/10.34770/h8gb-be77. https://www.osti.gov/servlets/purl/2589037. Pub date:Mon May 19 04:00:00 UTC 2025
@article{osti_2589037,
title = {Data for 'Machine learning enhanced predictions of ICRF heating: overcoming numerical limitations via data curation'},
author = {Sanchez-Villar, Alvaro and Bai, Zhe and Bertelli, Nicola and Bethel, E. Wes and Hillairet, Julien and Perciano, Talita and Shiraiwa, Syun'ichi and Wallace, Gregory and Wright, John},
abstractNote = {Figure data for the paper 'Machine learning enhanced predictions of ICRF heating: overcoming numerical limitations via data curation' accepted in Physics of Plasmas, DOI TBD},
doi = {10.34770/h8gb-be77},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon May 19 04:00:00 UTC 2025},
month = {Mon May 19 04:00:00 UTC 2025}
}