61 to 70 of 3,878 Results
Jun 18, 2025 -
Molybdenum Density Profiles in Alcator C-Mod Plasmas
Postscript - 7.7 KB -
MD5: 8d4527ce779038a944e331360b527fa3
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Jun 18, 2025 -
Molybdenum Density Profiles in Alcator C-Mod Plasmas
Hierarchical Data Format - 6.6 KB -
MD5: e108c278c1ada8e304ad43fd9070b448
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Jun 18, 2025 -
Molybdenum Density Profiles in Alcator C-Mod Plasmas
Postscript - 6.9 KB -
MD5: 6d48b3dbd5d2a828ec30c5379d4e294f
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Jun 18, 2025 -
Molybdenum Density Profiles in Alcator C-Mod Plasmas
Hierarchical Data Format - 6.6 KB -
MD5: 9bbcb0380ae19f0160629a915d2a3493
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Jun 18, 2025 -
Molybdenum Density Profiles in Alcator C-Mod Plasmas
Postscript - 6.8 KB -
MD5: 9fb1c1b204c02215b93c0f8cd784089a
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Jun 18, 2025 -
Molybdenum Density Profiles in Alcator C-Mod Plasmas
Hierarchical Data Format - 6.6 KB -
MD5: b44ab37eeb039ae393391d2bda29f713
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Jun 18, 2025 -
Molybdenum Density Profiles in Alcator C-Mod Plasmas
Postscript - 6.7 KB -
MD5: f38018f592dd4c4c7709459dc2300a97
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Jun 17, 2025
T. W. O. Varnish; J. Chen; S. Chowdhry; R. Datta; G. V. Dowhan; L. S. Horan, IV; N. M. Jordan; E. R. Neill; A. P. Shah; R. Shapovalov; B. J. Sporer; R. D. McBride; J. D. Hare, 2025, "Quadrupolar density structures in driven magnetic reconnection experiments with a guide field", https://doi.org/10.7910/DVN/IMQWDO, Harvard Dataverse, V1
Magnetic reconnection is a ubiquitous process in plasma physics, driving rapid and energetic events such as coronal mass ejections. Reconnection between magnetic fields with arbitrary shear can be decomposed into an anti-parallel reconnecting component and a non-reconnecting guide-field component, which is parallel to the reconnecting electric fiel... |
Jun 17, 2025 -
Quadrupolar density structures in driven magnetic reconnection experiments with a guide field
Adobe PDF - 14.2 MB -
MD5: eb950b83e3a92b758e3e6002f13cfa16
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Jun 17, 2025
A. Sanchez-Villar; Z. Bai; N. Bertelli; E. W. Bethel; J. Hillairet; T. Perciano; S. Shiraiwa; G. M. Wallace; J. C. Wright, 2025, "Machine learning enhanced predictions of ICRF heating: Overcoming numerical limitations via data curation", https://doi.org/10.7910/DVN/XCXAVP, Harvard Dataverse, V1
In this work we present the development of robust surrogate models for Ion Cyclotron Range of Frequencies (ICRF) and High-Harmonic Fast Wave (HHFW) heating predictions in fusion plasmas. Building upon our previous efforts to achieve real-time capable models, we identify the cause of the outliers found using TORIC in certain HHFW heating scenarios.... |