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researcher

S. Ku

17 papers hereh-index 292.7k citations207 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author15

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • physics.plasm-ph16
  • cs.DC1
same name
  • S. Ku — 7 papers, h 4
  • S. Ku — 6 papers, h 6
  • S. Ku — 2 papers, h 10
  • S. Ku — 1 paper, h 2
  • S. Ku — 1 paper, h 2
  • S. Ku — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172025
most citedGyrokinetic projection of the divertor heat-flux width from present tokamaks to ITER

182 citations · 411 across the 17 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

physics.plasm-ph2021★ 5 cited

Effects of collisional ion orbit loss on neoclassical tokamak radial electric fields

Hongxuan Zhu, T. Stoltzfus-Dueck, R. Hager +2

Ion orbit loss is considered important for generating the radially inward electric field Er​ in a tokamak edge plasma. In particular, this effect is emphasized in diverted tokama…

physics.plasm-ph2021★ 13 cited

Verification of a Fully Implicit Particle-in-Cell Method for the v∥​ Formalism of Electromagnetic Gyrokinetics in the XGC Code

Benjamin J. Sturdevant, S. Ku, L. Chacón +8

A fully implicit particle-in-cell method for handling the v∥​-formalism of electromagnetic gyrokinetics has been implemented in XGC. By choosing the v∥​-formali…

physics.plasm-ph2021★ 44 cited

Constructing a new predictive scaling formula for ITER's divertor heat-load width informed by a simulation-anchored machine learning

C. S. Chang, S. Ku, R. Hager +6

Understanding and predicting divertor heat-load width λq​ is a critically important problem for an easier and more robust operation of ITER with high fusion gain. Previous predic…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.