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researcher

E. Paul

10 papers here

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

author position
  • sole author1
  • first author3
  • middle author4
  • last author2

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • physics.plasm-ph10
same name
  • E. Paul — 16 papers, h 40
  • E. Paul — 8 papers
  • E. Paul — 2 papers, h 5
  • E. Paul — 2 papers, h 5
  • E. Paul — 2 papers
  • E. Paul — 1 paper, h 4

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
20182021
most citedAdjoint approach to calculating shape gradients for three-dimensional magnetic confinement equilibria. Part II: Applications

12 citations · 43 across the 5 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

physics.plasm-ph2019★ 12 cited

Adjoint approach to calculating shape gradients for three-dimensional magnetic confinement equilibria. Part II: Applications

Elizabeth J. Paul, Thomas Antonsen, Matt Landreman +1

The shape gradient is a local sensitivity function that provides the change in a figure of merit associated with a perturbation to the shape of the object. The shape gradient can b…

physics.plasm-ph2019

An Introduction to Stellarators: From magnetic fields to symmetries and optimization

Lise-Marie Imbert-Gerard, Elizabeth J. Paul, Adelle M. Wright

In this self-contained document, we aim to present the basic theoretical building blocks to understand modeling of stellarator magnetic fields, some of the challenges associated wi…

physics.plasm-ph2019

An adjoint method for neoclassical stellarator optimization

Elizabeth Paul, Ian Abel, Matt Landreman +1

Stellarators are a promising route to steady-state fusion power. However, to achieve the required confinement, the magnetic geometry must be highly optimized. This optimization req…

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