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V. Zermeño

16 papers hereh-index 161k citations47 works total

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

author position
  • first author5
  • middle author6
  • last author2

Across the 13 of 16 papers where every author was matched, so the position is known.

fields
  • cond-mat.supr-con15
  • physics.acc-ph1
same name
  • V. Zermeño — 14 papers, h 17

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
20132020
most citedSelf-consistent Modeling of the Ic​ of HTS Devices: How Accurate do Models Really Need to Be?

164 citations · 706 across the 16 of their papers we have counts for

collaborators
Showing 2016Show all

3 papers · 1 filter

cond-mat.supr-con2016★ 53 cited

A parameter-free method to extract the superconductor's Jc​(B,θ) field-dependence from in-field current-voltage characteristics of HTS tapes

Víctor M. R. Zermeño, Krzysztof Habelok, Mariusz Stępień +1

The estimation of the critical current (Ic​) and AC losses of high-temperature superconductor (HTS) devices through modeling and simulation requires the knowledge of the critical…

cond-mat.supr-con2016★ 35 cited

Simulation and experiments of Stacks of High Temperature Superconducting Coated Conductors Magnetized by Pulsed Field Magnetization with Multi-Pulse Technique

Shengnan Zou, Victor M. R. Zermeno, A. Baskys +3

High temperature superconducting (HTS) bulks or stacks of coated conductors (CCs) can be magnetized to become trapped field magnets (TFMs). The magnetic fields of such TFMs can bre…

cond-mat.supr-con2016★ 3 cited

Estimation of maximum possible trapped field in superconducting permanent magnets in 2D and 3D

Víctor M. R. Zermeño, Algirdas Baskys, Shengnan Zou +2

The ability of stacks of superconducting tapes to trap large magnetic fields makes them ideal candidates for creating powerful permanent magnets of compact size and mass. Experimen…

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