LabCompass

E. Barzi

Engineering · The Ohio State University

Established · publishing since 1996

Publications

369

Citations

10,700

Est. group size

Recurring co-author estimate

Active years

31

Publishing since 1996

Research summary
AI-generated

E. Barzi works on the design, construction, and testing of superconducting magnets used in particle accelerators, including dipole coils made from materials like Nb3Sn and Bi-2212 that must withstand extreme magnetic and mechanical stresses. This work supports large physics facilities such as Fermilab and contributes to projects like muon experiments and future muon colliders, as well as undulator magnets for synchrotron light sources. The research combines materials science, engineering testing, and applied superconductivity with some involvement in physics education and outreach programs.

Superconducting magnet design and testingAccelerator technology (dipole coils, undulators)Superconducting materials (Nb3Sn, Bi-2212)Particle physics instrumentation (muon experiments, colliders)Physics education and training programs

Publication output has been fairly steady to slightly growing over the last decade, with a notable increase in output during 2022-2024 compared to earlier years, though 2025-2026 shows a marked slowdown in recorded output.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 11.6/year recently
2017: 4 publications172018: 5 publications182019: 20 publications20192020: 9 publications202021: 8 publications212022: 17 publications222023: 18 publications232024: 18 publications242025: 4 publications252026: 1 publication26
Recent publications
Publishes in
  • IEEE Transactions on Applied Superconductivity×36
  • arXiv (Cornell University)×23
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)×7
  • The European Physical Journal Special Topics×3
  • The European Physical Journal C×3
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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