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Title Microstructural and superconducting radiofrequency (SRF) properties of multilayer sequentially sputtered Nb3Sn films
Authors Md. Nizam Sayeed, Grigory Eremeev, Charles Reece, Hani ELSAYED-ALI, Peter Owen
JLAB number JLAB-ACC-20-3281
LANL number (None)
Other number DOE/OR/23177-5076
Document Type(s) (Meeting) 
Category: SRF Technology
Associated with EIC: No
Supported by Jefferson Lab LDRD Funding: No
Funding Source: Nuclear Physics (NP)
 

Meeting
Paper compiled for Applied Superconductivity Conference

Journal
Compiled for IEEE Transactions in Applied Superconductivity
Volume 31
Issue 5
Page(s) 3500404
Refereed
Publication Abstract: Nb3Sn is considered as a potential candidate for superconducting radiofrequency cavities for particle acceleration due to its higher transition temperature of 18.3 K and higher superheating field of 400 mT. Nb3Sn films can be grown inside the surface of a Nb cavity by sequentially sputtering multiple layers of Nb and Sn thin films followed by annealing at 950 °C for 3 h. Here we report the microstructure analysis of Nb3Sn films grown on Nb substrates. The films crystal structure, surface morphology, and compositions were characterized by X-ray diffraction, scanning electron microscopy, and energy-dispersive X-ray spectroscopy respectively. The films had polycrystalline Nb3Sn structure with fine grain surface and an atomic Sn composition of ~23%. We also report the RF surface resistance of this film under different temperatures at 7.4 GHz to understand the feasibility of this method for the SRF application. The RF surface resistance of the films fabricated from magnetron sputtering were compared to the properties of Nb3Sn film grown by the conventional Sn vapor diffusion technique. The films had superconducting transition similar to the vapor diffused Nb3Sn films.
Experiment Numbers:
Group: SRF Research & Dev
Document: pdf
DOI: https://doi.org/10.1109/TASC.2021.3059816
Accepted Manuscript: FINAL_VERSION ASC2020 Nizam manuscript(1).pdf
Supporting Documents:
Nb3Sn-paper-draft-ASC6.docxoriginal word document (Supporting)
Supporting Datasets: