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DOE OSTI · 3377533

STM/S Grid LDOS Data and Analysis Code for Deciphering Majorana Zero Modes in Topological Superconductor

Park, Jewook [Oak Ridge National Laboratory] (ORCID:0000000336831933)·Jeon, Hoyeon [Oak Ridge National Laboratory] (ORCID:0000000332002433)·Shin, Dongwon [Oak Ridge National Laboratory] (ORCID:0000000257973423)·Zhang, Guannan [Oak Ridge National Laboratory] (ORCID:000000017256150X)·McGuire, Michael [Oak Ridge National Laboratory] (ORCID:0000000317629406)·Sales, Brian [Oak Ridge National Laboratory] (ORCID:0000000263355912)·Li, An-Ping [Oak Ridge National Laboratory] (ORCID:0000000344007493)
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Abstract

This dataset provides raw millikelvin scanning tunneling microscopy/spectroscopy (STM/S) grid spectroscopy data and Python analysis scripts supporting the manuscript “Deciphering Majorana Zero Modes in Topological Superconductor FeTe0.55Se0.45 with Machine-Learning-Assisted Spectral Deconvolution.” The dataset includes a raw grid spectroscopy file acquired on FeTe0.55Se0.45 at 40 mK under magnetic field, together with Python/Jupytext analysis scripts used for STM/S data processing, visualization, spectral deconvolution, Lorentzian peak fitting, feature extraction, machine-learning-assisted clustering, and figure generation. These files support the analysis of vortex-core local density of states and the identification of zero-bias-peak-related spectral components from complex in-gap states. The dataset is intended to provide a citable archival record of the data and analysis code associated with the published manuscript and to support transparency and reproducibility of the reported STM/S and machine-learning workflow.

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BibTeXRIS

Park, Jewook [Oak Ridge National Laboratory] (ORCID:0000000336831933), Jeon, Hoyeon [Oak Ridge National Laboratory] (ORCID:0000000332002433), Shin, Dongwon [Oak Ridge National Laboratory] (ORCID:0000000257973423), Zhang, Guannan [Oak Ridge National Laboratory] (ORCID:000000017256150X), McGuire, Michael [Oak Ridge National Laboratory] (ORCID:0000000317629406), Sales, Brian [Oak Ridge National Laboratory] (ORCID:0000000263355912), Li, An-Ping [Oak Ridge National Laboratory] (ORCID:0000000344007493). 2026-07-29. STM/S Grid LDOS Data and Analysis Code for Deciphering Majorana Zero Modes in Topological Superconductor. https://doi.org/10.13139/ornlnccs%2F3377533

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Waveguide-based microwave plasmas generally operate at high temperatures (2000 - 6000K)[1], making it difficult to directly interface solid materials with the plasma without significant thermal damage. Dielectric microwave resonators (DMRs), long studied for wave-based manipulation of electromagnetic radiation for telecom and optics, can focus radiation to extremely small mode volumes, creating intense localized fields with low-power input.[2] This phenomenon can be used for applications ranging from efficient plasma electronics to near-ambient plasma-materials interactions. Such DMR-based plasmas have been demonstrated a handful of times in the literature, but the majority of research towards this utilize the lowest frequency resonance mode.[3], [4], [5] By carefully controlling the geometry of cylindrical resonators, a variety of electromagnetic modes can be excited. In this work, COMSOL Multiphysics simulations are used to study the electric field enhancement and absorption properties of CaTiO3 DMRs as a function of geometry and excitation frequency. Whereas previous studies have utilized the HEM111 resonance frequency to drive low power plasma excitation, we find that higher order resonance frequencies are more effective at field enhancement and result in less power loss within the dielectric material, hence less wasted heating. The effectiveness of these modes is also geometry dependent and can be computationally optimized for plasma generation. Complementing these computational efforts, we demonstrate a new closed-system reactor design built in a WR-650 waveguide and experimentally demonstrate the formation of atmospheric argon microwave plasma using < 30 W input power on DMR dimers. We observe a shifting resonance frequency as the DMRs heat in response to microwave excitation and develop a Python-based lock-in mechanism to effectively track the DMR resonance over time, leading to stable plasma operation. We use infrared thermal imaging to monitor the temperature of the DMR dimers and surrounding quartz chamber, demonstrating thermal temperatures < 60 degreesC. Finally, we utilize optical emission spectroscopy (OES) to probe the plasma properties as a function of the resonance mode.

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