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      Rapid-scan electron paramagnetic resonance using an EPR-on-a-Chip sensor

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          Abstract

          Electron paramagnetic resonance (EPR) spectroscopy is the method of choice to investigate and quantify paramagnetic species in many scientific fields, including materials science and the life sciences. Common EPR spectrometers use electromagnets and microwave (MW) resonators, limiting their application to dedicated lab environments. Here, novel aspects of voltage-controlled oscillator (VCO)-based EPR-on-a-Chip (EPRoC) detectors are discussed, which have recently gained interest in the EPR community. More specifically, it is demonstrated that with a VCO-based EPRoC detector, the amplitude-sensitive mode of detection can be used to perform very fast rapid-scan EPR experiments with a comparatively simple experimental setup to improve sensitivity compared to the continuous-wave regime. In place of a MW resonator, VCO-based EPRoC detectors use an array of injection-locked VCOs, each incorporating a miniaturized planar coil as a combined microwave source and detector. A striking advantage of the VCO-based approach is the possibility of replacing the conventionally used magnetic field sweeps with frequency sweeps with very high agility and near-constant sensitivity. Here, proof-of-concept rapid-scan EPR (RS-EPRoC) experiments are performed by sweeping the frequency of the EPRoC VCO array with up to 400 THz s -1 , corresponding to a field sweep rate of 14 kT s -1 . The resulting time-domain RS-EPRoC signals of a micrometer-scale BDPA sample can be transformed into the corresponding absorption EPR signals with high precision. Considering currently available technology, the frequency sweep range may be extended to 320 MHz, indicating that RS-EPRoC shows great promise for future sensitivity enhancements in the rapid-scan regime.

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          EasySpin, a comprehensive software package for spectral simulation and analysis in EPR.

          EasySpin, a computational package for spectral simulation and analysis in EPR, is described. It is based on Matlab, a commercial technical computation software. EasySpin provides extensive EPR-related functionality, ranging from elementary spin physics to data analysis. In addition, it provides routines for the simulation of liquid- and solid-state EPR and ENDOR spectra. These simulation functions are built on a series of novel algorithms that enhance scope, speed and accuracy of spectral simulations. Spin systems with an arbitrary number of electron and nuclear spins are supported. The structure of the toolbox as well as the theoretical background underlying its simulation functionality are presented, and some illustrative examples are given.
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              Electron Spin Resonance in Amorphous Silicon, Germanium, and Silicon Carbide

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                Author and article information

                Contributors
                Journal
                Magn Reson (Gott)
                Magn Reson (Gott)
                MR
                Magnetic resonance
                Copernicus GmbH
                2699-0016
                25 August 2021
                2021
                : 2
                : 2
                : 673-687
                Affiliations
                [1 ] Berlin Joint EPR Laboratory and EPR4Energy, Department Spins in Energy Conversion and Quantum Information Science (ASPIN), Helmholtz-Zentrum Berlin für Materialien und Energie GmbH, Hahn-Meitner-Platz 1, 14109 Berlin, Germany
                [2 ] Institute of Smart Sensors, Universität Stuttgart, Pfaffenwaldring 47, 70569 Stuttgart, Germany
                [3 ] Berlin Joint EPR Laboratory, Fachbereich Physik, Freie Universität Berlin, Arnimallee 14, 14195 Berlin, Germany
                [4 ] EPR4Energy, Max-Planck-Institut für chemische Energiekonversion, Stiftstraße 34–36, 45470 Mülheim an der Ruhr, Germany
                [5 ] Center for Integrated Quantum Science and Technology (IQST), Stuttgart and Ulm, Germany
                Author notes
                [*] Correspondence: Boris Naydenov ( boris.naydenov@ 123456helmholtz-berlin.de )
                Article
                01021829
                10.5194/mr-2-673-2021
                10539758
                37905212
                8c662731-6211-43d2-b584-b31a12c8ebac
                Copyright: © 2021 Silvio Künstner et al.

                This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/

                History
                : 26 April 2021
                : 17 August 2021
                Funding
                Funded by: Bundesministerium für Bildung und Forschung (grant no. 01186916/1)
                Funded by: the Helmholtz-Gemeinschaft Deutscher Forschungszentren (HGF, Helmholtz Energy Materials Foundry)
                Funded by: Deutsche Forschungsgemeinschaft (grant nos. 410866378 and 410866565)
                Categories
                Research Article

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