12 research outputs found
ESR Modes in CsCuCl3 in Pulsed Magnetic Fields
We present ESR results for 35-134GHz in the antiferromagnet CsCuCl3 at
T=1.5K. The external field is applied perpendicular to the hexagonal c-axis.
With our pulsed field facility we reach 50T an unprecedented field for low
temperature ESR. We observe strong resonances up to fields close to the
ferromagnetic region of ~30T. These results are discussed in a model for
antiferromagnetic modes in a two-dimensional frustrated triangular spin system.Comment: 3 pages, RevTeX, 3 figures. to be published in Solid State
Communication
Optoelectronic perovskite film characterization via machine vision
<p>We present our research for fast and reliable extraction of bandgap and absorption quality values for triple-cation <a href="https://www.sciencedirect.com/topics/materials-science/perovskite">perovskite</a> <a href="https://www.sciencedirect.com/topics/materials-science/thin-films">thin films</a> from sample scans. Our approach leverages <a href="https://www.sciencedirect.com/topics/engineering/machine-learning-method">machine learning methods</a>, namely <a href="https://www.sciencedirect.com/topics/engineering/convolutional-neural-network">convolutional neural networks</a>, to perform regression tasks aimed at predicting the properties of interest. To this end, thin film samples were synthesized via blade-coating and their <a href="https://www.sciencedirect.com/topics/materials-science/photoluminescence">photoluminescence</a> and ultraviolet–visible spectra collected, along with the film thickness. We propose a method of computing a dimensionless figure of merit we called the Area Under Absorption Coefficient (AUAC), its purpose being to qualitatively evaluate the absorption quality of perovskite films for use in <a href="https://www.sciencedirect.com/topics/engineering/photovoltaic-modules">photovoltaic modules</a>. This work demonstrates the usability of simple imaging techniques to analyze experimental samples while requiring only a feasibly acquirable initial amount of data. Our reported method can help speed up time consuming <a href="https://www.sciencedirect.com/topics/engineering/material-optimisation">material optimizations</a> by reducing lab time spent on <a href="https://www.sciencedirect.com/topics/engineering/recurrent">recurrent</a> characterization, nicely synergizes with high throughput production lines and could be adapted for quick extraction of other optoelectrical quantities.</p>
Optoelectronic perovskite film characterization via machine vision
<p>We present our research for fast and reliable extraction of bandgap and absorption quality values for triple-cation <a href="https://www.sciencedirect.com/topics/materials-science/perovskite">perovskite</a> <a href="https://www.sciencedirect.com/topics/materials-science/thin-films">thin films</a> from sample scans. Our approach leverages <a href="https://www.sciencedirect.com/topics/engineering/machine-learning-method">machine learning methods</a>, namely <a href="https://www.sciencedirect.com/topics/engineering/convolutional-neural-network">convolutional neural networks</a>, to perform regression tasks aimed at predicting the properties of interest. To this end, thin film samples were synthesized via blade-coating and their <a href="https://www.sciencedirect.com/topics/materials-science/photoluminescence">photoluminescence</a> and ultraviolet–visible spectra collected, along with the film thickness. We propose a method of computing a dimensionless figure of merit we called the Area Under Absorption Coefficient (AUAC), its purpose being to qualitatively evaluate the absorption quality of perovskite films for use in <a href="https://www.sciencedirect.com/topics/engineering/photovoltaic-modules">photovoltaic modules</a>. This work demonstrates the usability of simple imaging techniques to analyze experimental samples while requiring only a feasibly acquirable initial amount of data. Our reported method can help speed up time consuming <a href="https://www.sciencedirect.com/topics/engineering/material-optimisation">material optimizations</a> by reducing lab time spent on <a href="https://www.sciencedirect.com/topics/engineering/recurrent">recurrent</a> characterization, nicely synergizes with high throughput production lines and could be adapted for quick extraction of other optoelectrical quantities.</p>
Hochfeldexperimente an stark korrelierten elektronischen Systemen Abschlussbericht 2. Foerderperiode
Available from TIB Hannover: F01B1539+a / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEBundesministerium fuer Bildung und Forschung, Berlin (Germany)DEGerman
Unusual B-T phase diagram of the heavy-fermion superconductor CeCu<sub>2</sub>Si<sub>2</sub>
Elastic constant and thermal expansion data for a high quality single crystal of CeCu2Si2 are presented. The data yield a detailed B-T phase diagram exhibiting a previously unknown high-field phase. From the unusual behavior of the elastic constants and the thermal expansion on entering the superconducting phase we deduce that, in contrast to other heavy-fermion superconductors, the superconducting phase of CeCU2Si2 does not coexist with the surrounding phase