Helmholtz Institute Freiberg for Resource Technology
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1328 research outputs found
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Data publication: Simulation of potential and species distribution in a Li||Bi liquid metal battery using coupled meshes
No full textSolver and simulation data for validation test cas
Data and Software - Synchronizing the Rayleigh-Benard Instability in a Liquid Metal Flow Using Electromagnetic Forces
No full textData and software of the dissertation (to be) submitted to TU Ilmenau by Peter Jüstel
Innovationstreiber KI - KI-Vernetzungsveranstaltung Helmholtz-Zentrum Dresden-Rossendorf 25. November 2022 - Bericht zur Veranstaltung
No full textEines der wichtigsten Anliegen der KI-Strategie ist es den Wissens- und Technologietransfer zu fördern. Unser Ziel ist es dabei, den Transfer von Forschungsergebnissen in die Wirtschaft und in die Gesellschaft weiter zu verbessern. Dafür möchten wir uns gerne mit Ihnen im Rahmen der Veranstaltung austauschen und über Lösungsansätze diskutieren. Nach einem Grußwort des Vorstands des Helmholtz-Zentrum Dresden-Rossendorf, Herrn Prof. Dr. Sebastian M. Schmidt, und Herrn Staatsminister Sebastian Gemkow haben wir für Sie verschiedene Impulsvorträge von Seiten der Wissenschaft, Wirtschaft und Verwaltung vorbereitet. Insbesondere die Helmholtz-Gemeinschaft als Gastgeberin wird sich mit ihren Aktivitäten vorstellen. Im Rahmen von Themenräumen haben Sie dann die Möglichkeit, sich intensiv in Kleingruppen über die verschiedenen Aspekte und Themen der Nutzung von KI auszutauschen. Am Ende der Veranstaltung soll dann ein Ergebnispapier mit den wesentlichen Erkenntnissen stehen. Die zentralen Fragestellungen sind dabei, wie aus den wissenschaftlichen Erkenntnissen konkrete Anwendungen bzw. Produkte entstehen können und wie man als Unternehmen die Erkenntnisse nutzbar machen kann. In den Themenräumen sollen sich die Teilnehmer dann zu den verschiedenen Fragestellungen des Wissenstransfers, der Kooperation und Umsetzung austauschen. Denn trotz unterschiedlicher Geschäftsfelder und Branchen gibt es bei den grundlegenden Methoden und Herangehensweisen Überschneidungen
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences
No full textThe increasing use of deep learning techniques has reduced interpretation time and, ideally, reduced interpreter bias by automatically deriving geological maps from digital outcrop models. However, accurate validation of these automated mapping approaches is a significant challenge due to the subjective nature of geological mapping and the difficulty in collecting quantitative validation data. Additionally, many state-of-the-art deep learning methods are limited to 2D image data, which is insufficient for 3D digital outcrops, such as hyperclouds. To address these challenges, we present Tinto, a multi-sensor benchmark digital outcrop dataset designed to facilitate the development and validation of deep learning approaches for geological mapping, especially for non-structured 3D data like point clouds. Tinto comprises two complementary sets: 1) a real digital outcrop model from Corta Atalaya (Spain), with spectral attributes and ground-truth data, and 2) a synthetic twin that uses latent features in the original datasets to reconstruct realistic spectral data (including sensor noise and processing artifacts) from the ground-truth. The point cloud is dense and contains 3,242,964 labeled points. We used these datasets to explore the abilities of different deep learning approaches for automated geological mapping. By making Tinto publicly available, we hope to foster the development and adaptation of new deep learning tools for 3D applications in Earth sciences.This research received funding from the Initiative and Networking Fund (INF) of the Hermann von Helmholtz Association of German Research Centres in the framework of the Helmholtz Imaging Platform under grant agreement No ZT-I-PF-4-021
Data publication: Chelator Impact: Investigating the Pharmacokinetic Behavior of Copper-64 Labeled PD-L1 Radioligands
No full textBei diesem Datensatz handelt es sich um die chemische Charakterisierung der Verbindungen, die in-vitro- und in-vivo-Daten
Data publication: Design, Synthesis, and Biological Evaluation of Small Molecule Based Radioligands with Improved Pharmacokinetic Properties for Imaging of Programmed Death Ligand 1
No full textBei diesem Datensatz handelt es sich um die chemische Charakterisierung der Verbindungen, die in-vitro-, in-vivo- und ex-vivo-Daten
Data publication: Fluid Transport in Ordinary Portland Cement and Slag Cement from in-situ Positron Emission Tomography
No full textSupplemental Primary PET Data to Fluid Transport in Ordinary Portland Cement and Slag Cement from in-situ Positron Emission Tomography Reiss, A.; Kulenkampff, J.; Bar-Nes, G.; Fischer, C.; Emmanuel, S. Submitted to Cement and Concrete Research 02.11.24 Material and procedure are characterized in the paper. PET data are supplied in Interfile format (Original: Cradduck T.D., Bailey D.L., Hutton BF, Deconinck F., Busemann Sokole E., Bergmann H., Noelpp U.: “A standard protocol for the exchange of nuclear medicine image files. Nucl Med Commun; 10:703-713 (1989), used version: https://stir.sourceforge.net/links/petinterfile03.pdf). The interfile format includes an ASCII header file (.hv) and a binary file containing the volume data (.v). Import filters exist for many visualization frameworks (e.g. Matlab, Avizo); otherwise the binary data files can be imported as raw data, taking into account the format given in the header file. The header tags were extended for relevant experimental parameters of non-medical PET experiments and in this way serve as experimental protocol. List of data files: cem1_F-18.7z: 17 PET frames from the 18F intrusion experiment cem1_Cu-64.7z: 31 PET frames from the 64Cu intrusion experiment cem1_I-124.7z: 34 PET frames from the 124I intrusion experiment The PET data sets (LMFs) were acquired with a tilted ClearPET-scanner (Elysia-Raytest) with a vertical axis of the cylindrical FOV at HZDR. The “trues”-projections were corrected for attenuation and scatter with a procedure based on the STIR-library (https://stir.sourceforge.net, version 3.0, Kris Thielemans, Charalampos Tsoumpas, Sanida Mustafovic, Tobias Beisel, Pablo Aguiar, Nikolaos Dikaios, and Matthew W Jacobson, STIR: Software for Tomographic Image Reconstruction Release 2, Physics in Medicine and Biology, 57 (4), 2012 pp.867-883)
Data publication: Fermionic physics from ab initio path integral Monte Carlo simulations of fictitious identical particles
No full textThis repository contains the PIMC/CPIMC results shown in J. Chem. Phys. 159, 164113 (2023)
Data publication: Piezostrain as a Local Handle to Control Gyrotropic Dynamics of Magnetic Vortices
No full textThe archive contains the experimental (MR and EDFMR) and simulated (mumax3) data related to the publication "Piezostrain as a Local Handle to Control Gyrotropic Dynamics of Magnetic Vortices" (Physical Review Applied 20(2023), 024080)
Data publication: Magnetic State Control of Non-van der Waals 2D Materials by Hydrogenation
No full textThis dataset includes the primary research data for the publication "Magnetic State Control of Non-van der Waals 2D Materials by Hydrogenation"