Helmholtz Institute Freiberg for Resource Technology
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1328 research outputs found
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Data publication: DRACO DataMaster: A Metadata-Driven Approach Utilizing Ontologies and Knowledge Graphs for the Laser Particle Acceleration
DRACO (Dresden laser acceleration source) is a state-of-the-art highpower ultra-short pulse laser experiment at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), dedicated and optimized for investigating relativistic laserplasma physics. The software publication focuses on developing a DRACO DataMaster extension that would enable advanced data handling for the DRACO experiment at HZDR. The data generated in experimental runs at the DRACO experiment comprises integer, double, float, and array values stored in tabular formin the DRACO internal database. The DRACO DataMaster establishes an automated pipeline for creating knowledge graphs from unsorted tabular data that will be enriched with metadata in compliance with ontologies tailored for DRACO experiments. This approach, aligned with FAIR principles (Findable, Accessible, Interoperable, and Reusable), would enable deeper scientific insight and decision-making by enhancing data integration, structuring, and visualization. The proposed pipeline would significantly increase the efficiency and effectiveness of the data-driven research at HZDR, advancing experimental endeavors by providing a robust toolset for scientists.Master Thesis at Otto-von-Guericke University Magdebur
Data Repository for Algebraic image reconstruction for muon scattering computed tomography without tracing
The data repository contains the scripts (G4Beamline, MATLAB) and simulation data used for the investigations in the article 'Algebraic image reconstruction for muon scattering computed tomography without tracing'. README files are provided that explain the workflow from the raw data/simulation scripts to the quantitative parameters of the image analysis presented in Figures 2, 4 and 5 of the article
Ammonia Sensing via Pseudo Molecular Doping in UV-Activated Ambipolar Silicon Nanowire Transistors
The potential of adsorbed gaseous molecules to create shallow electronic states for thermally excited charge carrier transport
and to engineer silicon transistor properties has been largely overlooked compared to traditional substitutional impurities. This
paper successfully modifies the electrical properties of ambipolar silicon junctionless nanowire transistors (Si-JNTs) using the reducing properties of ammonia (NH3) for selective detection. Physisorption of NH3 induces a dual response in both p- and n-type conduction channels of ambipolar Si-JNTs, significantly altering current and key parameters, including the “on” current (Ion), threshold voltage (Vth), and mobility (μ). NH3 interaction increases conduction in the channel and decreases it in the p-channel, acting as an electron donor and hole trap, as supported by Density Functional Theory (DFT) calculations. This provides a pathway for charge transfer and ″pseudo″ molecular doping in ambipolar Si-JNTs. This NH3-mediated molecular doping and conduction modulation in Si transistor enabled, for the first time, the electrical detection of gaseous NH3 at room temperature across a wide concentration range (200 ppb to 50 ppm), achieving high sensitivity (200 ppb) and precise selectivity under ultraviolet (UV) light. UV illumination dynamically modulates current and reveals distinct sensing features in the pand n-channels of the dual-responsive Si JNTs. The ambipolar Si-JNT sensor exhibits a fast response time of 1.91 min for 0.8 ppm of NH3 in the hole conduction channel and a high sensitivity of 80% for 0.8 ppm of NH3 in the electron conduction channel. This dualchannel approach optimizes sensor performance by leveraging the most responsive parameters from each channel. Furthermore, the ambipolarity of Si-JNTs broadens the parameter space for developing a multivariate calibration model, enhancing the selectivity of Si-JNT sensors for NH3 detectio
ComputableDAGs.jl
Represent computations as Directed Acyclic Graphs (DAGs), analyze and optimize them, then compile to native code and run
Data publication: The hydrogenation side-reaction in copper-mediated radiofluorination
NMR of compound RM47
UQTestFuns: A Python3 Library of Uncertainty Quantification (UQ) Test Functions
UQTestFuns is an open-source Python3 library of test functions commonly used within the applied uncertainty quantification (UQ) community. Specifically, the package provides:
an implementation with minimal dependencies (i.e., NumPy and SciPy) and a common interface of many test functions
a single entry point collecting test functions and their probabilistic input specifications in a single Python package
an opportunity for an open-source contribution, supporting the implementation of new test functions or posting reference results.
In short, UQTestFuns is an homage to the Virtual Library of Simulation Experiments (VLSE).
v0.6.0 is a minor release that further expands the library of available UQ test functions and introduces several bug fixes. This update introduces 19 new test functions, bringing the total to 75.
See the complete CHANGELOG.
v0.5.0 is a minor release that further expands the library of available UQ test functions. This update introduces 14 new test functions, bringing the total to 56
Investigations on Polydisperse gas phase - Static
This repository contains sequences of CT images of the two-phase flow in a bubble column consisting of a DN100-PN4 PVC pipe filled with water. As measurement system the ultrafast electron beam X-ray computed tomography scanner was applied in dual plane scanning mode with a dual-imaging frequency of 2,000 Hz. Data containers starting with “SingleBubble” contain image sequences of scans where a single bubble was injected at the bottom of the column using a magnetically operated valve which was open for the time specified in the directory name. Data containers starting with “PolydisperseStatic” contain image sequences of scans where a background flow with 01 to 20 sl/min was induced via a needle sparger in addition to the single bubble (as described before). During each “PolydisperseStatic” scan, the scanning position was fixed at "Hxxx" [mm]. The HDF5 files hold the reconstructed image data (dataset “reco”), each images scanning plane (dataset “plane”), and each images vertical scan position (dataset “scanPosition”)
Data publication: Re-weighting estimator for ab initio path integral Monte Carlo simulations of fictitious identical particles
This repository contains the PIMC raw data presented in the publication "Re-weighting estimator for ab initio path integral Monte Carlo simulations of fictitious identical particles" in the same format and units as in the main text
MPK Korea-Germany Junior Research Fellowship – Monthly Scientific Report (2024/2025)
Monthly research reports written by Junmi Park as part of the MPK (Max Planck POSTECH/Korea Research Initiative) Korea-Germany Junior Research Fellowship Program. The reports summarize her research activities on the recycling of PEM electrolyzers, conducted at the Helmholtz Institute Freiberg for Resource Technology (HIF), Helmholtz-Zentrum Dresden-Rossendorf (HZDR)
Extend e3-build-tools to be able to use multiple repositories
The e3-build-tools as currently available for download from https://gitlab.esss.lu.se/e3/e3-build-tools.git are fixed to download all code from a single repository at ESS. This set of patches enable the use of other repositories in addition, so that the set of abvailable modules can be extended from a local repository