Helmholtz Institute Freiberg for Resource Technology
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Multiphase Python Repository by HZDR
The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and set-ups for the open-source software released by the OpenFOAM Foundation. This includes among others utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and continuous development environment in a self-hosted Gitlab instance
Minterpy - multivariate polynomial interpolation
minterpy is an open-source Python package for a multivariate generalization of the classical Newton and Lagrange interpolation schemes as well as related tasks. It is based on an optimized re-implementation of the multivariate interpolation prototype algorithm (MIP) by Hecht et al.1 and thereby provides software solutions that lift the curse of dimensionality from interpolation tasks. While interpolation occurs as the bottleneck of most computational challenges, minterpy aims to free empirical sciences from their computational limitations
µCT data of Opalinus Clay samples (argillaceous and sandy facies) from Mont Terri, Switzerland
9 Opalinus Clay samples, both from the argillaceous and from the sandy facies, scanned with the microfocus CT-scanner (µCT) Nikon XT H 225 at HZDR FWOT, including drill cores and cuttings (preparation remnants).
The voxel size (ca. resolution) is between 10 µm and 100 µm.
All tomograms were stored as 3D-blocks with unsigned 16-bit integers of uncalibrated gray levels. The voxel size and dimensions are given in the file name.
See data description in pdf-document OPA_uCT.pdf
Raw data availability on request:
CT-projections (\\gssnas\bigdata\FWOT_Img\CT_raw)
CT-reconstructions (\\lpzfiler01\geopet\GeoCT)
Avizo projects (HZDR archive)These data were generated within the framework of projects funded by
BMWi (02E10971), BMBF (02NUK053B), and Helmholtz Association (SO-093 "iCross"
Exploring Morphology of Thermoplasmonic Nanoparticles to Synergize Immunotherapeutic FAP-positive Cells Sensitization and Photothermal Therapy
The precision of photothermal therapy (PTT) is often hindered by the challenge of achieving selective delivery of thermoplasmonic nanostructures to tumors. Key enabler for the specific delivery is so-called active targeting, leveraging synthetic molecular complexes to address receptors overexpressed by malignant cells. The latter one enables combination of the PTT with other anticancer therapy. In this study, we developed thermoplasmonic nanoconjugates designed to selectively sensitize malignant cells to PTT. These nanoconjugates consist of (i) 20 nm spherical gold nanoparticles (AuNPs) or gold nanostars (AuNSs) as nanocarriers, and facilitate heat-generation upon optical irradiation, and (ii) surface-passivated antibody-based FAP targeting modules (anti-FAP TMs), used in adaptive CAR T-cells immunotherapy. The nanoconjugates demonstrated excellent stability and specific binding to FAP-expressing fibrosarcoma HT1080 (hFAP) cells, as confirmed by immunofluorescence and label-free surface plasmon resonance scattering imaging. Moreover, the nanocarriers showed significant photothermal conversion after visible and near-infrared (NIR) irradiation. Quantitative thermal lens spectroscopy (TLS) demonstrated the superior photothermal capability of AuNSs, achieving up to 1.5-fold greater thermal enhancement than AuNPs under identical conditions. This synergistic approach, combining targeted immunotherapy with the thermoplasmonic properties of the nanocarriers not only streamline nanoparticle delivery, increasing photothermal yield and therapeutic efficacy, but also offers a more comprehensive and potent strategy for cancer treatment with the potential for superior outcomes across multiple modalities
Data publication: Tuning the morphology of self-assembled nanopatterns on MgO(001) surfaces by sequential broad-beam ion irradiation
raw and processed atomic force microscopy dat
Data publication: Graphene structure modification under tritium exposure: 3H chemisorption dominates over defect formation by β- radiation
Potential structural modifications of graphene exposed to gaseous tritium are important for membrane-based hydrogen isotope separation. Such modifications cannot be explained by electron irradiation alone. Instead, tritiation, caused by the tritium radicals remaining after the decay, is the primary effect causing the modification of the graphene surface, as confirmed by confocal Raman spectroscopy. The effect of the interaction of tritium atoms with the graphene surface exceeds that of electron irradiation at the average energy of the beta particles (5.7 keV). Compared to previously investigated high electron doses in the absence of tritium, remarkably low concentrations of tritium already induce a significant amount of sp3- and vacancy-type defects at short exposure times. Our findings are supported by molecular dynamics simulations of graphene bombardment with tritium atoms. As a consequence, tritium saturation of graphene may alter its permeability for hydrogen isotopes, thus affecting potential applications
Neutron imaging and light output calibration with the miniNOVO prototype at the Physikalisch-Technische Bundesanstalt (PTB) Braunschweig
This data set contains the experimental raw data from the measurement campaign at PTB in March 2024 funded by the European Innovation Council (EIC).
Setup:
The miniNOVO prototype (version 4) consists of 14 organic scintillator elements (7 × M600 and 7 × organic glas scintillator) of the dimensions . The scintillator bars have dual readout composed of
2 × Hamamatsu R7378A (1’’) PMTs1,
4 × Hamamatsu S14161-3050HS-04 SiPM1 + U3012 (+ custom front-end electronics) and
8 × Hamamatsu R2059-01 (2’’) PMTs1.
The data was recorded with 2 CAEN V1730S3 14-bit, 16-channel digitizers (named dta and dtb) with a sampling frequency of 500 MS/s. A 1’’ CeBr3-detector was employed as a reference detector and positioned centrally behind the array. This detector was used for time calibration and time-of-flight measurements as start detector with a Pu-238 source.
The detector array was irradiated head-on with mono-energetic neutron fields at the PIAF accelerator facility (Tandetron accelerator) of the energies . The array position was shifted in two dimensions in 1 cm increments for the measurements, in 5cm increments for and at 1, 2 and 5 cm in both directions for the remaining energies.
Data structure:
The directory calibration contains six subdirectories dedicated to the time calibration with the reference detector, the position calibration with a Sr-90 source, the energy calibration with a Bi-207 and a Na-22 source, the gate optimisation and the gain matching. In the neutron_beam folder the measurements with the different neutron fields can be found, sorted into the corresponding subdirectory by energy. Waveform data recorded with a Pu-238 source is saved in the waveform_data folder and measurements with the reference detector can be found in the reference_detector directory. All other measurements and test runs are stored in the tests folder.
influxDB holds the slow control data entries in a csv file and the main configuration files for the digitizers are saved in the DDAQconfig folder. In documentation a pdf-file of the elog providing more detailed information about the individual data files and a pdf-file with the detector setup are stored.
Data Format:
All data is saved in root files which each contain two root trees, one for each digitizer, named “dta” and “dtb”. The trees hold the following information in the form of listmode data for each event: digitizer channel ("channel"), charge integrated over long gate ("Elong"), charge integrated over short gate ("Eshort"), digitizer flags ("flags") and the timestamp (separated in three parts: "timestamp", "timestampExtended", "time"). Additionally, the root files also contain an TArrayD which denotes the start time of the measurement in UNIX time at its first index and the stop time at its second.
There are two configuration files for each data file (named “filename_dtx.config”), one for each digitizer card. These text files contain the information about the digitizer settings for each run.
[1] Hamamatsu Photonics Deutschland GmbH, Arzbergerstr. 10, 82211 Herrsching am Ammersee, Germany.
[2] Target Systemelektronik, Heinz-Fangman-Straße 4, 42287 Wuppertal, Germany.
[3] CAEN S.p.A., Via Vetraia 11, 55049 Viareggio (LU), Italy.The NOVO project has received funding from the European Innovation Council (EIC) under grant agreement No. 101130979. The EIC receives support from the European Union's Horizon Europe research and innovation programme.
Partners from The University of Manchester has received funding from UK Research and Innovation under grant agreement No. 1010211
LaserVizTool
Python application using QT5 showing pictures from different cameras (directories) in a grid and a stepwise counter-based scroll functionality original developed for the laser systems at the Department of Laser-driven Particle Acceleration (LPA) at the Institute of Radiation Physics at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR)
Röntgenbilddaten_KIT_FB_DN100_Teil2
HDF5-Container enthalten die rekonstruierten Schnittbilder als Stack zu 2x10000 Bilder mit 256x256px.
Wechselseitig Bildebene 1 und 2 ("deinterleave"-Funktion verwenden)
Data publication: η-ensemble path integral Monte Carlo approach to the free energy of the warm dense electron gas and the uniform electron liquid
This repository contains raw data from the publication "η-ensemble path integral Monte Carlo approach to the free energy of the warm dense electron gas and the uniform electron liquid" in the same format as in the main text. Additional data are given in Table I in the paper