Helmholtz Institute Freiberg for Resource Technology
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1328 research outputs found
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ComputableDAGs.jl
No full textRepresent computations as Directed Acyclic Graphs (DAGs), analyze and optimize them, then compile to native code and run
ComputableDAGs.jl
No full textRepresent computations as Directed Acyclic Graphs (DAGs), analyze and optimize them, then compile to native code and run
Numerical data to optimize a single-ended drift chamber for muon imaging
No full textThis data repository contains a simulation study of a single wire, modular and robust ionisation gas drift chamber designed for muon imaging applications using COMSOL and GARFIELD simulation tools, which provide static electrical field studies and electron drift analysis, respectively
Software: mumax3-pwsp for HPC
No full textThis is a mumax3 (https://mumax.github.io/) software extension to compute the power spectrum from the mumax3 simulations, especially designed to run on HPC (high-performance computing) clusters.
For details on usage or maintenance please contact Dr. Attila Kákay at [email protected]
This package also include the mode movie program, that can be used to recover the spatial profiles of the magnetization dynamics with a given frequency, obtained with the power spectrum computation. modemovie -h shows a help on the usage. When running the program, will ask for the frequency index that is stored in the spectrum (text file) computed by the mumax3-pwsp, and for the number of periods and number of frames in a period, for the output files that can be used to created a movie of the magnetization dynamics.
For further help and details look the source code or contact Dr. Attila Kákay at [email protected]
Data: Unfolding of the e+e− → π+π−γ(γ) invariant mass spectrum using Simulation-based Inference on KLOE08 data
No full textAdditional Material for the Master Thesi
Patch-MLP and simulation
No full textThere are four files in total:
one for reading the previously uploaded PHELIX data (read.ipynb),
one for the saved model (best_val_model_patchmlp_20250704_113816.pt),
one for the code to train the model (MLP+patch.ipynb),
and the last one for the code to apply the model prediction (MLP prediction and simulation.ipynb)
Data publication: Exchange-Biased Multiring Planar Hall Magnetoresistive Sensors With Nanotesla Resolution in Nonshielded Environments
No full textThis entry includes the data presented in the publication "Exchange-Biased Multiring Planar Hall Magnetoresistive Sensors With Nanotesla Resolution in Nonshielded Environments
Data: High-Performance Silicon Nanowire Reconfigurable Field Effect Transistors Using Flash Lamp Annealing
No full textTop-down fabrication of Reconfigurable field effect transistors (RFET) is a prerequisite for large-scale integration. Silicon (Si) nanowire-based RFET devices have been extensively studied in the past decade. To achieve superior RFET performance, it is necessary to develop scalable devices with controlled silicidation of the channels, a high on-off ratio, and symmetrical p- and n- on-currents. In this work, we present the electrical performance of scalable RFET devices based on Si nanowires, featuring controlled silicide lengths attained through millisecond-range flash lamp annealing (FLA). The electronic properties of the transistors are optimized by tuning the different gate schemes and gate dielectric materials for nanowire passivation. We explore the gate capacitive control on the energy bands in the conduction of charge carriers using various dielectric materials. The transfer characteristics of a single top-gated device with SiO2 as gate dielectric show enhanced ambipolar behavior with negligible hysteresis, low subthreshold swing values of 210 mV/dec, and an on-off ratio (ION/IOFF) of up to ∼ 10^8 (8 orders of magnitude). The devices also demonstrate excellent electron and hole symmetry values with a record pn on-current symmetry of 1.03. Utilizing high-performance, scalable RFET devices with elevated symmetrical on-currents holds great promise for reducing delay and power consumption in future energy-efficient integrated circuitry
Data publication for "Feasibility of Na-Zn batteries for grid-scale energy storage: insights from in situ studies"
No full textThis dataset contains unprocessed results from the X-ray radiography imaging of high temperature molten salt Na-Zn battery.
The folders are structured as follows:
- 01 to 03 correspond to radiography results,
- 04 corresponds to comparison of long-term cycling of two different batteries.
01 to 03 has subfolder structure as follows:
- 01 has the raw files in 16bit tiff format,
- 02 has unprocessed png files with fixed contrast and overlay of cycling data for each time step,
- 03 is an mp4 video of png files made with ffmpeg,
- 04 is the recorded cycling data.
The raw data has the Date and time as title.
There is 167 second offset between radiographs and electrochemical data (one has to add the offset time to join both data sets).
Cycling data has been exported as .txt from EC-Lab V11.61 with following variables:
*time/s* *Ewe/V* *I/mA* *(Q-Q0)/mA.h* *cycle number* *mode* *ox/red*
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 963599
Exploring Morphology of Thermoplasmonic Nanoparticles to Synergize Immunotherapeutic FAP-positive Cells Sensitization and Photothermal Therapy
No full textThe 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