Filters

Settings

Now showing1 - 10 of 28
  • Some of the metrics are blocked by your 
    consent settings
    Item type:Research Data, Access status: without files ,
    In-silico Lagrangian sensor tracking in a stirred tank reactor: filtering code
    (2026-06-10)
    Rathi, Vamika
    This repository contains the code used for tracking in-silico Lagrangian sensors governed by the Maxey–Riley–Gatignol equations, as presented in the paper (preprint): Rathi, Sehar, Sommer, Götschel, Stuewe, von Kameke, Ruprecht, "Tracking in-silico Lagrangian sensors in a lab-scale stirred tank reactor", preprint, tba. The repository includes: filtering algorithms and scripts file for interpolation objects for experimental velocity field the Maxey–Riley–Gatignol forward dynamics with analytic Jacobians analytical and experimental velocity-field providers utilities for measurements, noise and plotting a central .json configuration file for all particle, fluid, and filter parameters tracking results and figures Using this code, it is possible to reproduce all results discussed in the paper.
    Data Type: Source Code
      48
  • Some of the metrics are blocked by your 
    consent settings
    Item type:Research Data, Access status: with files ,
    Dataset on Hydrogel Particles Under Uniaxial Compression: Experiments and Tetrapod-Based DEM Modeling
    (2026-05-12)
    Gibowsky, Lara
    This data repository provides experimental datasets for biopolymer-based hydrogel particles under uniaxial compression, including monotonic and cyclic loading as well as stress-relaxation tests across multiple compression rates. It also includes the corresponding tetrapod-based discrete element method (DEM) simulations, along with simulation outputs and calibrated parameters, enabling direct experiment–simulation comparison. This upload contains all information required to reproduce the experimental analysis and DEM simulations reported in the related paper (DOI: ???). The accompanying README describes the file structure and documents the research context, methods, and measured variables in detail.
    Data Type: Experimental Data ; Data Type: Measurement and Test Data ; Data Type: Video ; Data Type: Source Code
      106  99
  • Some of the metrics are blocked by your 
    consent settings
    Item type:Research Data, Access status: without files ,
    Numerical Methods for the Maxey-Riley-Gatignol Equations
    (2026-04-08)
    Sommer, Finn
    First release of a trajectory generation framework for training universal differential equations (UDEs) to approximate the Basset (history) force in the Maxey–Riley–Gatignol equations. This repository provides trajectory generation based on the full Maxey–Riley–Gatignol equations for two types of fluid fields: a synthetic vortex field and an experimental field derived from interpolated measurement data. The interpolation routines are included as part of the codebase. The implementation is available in both Python and Julia. This repository contains the software accompanying the preprint: Sommer, Rathi, Götschel, Ruprecht, “Approximation of the Basset force in the Maxey–Riley–Gatignol equations via universal differential equations”, preprint, tba.
    Data Type: Source Code
      25
  • Some of the metrics are blocked by your 
    consent settings
    Item type:Research Data, Access status: without files ,
    Marge3D Solver
    (2026-05-29)
    Rathi, Vamika
    ;
    Lunet, Thibaut
    Solver for the Maxey-Riley-Gatignol Equations (MaRGE) in 3D
    Data Type: Software
      31
  • Some of the metrics are blocked by your 
    consent settings
    Item type:Research Data, Access status: with files ,
    Python code for: Modeling and Optimization of Complex Enzymatic Reactions: A Practical Guide for Biotechnologists and Bioprocess Engineers
    (2026-06-18)
    Paschalidis, Leandros
    ;
    Tillmann, Märthe Theresa
    The Python codes accompanying the publication 'Modeling and Optimization of Complex Enzymatic Reactions: A Practical Guide for Biotechnologists and Bioprocess Engineers' are provided in this repository. The codes are used to solve the application example within the tutorial.
    Data Type: Software
      67  77
  • Some of the metrics are blocked by your 
    consent settings
    Item type:Research Data, Access status: with files ,
    Data Supplement to the Article: "Structuring of electrorheological fluids in polymer matrices for miniature actuators"
    (2025-04-09)
    Ihrens, Jana
    In this upload, all required information for the experimental analysis in the related paper (DOI: 10.1016/j.heliyon.2024.e39138) is included.
    Data Type: Compiled Data
      64  151
  • Some of the metrics are blocked by your 
    consent settings
    Item type:Research Data, Access status: with files ,
    Data for "Millimeter-Scale Lagrangian Sensor Spheres for Local State Monitoring in SMART Reactors: Towards Energy-Autonomous Operation"
    (2026-07-09)
    Geläschus, Anton Ulrich
    ;
    Rennpferdt, Lukas
    ;
    Rathi, Vamika
    ;
    Hussain, Muhammad Daniyal
    ;
    Ruprecht, Daniel
    This dataset contains the underlying measurement data and Python-based analysis scripts supporting the publication “Millimeter-Scale Lagrangian Sensor Spheres for Local State Monitoring in SMART Reactors: Towards Energy-Autonomous Operation”. It includes raw and intermediate data for selected quantitative evaluations, such as power consumption, transmission behavior, energy harvesting, and trajectory-related analysis. The dataset is intended to support traceability and practical reuse of the reported evaluation workflows. Manuscript text and final publication graphics are not the primary subject of this dataset release and should be consulted in the associated journal publication.
    Data Type: Software ; Data Type: Technical Documentation ; Data Type: Experimental Data
      61  56
  • Some of the metrics are blocked by your 
    consent settings
    Item type:Research Data, Access status: with files ,
    Dataset on Swelling Behavior and Kinetics of pNIPAM Lyogels with Varying Polymer Formulations and Solvents
    (2025-04-24)
    Eckert, Kathrin
    This dataset contains experimental data on the polymeric structure and swelling kinetics related to solvent-induced swelling of pNIPAM lyogels. The accompanying README file provides detailed descriptions of all included files and explains the research context, methodological information, and the measured variables.
    Data Type: Compiled Data
      239  851
  • Some of the metrics are blocked by your 
    consent settings
    Item type:Research Data, Access status: with files ,
    GAMS code for: Reactor network synthesis of enzymatic cascades using superstructure optimization
    (2026-06-16)
    Chandra, Swastik
    ;
    Paschalidis, Leandros
    ;
    Kinau, Siv Magdalena
    ;
    Skiborowski, Mirko
    This repository contains the GAMS optimization scripts and include files used to implement a nonlinear programming (NLP) framework for superstructure-based reactor network synthesis. The framework handles flexible network configurations combining Continuous Stirred-Tank Reactors (CSTR) and tubular Cross-Flow Reactors (CFR) without relying on binary or integer choices. The implementation includes scripts for framework validation via the classical Van de Vusse reaction network and application to a multi-enzyme cascade following the oxidative Weimberg pathway.
    Data Type: Software
      29  21
  • Some of the metrics are blocked by your 
    consent settings
    Item type:Research Data, Access status: with files ,
    Lyogel Equilibria with Helmholtz Equations of State: Source Code
    (2026-07-22)
    Jaeschke, Nanning
    This repository contains the software, model parameters, supporting data, and calculated results for the two-part study *Lyogel Equilibria with Helmholtz Equations of State*. Part I introduces a robust second-order framework for tracing phase equilibria, while Part II applies the framework to assess PC-SAFT parametrizations and network models for pNIPAM lyogels. 1. Jaeschke, N.; Smirnova, I.; Chapman, W. G. *Lyogel Equilibria with Helmholtz Equations of State. Part I: A Robust Second-Order Framework.* **Industrial & Engineering Chemistry Research** 2026. https://doi.org/10.1021/acs.iecr.6c01490 2. Jaeschke, N.; Chapman, W. G.; Smirnova, I. *Lyogel Equilibria with Helmholtz Equations of State. Part II: Assessment of PC-SAFT Parametrizations and Network Models for pNIPAM Lyogels.* **Industrial & Engineering Chemistry Research** 2026. https://doi.org/10.1021/acs.iecr.6c01731
    Data Type: Source Code
      88  31