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reproducible-science

Provide ideas, instructions and templates on how to realize reproducible science. https://bamresearch.github.io/Reproducible-Science/

rl_logging

RobotLibraries Logging Abstraction

ros2_tools

Tools for the Robot Operating System 2 (ROS 2)

roughness-analysis-by-electron-microscopy

Roughness analysis approach by electron microscopy for spherical microparticles

round-robin-hybrid-mixtures

scaffoldstructures

Create different scaffolds based on triply periodic minimal structures like Gyroids or SchwarzP cells

scicat-localdeploy

SciCat Data Catalog Kubernetes Deployment - Install scripts setting up SciCat on a single server using minikube or in baremetal k8s cluster

scicat-upload

scicat ingestion/upload scripting for uploading meta data into the database

sequentiallearningapp

Sequential Learning App for Materials Discovery (SLAMD)

slamd_doku

sponge

Simulates X-ray and Neutron scattering patterns from arbitrary shapes defined by STL files

srgdm

Super-Resolution for Gas Distribution Mapping

syfos

tga-ftir-hyphenation-tool-kit

Analysis of hyphenated TGA and FTIR data in Jupyter Notebooks: quantitative evolved gases analysis, release rate deconvolution, easy to adapt for different devices.

topas-cellmodels

Cell Models for TOPAS/Geant4 and the inclusion of nano particles in particle scattering simulations. The C++ classes in this repository extend the functionality of the TOPAS (http://www.topasmc.org/) MC program, which is itself a wrapper of the Geant4 MCS Toolkit (http://geant4.org).

topas-nbio

TOPAS-nBio extension repository, for documentation and license see: https://topas-nbio.readthedocs.io/

ultimaratio

A high resolution 3D FFT package (primarily for X-ray scattering simulation)

vmap4fenics

VMAP Wrapper for Fenics FEM Simulations

wavenumberanalysis

This project allows to perform wavenumber mapping using Matlab.

webslamd

Sequential Learning App for Materials Discovery ("SLAMD") - Web Version

yapy-cookiecutter

Yet Another cookiecutter template for Python projects in data science & processing