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Poster

WEB HMC hub matter for as a resource for materials research in the German research landscape

Wednesday (01.07.2020)
07:45 - 07:45 Poster Room
Part of:
Line-Up:
- Poster *web*Simulation of Spinning Processes with Experimental Validation 1 Stefan Hermanns
- Poster *web*Screening Solubility-Enhancing Coformers in Amorphous Solid Dispersions: a Group Contribution based Miscibility Method 1 Milad Asgarpour Khansary
- Poster *web*Thermal emission of colloid-based plasmonic structures for radiative cooling 1 Kishin Matsumori
- Poster *web*Free energies of segregation: thermodynamic integration at grain boundaries using pyiron 1 Dr. Liam Huber
- Poster *web*Effective mobility of BCC dislocations in two-dimensional discrete dislocation plasticity 1 Tarun Katiyar
- Poster TBA -
- Poster *web*Computer Aided Reliability by additive manufacturing of components with locally varied properties 1 Dr. Iliya Radulov
- Poster *web*Numerical Study of Solidification in Metallic Droplet 1 Dandan Yao
- Poster TBA -
- Poster TBA -
- Poster TBA -
- Poster TBA -
- Poster *web*Thermodynamic assessment and modelling of interactions in liquid Ni alloys/oxide systems 1 Saverio Sitzia
- Poster *web*The limiting effect of interfacial band alignment on efficiency of earth-abundant chalcogenide photovoltaic materials 1 Dr. Elaheh Ghorbani
- Poster *web*HMC hub matter for as a resource for materials research in the German research landscape 1 Dr. Oonagh Mannix
- Poster *web*Nanoindentation of Al: Molecular dynamics simulations and dislocation dynamics simulations 1 Sa-Ly Dang
- Poster *web*Rational Design of Metal Anchored Carbon Quantum Dots as Optimal Efficient Electrocatalysts for Hydrogen production Using Machine Learning and High-throughput Experimentation 1 Yujin Chae
- Poster *web*Correlating Raman Spectra of Ibuprofen, Nicotinamide and Their Dimers 1 Milad Asgarpour Khansary
- Poster *web*High Throughput Screening for Electrochemical Nitrogen Reduction for the Ammonia Synthesis via Machine Learning 1 JaeHyoung Lim
- Poster Thermodynamic investigation of oxidation behavior of NiAl intermetallics with embedded Cr and Mo 1 Golnar Geramifard

Session -M: Modelling, Simulation, and Data
Belongs to:
Topic X: Poster Session


The Helmholtz Metadata Collaboration (HMC)[1] is a new initiative, by the Helmholtz Association, to promote the qualitative enrichment of research data by means of metadata. Metadata are essential, standardised information about research data. Good metadata are essential for data to be considered FAIR (findable, accessible, interoperable and reusable)[2]. To provide discipline-specific support the HMC is divided into hubs.


Hub matter is concerned with metadata linked to the Helmholtz research field matter. This includes materials science and engineering, with a special interest in research carried out at large-scale facilities (e.g. synchrotrons, neutron facilities, other accelerators). The hub aims to develop general strategies for research data over its entire lifecycle – from initial sample preparation through to publication. To ensure relevance the hub will develop and implement these strategies in partnership with scientists.


As such we are looking for input from interested scientists, particularly those in the Helmholtz community, or German research landscape. We are very interested in finding collaborators to help establish technical workflows and work towards interoperability in materials science.


One way of working towards interoperability is to ensure data and metadata format standardisation. In the large-scale facility community NeXus[3] is a common standard and one we are interested in supporting. This would mean that datasets from different large-scale facilities can be treated the same way enabling the establishment of common infrastructures for data analysis, data sharing and support activities e.g. in the EOSC (European open science cloud)[4]. Such standardisation is the first step in creating discipline specific repositories for experimental materials science, such as NOMAD[5] does for computational materials science.


[1] www.helmholtz.de/forschung/information-data-science/helmholtz-metadata-collaboration-plattform-hmc/

[2] www.force11.org/group/fairgroup/fairprinciples

[3] www.nexusformat.org

[4] www.eosc-portal.eu

[5] nomad-coe.eu

Speaker:
Dr. Oonagh Mannix
Helmholtz-Zentrum Berlin für Materialien und Energie
Additional Authors:
  • Heike Görzig
    Helmholtz-Zentrum Berlin für Materialien und Energie
  • Rolf Krahl
    Helmholtz-Zentrum Berlin für Materialien und Energie