C04

Project C04 focuses on creating large and consistent datasets for Co-based multinary oxide thin-film systems. To achieve this, combinatorial deposition of thin-film materials libraries combined with high-throughput characterization is used. Depending on the composition, spinel (AB2O4) or perovskite (ABO3) phases form, and the complexity of these libraries can be increased by systematically introducing additional elements such as Fe, V, Mn, Al, Ni, or Mo at the A- and B-sites. Their impact on electrical conductivity, microstructure, morphology, and crystallographic phases – all crucial properties for electrocatalytic applications – is analyzed. The aims of the project are to identify general trend-lines linking composition and structural properties (like phase constitution or morphology) with functional properties (like resistivity or catalytic activity) and to pinpoint the most promising materials compositions and structures for catalytic applications. To investigate the effect of crystallographic orientations, microcrystalline thin films with large grains (micrometer instead of nanometer range) are fabricated for OER measurements using SECCM. Additionally, thin films are prepared for post-processing in the form of flame-based treatment and laser treatment.

Mini Data Management Plan: Object Types in the RDMS

Scope and object hierarchy

In project C04, every Sample is a child of an Idea or Experiment Plan object, and all data objects are attached to the Sample as its children. This plan defines the object types used in the project, their file formats, and how objects of these types are linked.

Linking rules:

  • Every Sample is linked to its parent Idea or Experiment Plan object.
  • Every object of a child type is linked to exactly one parent Sample.
  • A Volume Composition object has two parents: the Sample and the EDX CSV object it was generated from.
  • Child objects are created in the order of the workflow: sample characterisation, then EDX, XRD and resistance measurements.
Each Sample belongs to a plan; all data objects hang off the Sample Idea or Experiment Plan Sample (materials library) Sample dataEDX XRD (steps 1 to 6)Resistance SubstrateSynthesisPhoto EDX RawEDX CSVVolume Composition 1 Raw ZIP (gfrm)2 Cursor (evaic)3 Integ. ZIP (raw) 4 Integ. ZIP (xy)5 Bg. subtr. ZIP (xy)6 Phase Overview CSV HTTS Resistance CSV creates 342 All data objects are children of the Sample; Volume Composition also has its EDX CSV as a second parent.
Object hierarchy: Idea or Experiment Plan → Sample → 13 data types.

Samples and synthesis

Sample. C04 fabricates thin-film samples, so-called materials libraries, which contain composition gradients. Each materials library is stored in the RDMS as an object of type Sample, linked to its parent Idea or Experiment Plan. It carries a unique numeric identifier, which is also written on the sample box.

Substrate. For each materials library, the substrate type is recorded as a linked child object of the Sample.

Synthesis. For each materials library, a child object holds the main synthesis parameters of the thin-film library.

Photo. For each materials library, a child object holds a photograph of the library.

EDX analysis

The project determines the bulk (volume) composition of the materials libraries by energy-dispersive X-ray spectroscopy (EDX). The resulting documents are uploaded as children of the Sample.

EDX Raw. Raw data in .ipj and .txt formats.

EDX CSV. Processed results as .csv, or as .txt that the RDMS post-processes automatically on upload (the substrate elements are filtered out).

Volume Composition. When an EDX CSV file is processed, the RDMS creates 342 Volume Composition objects, one per measurement area of the MDI 342 grid. Each object holds the EDX result for its area and an integer property, Measurement area, with the area number. Each Volume Composition object is linked to two parents: the Sample and the EDX CSV object that produced it.

XRD analysis

X-ray diffraction (XRD) data pass through six processing steps. Each step produces one object type, and every XRD object is linked to its Sample (materials library).

  1. XRD Raw ZIP (gfrm): ZIP archive of the raw detector frames (.gfrm).
  2. XRD Cursor (evaic): the cursor file (.evaic) used to integrate the raw frames.
  3. XRD Integ. Raw ZIP (raw): ZIP archive of the integrated, merged frames from DIFFRAC.EVA before background subtraction, as a set of .raw files.
  4. XRD Integ. Raw ZIP (xy): the same integrated, merged frames before background subtraction, as a set of .xy files.
  5. XRD Bg. subtr. Raw ZIP (xy, x_y): ZIP archive only: background-subtracted integrated files in .xy/.x_y format (header plus a set of .xy files).
  6. XRD Phase Overview CSV: CSV file only, listing the identified phases for every measurement area (columns: Index; Crystal Structure; IDs).

Resistance

HTTS Resistance CSV. CSV file with resistance data from HTTS measurements, linked to the Sample. Several CSV formats are supported; see the type documentation in the RDMS.

Type overview

AreaTypeFormatParent(s)
SamplesSamplemetadata (unique numeric ID)Idea or Experiment Plan
SamplesSubstratemetadataSample
SamplesSynthesismetadata (synthesis parameters)Sample
SamplesPhotoimageSample
EDXEDX Raw.ipj, .txtSample
EDXEDX CSV.csv, .txt (auto post-processed)Sample
EDXVolume Compositioncreated by the RDMS, 342 per EDX CSVSample + EDX CSV
XRD (step 1)XRD Raw ZIP (gfrm)ZIP of .gfrmSample
XRD (step 2)XRD Cursor (evaic).evaicSample
XRD (step 3)XRD Integ. Raw ZIP (raw)ZIP of .rawSample
XRD (step 4)XRD Integ. Raw ZIP (xy)ZIP of .xySample
XRD (step 5)XRD Bg. subtr. Raw ZIP (xy, x_y)ZIP of .xy/.x_ySample
XRD (step 6)XRD Phase Overview CSV.csvSample
ResistanceHTTS Resistance CSV.csv (several formats)Sample

Please, be aware that data in this project are updated from mdi.matinf.pro tenant (Scientific Projects / CRC 247).

ACS Combinatorial Science, 2020 (Piotrowiak)
Publication
T.H. Piotrowiak, X. Wang, L. Banko, S. Kumari, S. Sarker, A. Mehta, A. Ludwig. "High-Throughput Characterization of (FexCo1–x)3O4 Thin-Film Composition Spreads". ACS combinatorial science, 2020, 22(12), 804-812. DOI: 10.1021/acscombsci.0c00126
Advanced Engineering Materials, 2023 (Piotrowiak)
Publication
T.H. Piotrowiak, R. Zehl, E. Suhr, L. Banko, B. Kohnen, D. Rogalla, A. Ludwig. "Unusual Phase Formation in Reactively Sputter‐Deposited La-Co-O Thin‐Film Libraries". Advanced Engineering Materials, 2023, 25(3), 2201050. DOI: 10.1002/adem.202201050
Advanced Engineering Materials, 2023 (Piotrowiak, 2)
Publication
T.H. Piotrowiak, R. Zehl, E. Suhr, B. Kohnen, L. Banko, A. Ludwig. "Combinatorial Sputter Synthesis of Single‐Phase La (XYZ) O3±σ Perovskite Thin‐Film Libraries: A New Platform for Materials Discovery". Advanced Engineering Materials, 2023, 25(16), 2300437. DOI: 10.1002/adem.202300437
Small Structures, 2024 (Piotrowiak)
Publication
T.H. Piotrowiak, O.A. Krysiak, E. Suhr, J. Zhang, R. Zehl, A. Kostka, W. Schuhmann, A. Ludwig. "Sputter‐Deposited La–Co–Mn–O Nanocolumns as Stable Electrocatalyst for the Oxygen Evolution Reaction". Small Structures, 2024, 5(5), 2300415. DOI: 10.1002/sstr.202300415
arXiv, 2025 (Marx)
Publication [Link]
Patrick Marx, Shivam Shukla, Alejandro Esteban Perez Mendoza, Florian Lourens, Corina Andronescu, Alfred Ludwig. "Structural and Electrocatalytic Properties of La-Co-Ni Oxide Thin Films", arXiv:2509.12946, 2025. DOI: 10.48550/arXiv.2509.12946.
Thin Solid Films, 2026 (Marx)
Publication [Link]
Patrick Marx, Shivam Shukla, Alejandro Esteban Perez Mendoza, Florian Lourens, Corina Andronescu, Alfred Ludwig. "Structural and Electrocatalytic Properties of La-Co-Ni Oxide Thin Films", Thin Solid Films, 2026, 836, 140880. DOI: 10.1016/j.tsf.2026.140880.