The CRC aims to leverage the possibilities of compositionally complex solid solutions (CCSS) as material design platforms by establishing a combined theoretical and experimental understanding of their atomic-scale surface features, as the unique properties of CCSS are caused by the large number of diverse poly-elemental active sites across their surface. Gaining control of and the ability to design these surface atom arrangements (SAA) has the potential to overcome limitations of conventional electrocatalysts and will pave the way to multifunctional materials, with unprecedented combinations of activity and stability as well as possibilities for cascade reactions. SAA are specific arrangements of (sub)surface atoms and their chemical identities. They form in statistical abundance the surface composition of CCSS. Knowledge of SAA is essential for designing composition-structure‑activity relations for CCSS surfaces. Using materials informatics, we will integrate all data across scales and research areas, establish data-guided workflows, extract knowledge from data and organize it in knowledge graphs. Our holistic approach will be used to fulfill the vision of the CRC to control SAA on the atomic scale and across the surface and enable the design of ideal CCSS surfaces for specific applications.
| Acronym: | CRC1625 |
| Website: | https://www.ruhr-uni-bochum.de/crc1625/ |
| Contact: | Prof. Dr.-Ing. Markus Stricker, Prof. Dr.-Ing. Alfred Ludwig, Ruhr-Univerisity Bochum |
| DFG Classification: | 4.32 - Materials science 3.12-01 - Solid state and surface chemistry, material synthesis 3.12-02 - Physical chemistry of solids and surfaces, material characterization 4.43-04 - Artificial intelligence and machine learning methods |
| Material/ Methodology: | Compositionally complex solid solutions for electrocatalysis |
| Engagement: | 19 projects in 5 institutions |
NFDI-MatWerk
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 38/1 – project number 460247524.
NFDI-MatWerk
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 38/1 – project number 460247524.
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