Ab initio Description of Iron and Steel (ADIS2026) - Defect phase diagrams enabled by modern experimental, computational and AI technologies 

Ab initio Description of Iron and Steel (ADIS2026) - Defect phase diagrams enabled by modern experimental, computational and AI technologies
 

On-site workshop, 14 - 18 Dec 2026, Ringberg castle

October 29, 2023

Defect phase diagrams represent a transformative advancement in materials science, linking traditional thermodynamic phase descriptions with the precise control of crystal defects to engineer materials with tailored microstructures and properties. This workshop explores the theoretical underpinnings of defect phase diagrams, integrating thermodynamic principles with the behavior of point defects, grain boundaries, dislocations, and surfaces. Cutting-edge experimental techniques—such as aberration-corrected TEM and atom probe tomography—enable unprecedented observation of defect phases at the atomic scale, while computational approaches like ab initio simulations and statistical modeling facilitate their systematic prediction and analysis. By providing quantitative descriptors of local structure and chemistry, defect phase diagrams open new pathways for sustainable materials design, supporting the development of impurity-tolerant alloys essential for a circular economy. The workshop will highlight emerging design paradigms that leverage defect engineering to achieve superior performance and resilience in next-generation materials.

Organizers

Group Computational Phase Studies &
BAM Federal Institute for Materials Research and Testing
Head of Electrochemistry and Corrosion group
Mechanical Engineering, University of Michigan

Funding

The workshop is supported by


SFB1394 is a German Research Foundation (DFG) Collaborative Research Center dedicated to advancing the fundamental understanding and application of defect phase diagrams in materials science. By integrating thermodynamics, advanced characterization, and computational modeling, the center pioneers the systematic design of materials with tailored defect structures for enhanced performance and sustainability. 
To implement a material-specific data space, the NFDI-MatWerk aims to reduce technological barriers in MSE by developing generic software tools and an overarching data and information infrastructure. Among other aspects,  this will enable individual scientists to share tools and modularized workflows simultaneously for experimental, theoretical, and data-driven materials science.

 

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