The project has made significant strides in advancing materials characterisation by developing new methods, tools, and standards that enhance data quality, experimental reliability, and industrial applications. A major achievement is the creation of CHAMEO, a standardized framework for documenting and integrating characterisation workflows, which ensures data is easily accessible and reusable. The adoption of BPMN 2.0 for process documentation further improves communication across sectors.
Advanced techniques, including high-speed automated nanoindentation and the i-CHADA approach, were developed for reliable mechanical data interpretation. Machine learning models now assist in analyzing nanomechanical properties, while improved methods for measuring residual stress in materials, such as through Raman spectroscopy and nanoindentation, provide new insights into materials like α-Quartz. Innovations in strain analysis combine tensile testing, electron microscopy, and diffraction methods to better understand the impact of manufacturing processes like 3D printing on material performance.
The project has also contributed to international standardisation efforts, ensuring harmonization of characterisation methods across industries. Workshops, collaborations, and open-access resources, including ontologies and best-practice guidelines, have promoted better data management. By integrating experimental techniques with digital tools and AI, the project has significantly improved materials testing, accelerating innovation across industries and reinforcing Europe’s leadership in advanced materials characterisation.