Technology Convergence Report 2025

Materials informatics By merging computational simulation with experimental insights, this modelling approach creates dynamic models that continuously learn and evolve as they incorporate new data. Unlike traditional methods that rely heavily on physical trial-and-error, adaptive modelling enables scientists to explore virtual-material combinations and structures before synthesizing them in a laboratory. The power of this approach lies in its ability to accelerate innovation cycles – what once took years of incremental testing can now be accomplished in months through predictive algorithms that identify promising candidates with specific properties. This convergence of disciplines enables researchers to simulate material behaviours across multiple scales simultaneously, from quantum interactions at the atomic level to macroscopic mechanical properties, creating a comprehensive understanding that bridges theoretical and practical applications.Aerospace manufacturers use these technologies to design lightweight composites with enhanced thermal resistance and structural integrity, significantly reducing development cycles while improving safety margins. Energy storage solutions have evolved through models that predict electrolyte stability and ionic conductivity, leading to batteries with higher capacity and extended operational lifespans. In healthcare, adaptive modelling has revolutionized biomaterials development, creating substances with precisely controlled degradation rates for tissue engineering and drug delivery systems. Beyond accelerating innovation, this approach substantially improves sustainability by minimizing material waste during the development process – virtual testing replaces countless physical prototypes, reducing environmental impact while maximizing resource efficiency. 3 2 1 3 3 2 2Materials informaticsTransformers Graph neural networksMultifunctional and hybrid materials Predictive modellingEnergy-efficient materials Spatial reasoning algorithmsSmart materialsTechnology domain Advanced materials Artificial intelligence Spatial intelligence Maturity level 3 Product4 Commodity 1 Genesis2 Custom-builtN Industry Company Outcomes Advanced manufacturingHexagon3D material modelling brings operational efficiency, reduces costs and improves decision-making by providing real- time data. Chemistry industryKebotixA platform-as-a-service for predictive modelling accelerates material discovery, reduce R&D costs, optimize material properties and drive sustainable innovation. Technology Convergence Report 40