Search
Now showing items 21-22 of 22
Machine learning and density functional theory assisted insights into the mechanical and oxidation properties of nickel-based superalloys
Due to global warming and increasing fuel costs, there is a constant thrust toward increasing fuel efficiency and reducing the emissions of gas-turbine engines, which are made out of superalloys. New superalloy materials, ...
Insights into Structure-Property Relationships via First Principles and Machine Learning Approaches
The increasing concerns about a sustainable future demand accelerated design and development of new materials with enhanced properties. The process of material development immensely depends on the structure-to-property ...