GOALI: Computational Design, Rapid Processing and Characterization of Multiclass Materials from Ti-B-X Platform
Breakthrough technologies and innovative applications are often enabled by new materials science; however, the timeline from concept to commerce, based on past approaches, has been too long. Recent advances in computational modeling science and material manufacturing techniques provide new avenues for discovering, designing and commercializing new materials at a greatly accelerated pace. This research award supports fundamental research to enable such discoveries in multiple material classes. The basic approach is the generation of fundamental materials data regarding the relationship between chemical composition and mechanical behavior, using a technologically important material system, titanium-boron, as a basis. A mechanical property database for each class of materials will be launched, whereby the data on borides (e.g., hardness, modulus and strength of phases as functions of composition) and other properties will be disseminated. The GOALI component includes student-driven Research-in-Industry, Industry-in-Academia, and timely evaluations by an Industry Advisory Panel formed to support this research.