Machine Learning Models for Predictive Engineering and Optimization of Biomining Essential Resources

The Defense Threat Reduction Agency (DTRA) is seeking innovative solutions through the Small Business Innovation Research (SBIR) program to develop machine learning models for predictive engineering and optimization in biomining essential resources. The objective is to create a computational tool that leverages advances in synthetic biology and AI/ML to enhance the selective extraction and recovery of critical materials, such as structural metals and rare earth elements, which are vital for high-tech and clean-energy sectors. This initiative is particularly important as it aims to provide environmentally friendly alternatives to traditional mining methods while addressing the growing threats posed by advancements in synthetic biology and materials science in the Weapons of Mass Destruction (WMD) spectrum. Interested parties should note that the solicitation is currently closed, with the application due date having been October 23, 2024, and further details can be found at the DOD SBIR/STTR website.