Existing procedures in warhead design are laborious and expensive, which limit the ability to fully explore all potentially viable solutions. This webinar will discuss the use of data science and machine learning (ML)-enabled terminal effects optimizations to reduce the complicating factor of the fast-paced nature of research and development programs requiring equally fast-paced conceptualization and assessment of warhead design. It will cover utilization methods to take advantage of leveraging the exponential growth in data science, ML, distributed computing, and computational optimization to develop and assess modern warhead designs.