The spirit for Thrust Area 1 is collaborative intelligence, where humans and machines are joining forces to enable solutions to the NNSA’s problems of tomorrow. One of the pressing needs to address is a new era in additive manufacturing (AD) which has grown out a lab environment into a wide-spread use. While it is not an official field of its own, AD has gone through a number of breakthroughs to enable dramatic gains in speed, efficiency and cost. Specifically, in nuclear proliferation activities, AD may offer automated development of weapon complex components, technologies for micro-manufacturing and electronics-embedded circuitry. Moreover, automation, efficiency and scalability may enable fast and effective manufacturing of micro-reactors for potential production of special nuclear materials and energetic materials.
Thrust Area Lead – Paul Wilson, University of Wisconsin
Universities – U. Wisconsin, U. Michigan, Duke, MIT, TAMU, Georgia Tech, WSU, U. Hawaii
National Laboratories – ANL, LLNL, LANL, ORNL, PNNL
Project 1 – Framework for rapid evaluation of novel algorithms and data streams
Project 2 – Fundamental advances in data science algorithms
Project 3 – Machine-guided learning and data collection
Project 4 – Incorporation of ad-hoc data streams
The purpose of this repository is to serve as a resource for researchers looking for data or tools that may be useful for their research efforts (e.g., a researcher needs open-source satellite data to train some machine learning model, or perhaps they are looking for a tool that manages/manipulates gamma spectra).