Research & Development
Energetics Research & Development
Since its inception, ETC has been involved in a variety of research and engineering programs, ranging from understanding the shock physics of new energetic materials, to the creation of novel warhead concepts, to the development of new autonomous ground and sea surface robotics systems.
Most recently, ETC has been involved in machine learning/artificial intelligence, and how to apply those tools to the “discovery” of new energetic materials. ETC is also developing a tool that will provide awareness of global science and technology development in energetics and related technologies. Finally, within an effort supporting NSWC IHD, ETC is helping the Navy to develop and test ordnance fuzes using MEMS technologies, resulting in lighter, more reliable fuzing and fewer Unexploded Ordnance (UXO).
All of these R&D efforts are intended to help create a more robust national defense enterprise for the US.
ETC is currently supporting NSWC IHD applied research in developing ultra-high reliability munition fuzes using Micro Electromechanical Systems (MEMS). ETC is leading the effort to package and test these MEMS devices to be able to withstand several hundred times the Earth’s gravitational field, with the goal of achieving over 99% operational effectiveness. MEMS fuzes are smaller and lighter weight than conventional fuzes, making them ideal for use in high “G” environments. ETC has evaluated several packaging designs and has selected the optimum design for use in this application. ETC anticipates growth in the MEMS arena by providing fuze and ordnance subject matter expertise to NSWC IHD.
Global S&T Awareness
Emerging developments in Artificial Intelligence and Machine Learning, particularly text analysis, provide new possibilities for increasing the degree of automation in monitoring, analysis, and assessment. The benefits of such capabilities have largely been limited to data problems that are similar to those for which current tools were developed. When the data are highly technical, such as the language commonly found in science and technology literature for energetics and other technology areas, the tools are unproven and likely insufficient.
ETC provides a solution that will help elevate consumer knowledge and reduce time to new scientific discovery by providing a tool and methodology that allows users to navigate highly technical information to pull out relevant information to their application.
This Knowledge Awareness is achieved through:
Automating taxonomy identification to enable machines to ingest textual data and find, with little to no human intervention, concepts and vernacular for a technical subject area.
Automating ontology extraction to learn relationships among terms and concepts found in the taxonomy.
Fusing data from multiple sources and reduce the dimensionality of concatenated data sets.
Enabling recommender and sentiment analysis approaches to estimate significance and identify what types of information to infer and push for awareness.
Assessing data veracity by computing bias and completeness measures and create new metrics to assess the value of exploiting data adjacency.
The concept, shown below, allows a user to pull information using a query system, or notification/alert system, that will provide processed data from two main ways: curator provided information and automated global knowledge ingestion. ETC is working with the academic community to solve the data analysis problems to deliver accurate policy-based knowledge to the user to accelerate science and technology discovery in a world where the quantity of data is quickly becoming too vast for any one mind to decipher.