NSWC Crane is interested in funding research on developing 3-D models of component lifetime predictions incorporating finite element analysis, fatigue analysis, and deep learning methods. These...more
NSWC Crane is interested in funding research to inform future science and technology investments via data mapping and information visualization techniques. Specifically, advancements beyond...more
NSWC Crane is interested in the research and development of advanced microelectronics screening techniques for counterfeit detection. In particular, research using mass spectrometry for forensic...more
NSWC Crane is interested in funding research where computer vision techniques are used to miniaturize 3D imaging by using depth inference from defocus and fusing the data with other image depth...more
NSWC Crane is interested in funding research of advanced 3D scene reconstruction techniques using imagery taken from currently fielded dynamic (moving) platforms. This proposed research is to assess...more
Though the mechanisms for the observed time dependence in nuclear decay parameters are not well understood, the importance of this work is twofold: 1.) the ability to account for noise sources...more
The Republic of Rwanda has been picked as one of the six African countries as beneficiaries for a new fellowship fund program designed at supporting social entrepreneurs in tackling issues on food security.