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Mathematics & Statistics

Uncertainty quantification

News and Updates

origami

Making the DNA Melt Curve More Accurate

DNA is not only the blueprint of life; it has become the backbone for making tiny structures that can be inserted into the human body to diagnose and treat

Projects and Programs

Scanning Droplet Cell Infographic

Autonomous Materials Science

Ongoing
We use autonomous experimentation (the merger of automated synthesis, characterization, AI-driven decision-making) to elucidate the role of composition

Sensing and Imaging of concealed objects

Ongoing
Emergency response, law enforcement and military personnel must face threats and dangerous situations as part of their jobs. These threats can vary from knives

Publications

Leveraging Theory for Enhanced Machine Learning

Author(s)
Debra Audus, Austin McDannald, Brian DeCost
The application of machine learning to the materials domain has traditionally struggled with two major challenges: a lack of large, curated data sets and the

Errors-in-variables calibration with dark uncertainty

Author(s)
Christina Cecelski, Blaza Toman, Fong-Ha Liu, Juris Meija, Antonio Possolo
A model for errors-in-variables regression is described that can be used to overcome the challenge posed by mutually inconsistent calibration data. The model

Software

Tools and Instruments

Reference Ballistic Chronograph Figure 1

Reference Ballistic Chronograph

The NIST-developed reference ballistic chronograph (RBC) provides repeatable measurements of the speed of a bullet that will impact a test article, such as