no code implementations • 26 Mar 2024 • Shijie Zhong, Wanggang Shen, Tommie Catanach, Xun Huan
We present a computational framework of predictive goal-oriented OED (GO-OED) suitable for nonlinear observation and prediction models, which seeks the experimental design providing the greatest EIG on the QoIs.
no code implementations • 20 Apr 2023 • Daniel Hothem, Kevin Young, Tommie Catanach, Timothy Proctor
We explore how to define the capability function, and we explain how data for training neural networks can be efficiently obtained for a capability function defined using process fidelity.