8 citations · 15 across the 5 of their papers we have counts for
5 papers
Machine-Learning Driven Load Shedding to Mitigate Instability Attacks in Power Grids
Justin Tackett, Benjamin Francis, Luis Garcia +2
Critical infrastructures are becoming increasingly complex as our society becomes increasingly dependent on them. This complexity opens the door to new possibilities for attacks an…
An information-matching approach to optimal experimental design and active learning
Yonatan Kurniawan, Tracianne B. Neilsen, Benjamin L. Francis +7
The efficacy of mathematical models heavily depends on the quality of the training data, yet collecting sufficient data is often expensive and challenging. Many modeling applicatio…
ZrNb(CO) RF superconducting thin film with high critical temperature in the theoretical limit
Zeming Sun, Thomas Oseroff, Zhaslan Baraissov +11
Superconducting radio-frequency (SRF) resonators are critical components for particle accelerator applications, such as free-electron lasers, and for emerging technologies in quant…
Theory of Nb-Zr Alloy Superconductivity and First Experimental Demonstration for Superconducting Radio-Frequency Cavity Applications
Nathan S. Sitaraman, Zeming Sun, Ben Francis +8
Niobium-zirconium (Nb-Zr) alloy is an old superconductor that is a promising new candidate for superconducting radio-frequency (SRF) cavity applications. Using density-functional a…
Unwinding the model manifold: choosing similarity measures to remove local minima in sloppy dynamical systems
Benjamin L. Francis, Mark K. Transtrum
In this paper, we consider the problem of parameter sensitivity in models of complex dynamical systems through the lens of information geometry. We calculate the sensitivity of mod…