833 citations · 958 across the 5 of their papers we have counts for
5 papers
Optimization and Supervised Machine Learning Methods for Fitting Numerical Physics Models without Derivatives
Raghu Bollapragada, Matt Menickelly, Witold Nazarewicz +3
We address the calibration of a computationally expensive nuclear physics model for which derivative information with respect to the fit parameters is not readily available. Of par…
Calibration of Energy Density Functionals with Deformed Nuclei
N. Schunck, J. O'Neal, M. Grosskopf +2
Nuclear density functional theory is the prevalent theoretical framework for accurately describing nuclear properties at the scale of the entire chart of nuclides. Given an energy…
Disorder induced power-law gaps in an insulator-metal Mott transition
Zhenyu Wang, Yoshinori Okada, Jared O'Neal +11
A correlated material in the vicinity of an insulator-metal transition (IMT) exhibits rich phenomenology and variety of interesting phases. A common avenue to induce IMTs in Mott i…
Surface Geometric and Electronic Structure of BaFe2As2(001)
V. B. Nascimento, Ang Li, Dilushan R. Jayasundara +15
BaFe2As2 exhibits properties characteristic of the parent compounds of the newly discovered iron (Fe)-based high-TC superconductors. By combining the real space imaging of scanning…
Discovery of microscopic electronic inhomogeneity in the high-Tc superconductor Bi2Sr2CaCu2O8+x
S. H. Pan, J. P. ONeal, R. L. Badzey +11
The parent compounds of the copper oxide high-Tc superconductors are unusual insulators. Superconductivity arises when they are properly doped away from stoichiometry1. In Bi2Sr2Ca…