6 citations · 7 across the 4 of their papers we have counts for
7 papers
Improving Baseline Subtraction for Increased Sensitivity of Quantitative PCR Measurements
Paul N. Patrone, Anthony J. Kearsley, Erica L. Romsos +1
Motivated by the current COVID-19 health-crisis, we examine the task of baseline subtraction for quantitative polymerase chain-reaction (qPCR) measurements. In particular, we prese…
Towards a priori uncertainty quantification in coarse-grained molecular dynamics: Generalized multipole potentials
Paul N. Patrone, Andrew M. Dienstfrey, Geoffrey B. McFadden
In computational materials science, coarse-graining approaches often lack a priori uncertainty quantification (UQ) tools that estimate the accuracy of a reduced-order model before…
Uncertainty Quantification for Molecular Dynamics
Paul N. Patrone, Andrew Dienstfrey
The goals of this chapter are twofold. First, we wish to introduce molecular dynamics (MD) and uncertainty quantification (UQ) in a common setting in order to demonstrate how the l…
The Role of Data Analysis in Uncertainty Quantification: Case Studies for Materials Modeling
Paul N. Patrone, Anthony J. Kearsley, Andrew M. Dienstfrey
In computational materials science, mechanical properties are typically extracted from simulations by means of analysis routines that seek to mimic their experimental counterparts.…
Towards a high-supersaturation theory of crystal growth: Nonlinear one-step flow model in 1+1 dimensions
Joshua P. Schneider, Paul N. Patrone, Dionisios Margetis
Starting with a many-atom master equation of a kinetic, restricted solid-on-solid (KRSOS) model with external material deposition, we investigate nonlinear aspects of the passage t…
Estimation and Uncertainty Quantification of Yield Via Strain Recovery Simulations
Paul N. Patrone
In computational materials science, predicting the yield strain of crosslinked polymers remains a challenging task. A common approach is to identify yield via the first critical po…