activity
20182021
most citedQuantified Uncertainty in Thermodynamic Modeling for Materials Design

59 citations · 60 across the 5 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2021

Principles of the Battery Data Genome

Logan Ward, Susan Babinec, Eric J. Dufek +24

Electrochemical energy storage is central to modern society -- from consumer electronics to electrified transportation and the power grid. It is no longer just a convenience but a…

cs.LG2020★ 1 cited

Flame Stability Analysis of Flame Spray Pyrolysis by Artificial Intelligence

Jessica Pan, Joseph A. Libera, Noah H. Paulson +1

Flame spray pyrolysis (FSP) is a process used to synthesize nanoparticles through the combustion of an atomized precursor solution; this process has applications in catalysts, batt…

physics.comp-ph2020

Uncertainty Quantification in Atomistic Modeling of Metals and its Effect on Mesoscale and Continuum Modeling A Review

Joshua J. Gabriel, Noah H. Paulson, Thien C. Duong +4

The design of next-generation alloys through the Integrated Computational Materials Engineering (ICME) approach relies on multi-scale computer simulations to provide thermodynamic…

cond-mat.mtrl-sci2019★ 59 cited

Quantified Uncertainty in Thermodynamic Modeling for Materials Design

Noah H Paulson, Brandon J Bocklund, Richard A Otis +2

Phase fractions, compositions and energies of the stable phases as a function of macroscopic composition, temperature, and pressure (X-T-P) are the principle correlations needed fo…

cond-mat.mtrl-sci2018

Bayesian strategies for uncertainty quantification of the thermodynamic properties of materials

Noah H. Paulson, Elise Jennings, Marius Stan

Reliable models of the thermodynamic properties of materials are critical for industrially relevant applications that require a good understanding of equilibrium phase diagrams, th…