Bayesian strategies for uncertainty quantification of the thermodynamic properties of materials von Paulson, Noah H., Jennings, Elise, Stan, Marius

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Comparison of statistically-based methods for automated weighting of experimental data in CALPHAD-type assessment von Paulson, Noah H., Zomorodpoosh, Setareh, Roslyakova, Irina, Stan, Marius

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Flame spray pyrolysis optimization via statistics and machine learning von Paulson, Noah H., Libera, Joseph A., Stan, Marius

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Quantified uncertainty in thermodynamic modeling for materials design von Paulson, Noah H., Bocklund, Brandon J., Otis, Richard A., Liu, Zi-Kui, Stan, Marius

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Thermodynamics of monoclinic and tetragonal hafnium dioxide (HfO2) at ambient pressure von Low, John J., Paulson, Noah H., D'Mello, Michael, Stan, Marius

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Flame stability analysis of flame spray pyrolysis by artificial intelligence von Pan, Jessica, Libera, Joseph A., Paulson, Noah H., Stan, Marius

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Reduced-order microstructure-sensitive protocols to rank-order the transition fatigue resistance of polycrystalline microstructures von Paulson, Noah H., Priddy, Matthew W., McDowell, David L., Kalidindi, Surya R.

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Strategies for rapid parametric assessment of microstructure-sensitive fatigue for HCP polycrystals von Priddy, Matthew W., Paulson, Noah H., Kalidindi, Surya R., McDowell, David L.

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Uncertainty quantification and propagation in CALPHAD modeling von Honarmandi, Pejman, Paulson, Noah H, Arróyave, Raymundo, Stan, Marius

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Intelligent Agents for the Optimization of Atomic Layer Deposition von Paulson, Noah H, Yanguas-Gil, Angel, Abuomar, Osama Y, Elam, Jeffrey W

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An efficient approximation of the supercell approach to the calculation of the full phonon spectrum von Duong, Thien C., Paulson, Noah H., Stan, Marius, Chaudhuri, Santanu

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Uncertainty Quantification in Atomistic Modeling of Metals and Its Effect on Mesoscale and Continuum Modeling: A Review von Gabriel, Joshua J., Paulson, Noah H., Duong, Thien C., Tavazza, Francesca, Becker, Chandler A., Chaudhuri, Santanu, Stan, Marius

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Feature engineering for machine learning enabled early prediction of battery lifetime von Paulson, Noah H., Kubal, Joseph, Ward, Logan, Saxena, Saurabh, Lu, Wenquan, Babinec, Susan J.

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Reduced-order structure-property linkages for polycrystalline microstructures based on 2-point statistics von Paulson, Noah H., Priddy, Matthew W., McDowell, David L., Kalidindi, Surya R.

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Data-driven reduced-order models for rank-ordering the high cycle fatigue performance of polycrystalline microstructures von Paulson, Noah H., Priddy, Matthew W., McDowell, David L., Kalidindi, Surya R.

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Correlations between thermal history and keyhole porosity in laser powder bed fusion von Paulson, Noah H., Gould, Benjamin, Wolff, Sarah J., Stan, Marius, Greco, Aaron C.

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Insights from Computational Studies on the Anisotropic Volume Change of LixNiO2 at High States of Charge (x 0.25) von Garcia, Juan C., Gabriel, Joshua, Paulson, Noah H., Low, John, Stan, Marius, Iddir, Hakim

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Insights from Computational Studies on the Anisotropic Volume Change of Li x NiO 2 at High States of Charge ( x < 0.25) von Garcia, Juan C., Gabriel, Joshua, Paulson, Noah H., Low, John, Stan, Marius, Iddir, Hakim

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Multivariate prognosis of battery advanced state of health via transformers von Paulson, Noah H., Kubal, Joseph, Babinec, Susan J.

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Intelligent Agents for the Optimization of Atomic Layer Deposition von Paulson, Noah H., Yanguas-Gil, Angel, Abuomar, Osama Y., Elam, Jeffrey W.

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