Articles with public access mandates - David S. MebaneLearn more
Not available anywhere: 1
Probabilistic Model Building with Uncertainty Quantification and Propagation for a Dynamic Fixed Bed CO2 Capture Process
A Ostace, KX Kocan, DS Mebane, JP Schmal, D Bhattacharyya
Energy & Fuels 34 (2), 2516-2532, 2019
Mandates: US Department of Energy
Available somewhere: 19
A generalised space-charge theory for extended defects in oxygen-ion conducting electrolytes: from dilute to concentrated solid solutions
DS Mebane, RA De Souza
Energy & Environmental Science 8 (10), 2935-2940, 2015
Mandates: German Research Foundation
The Mechanism of CO2 Adsorption under Dry and Humid Conditions in Mesoporous Silica-Supported Amine Sorbents
K Li, JD Kress, DS Mebane
The Journal of Physical Chemistry C 120 (41), 23683-23691, 2016
Mandates: US Department of Energy
Analyzing the grain‐boundary resistance of oxide‐ion conducting electrolytes: Poisson‐Cahn vs Poisson‐Boltzmann theories
X Tong, DS Mebane, RA De Souza
Journal of the American Ceramic Society 103 (1), 5-22, 2020
Mandates: US National Science Foundation, German Research Foundation
A space‐charge treatment of the increased concentration of reactive species at the surface of a ceria solid solution
AF Zurhelle, X Tong, A Klein, DS Mebane, RA De Souza
Angewandte Chemie 129 (46), 14708-14712, 2017
Mandates: German Research Foundation
Upscaling uncertainty with dynamic discrepancy for a multi-scale carbon capture system
KS Bhat, DS Mebane, P Mahapatra, CB Storlie
Journal of the American Statistical Association 112 (520), 1453-1467, 2017
Mandates: US Department of Energy
A Bayesian approach to electrical conductivity relaxation and isotope exchange/secondary ion mass spectrometry
J Blair, DS Mebane
Solid State Ionics 270, 47-53, 2015
Mandates: US Department of Energy
Examination of the mechanism for the reversible aging behavior at open circuit when changing the operating temperature of (La0. 8Sr0. 2) 0.95 MnO3 electrodes
H Abernathy, HO Finklea, DS Mebane, X Song, Y Chen, K Gerdes
Solid State Ionics 272, 144-154, 2015
Mandates: US Department of Energy
Kinetic model development and Bayesian uncertainty quantification for the complete reduction of Fe-based oxygen carriers with CH4, CO, and H2 for chemical looping combustion
A Ostace, YY Chen, R Parker, DS Mebane, CO Okoli, A Lee, A Tong, ...
Chemical Engineering Science 252, 117512, 2022
Mandates: US Department of Energy
Exploring DFT+U parameter space with a Bayesian calibration assisted by Markov chain Monte Carlo sampling
P Tavadze, R Boucher, G Avendaño-Franco, KX Kocan, S Singh, ...
npj Computational Materials 7 (1), 182, 2021
Mandates: US National Science Foundation, US Department of Energy
Multi-scale modeling of an amine sorbent fluidized bed adsorber with dynamic discrepancy reduced modeling
K Li, P Mahapatra, KS Bhat, DC Miller, DS Mebane
Reaction Chemistry & Engineering 2 (4), 550-560, 2017
Mandates: US Department of Energy
New data-driven interacting-defect model describing nanoscopic grain boundary compositions in ceramics
X Tong, WJ Bowman, A Mejia-Giraldo, PA Crozier, DS Mebane
The Journal of Physical Chemistry C 124 (43), 23619-23625, 2020
Mandates: US National Science Foundation
Reduced-order model for microstructure evolution prediction in the electrodes of solid oxide fuel cell with dynamic discrepancy reduced modeling
Y Lei, TL Cheng, DS Mebane, YH Wen
Journal of Power Sources 416, 37-49, 2019
Mandates: US Department of Energy
In situ surface potential evolution along Au/Gd: CeO2 electrode interfaces
J Zhu, J Wang, DS Mebane, SS Nonnenmann
APL Materials 5 (4), 2017
Mandates: US National Science Foundation
Quantitative interpretation of impedance spectroscopy data on porous LSM electrodes using X-ray computed tomography and Bayesian model-based analysis
GF Brunello, WK Epting, J de Silva, PA Salvador, S Litster, HO Finklea, ...
Physical Chemistry Chemical Physics 19 (37), 25334-25345, 2017
Mandates: US Department of Energy
Evaluation and demonstration of commercialization potential of CCSI tools within gPROMS advanced simulation platform
A Lawal, P Schmal, A Ramos, A Cano, D Bhattacharyya, D Mebane, ...
Process Systems Enterprise Inc., Cedar Knolls, NJ (United States), 2017
Mandates: US Department of Energy
A Multiple Model Predictive Control Approach Based on Dynamic Discrepancy Reduced Order Modeling
S Dinh, FV Lima
AIChE Annual Meeting, 2020
Mandates: US National Science Foundation
Reduced-order model for microstructure evolution simulation in solid oxide fuel cell with dynamic discrepancy reduced modeling
Y Lei, T Cheng, Y Wen, D Mebane
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV …, 2018
Mandates: US Department of Energy
In situ surface potential evolution along Au/Gd: CeO
J Zhu, J Wang, DS Mebane, SS Nonnenmann
Mandates: US National Science Foundation
Integration of high-fidelity CO2 sorbent models at the process scale using dynamic discrepancy
J Kress, K Li, D Mebane, P Mahapatra, S Bhat
Mandates: US Department of Energy
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