受强制性开放获取政策约束的文章 - Gabriel A. Terejanu了解详情
可在其他位置公开访问的文章：22 篇
Validating predictions of unobserved quantities
TA Oliver, G Terejanu, CS Simmons, RD Moser
Computer Methods in Applied Mechanics and Engineering 283, 1310-1335, 2015
强制性开放获取政策： US Department of Energy
Prediction of adsorption energies for chemical species on metal catalyst surfaces using machine learning
AJ Chowdhury, W Yang, E Walker, O Mamun, A Heyden, GA Terejanu
The Journal of Physical Chemistry C 122 (49), 28142-28150, 2018
强制性开放获取政策： US National Science Foundation, US Department of Energy
Uncertainty quantification framework applied to the water–gas shift reaction over Pt-based catalysts
E Walker, SC Ammal, GA Terejanu, A Heyden
The Journal of Physical Chemistry C 120 (19), 10328-10339, 2016
强制性开放获取政策： US National Science Foundation
Identifying active sites of the water–gas shift reaction over titania supported platinum catalysts under uncertainty
EA Walker, D Mitchell, GA Terejanu, A Heyden
ACS Catalysis 8 (5), 3990-3998, 2018
强制性开放获取政策： US National Science Foundation
A multiple filter based neural network approach to the extrapolation of adsorption energies on metal surfaces for catalysis applications
AJ Chowdhury, W Yang, KE Abdelfatah, M Zare, A Heyden, GA Terejanu
Journal of Chemical Theory and Computation 16 (2), 1105-1114, 2020
强制性开放获取政策： US National Science Foundation, US Department of Energy
Mechanism of Sulfur Poisoning of Sr2Fe1.5Mo0.5O6-δ Perovskite Anode under Solid Oxide Fuel Cell Conditions
E Walker, SC Ammal, S Suthirakun, F Chen, GA Terejanu, A Heyden
The Journal of Physical Chemistry C 118 (41), 23545-23552, 2014
强制性开放获取政策： US Department of Energy
Prediction of transition-state energies of hydrodeoxygenation reactions on transition-metal surfaces based on machine learning
K Abdelfatah, W Yang, R Vijay Solomon, B Rajbanshi, A Chowdhury, ...
The Journal of Physical Chemistry C 123 (49), 29804-29810, 2019
强制性开放获取政策： US National Science Foundation, US Department of Energy
Propane dehydrogenation on platinum catalysts: identifying the active sites through Bayesian analysis
C Fricke, B Rajbanshi, EA Walker, G Terejanu, A Heyden
ACS Catalysis 12 (4), 2487-2498, 2022
强制性开放获取政策： US National Science Foundation, US Department of Energy
Approximate computational approaches for Bayesian sensor placement in high dimensions
X Lin, A Chowdhury, X Wang, G Terejanu
Information Fusion 46, 193-205, 2019
强制性开放获取政策： US National Science Foundation
Geospatial uncertainty modeling using stacked Gaussian processes
K Abdelfatah, J Bao, G Terejanu
Environmental Modelling & Software 109, 293-305, 2018
强制性开放获取政策： US National Science Foundation, US Department of Agriculture
An approximate bayesian long short-term memory algorithm for outlier detection
C Chen, X Lin, G Terejanu
2018 24th International Conference on Pattern Recognition (ICPR), 201-206, 2018
强制性开放获取政策： US Department of Agriculture
Comparative study on the machine learning-based prediction of adsorption energies for ring and chain species on metal catalyst surfaces
AJ Chowdhury, W Yang, A Heyden, GA Terejanu
The Journal of Physical Chemistry C 125 (32), 17742-17748, 2021
强制性开放获取政策： US National Science Foundation, US Department of Energy
Approximate Bayesian neural network trained with ensemble Kalman filter
C Chen, X Lin, Y Huang, G Terejanu
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
强制性开放获取政策： US Department of Agriculture
Modeling the Effect of Surface Platinum–Tin Alloys on Propane Dehydrogenation on Platinum–Tin Catalysts
CH Fricke, OH Bamidele, M Bello, J Chowdhury, G Terejanu, A Heyden
ACS Catalysis 13 (16), 10627-10640, 2023
强制性开放获取政策： US National Science Foundation, US Department of Energy
Invariant Molecular Representations for Heterogeneous Catalysis
J Chowdhury, C Fricke, O Bamidele, M Bello, W Yang, A Heyden, ...
Journal of Chemical Information and Modeling 64 (2), 327-339, 2024
强制性开放获取政策： US National Science Foundation, US Department of Energy
From causal pairs to causal graphs
R Rashid, J Chowdhury, G Terejanu
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
强制性开放获取政策： US Department of Defense
An enhanced metropolis-hastings algorithm based on gaussian processes
A Chowdhury, G Terejanu
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2016
强制性开放获取政策： US National Science Foundation, US Department of Agriculture
Prediction and measurement update of fungal toxin geospatial uncertainty using a Stacked Gaussian process
K Abdelfatah, J Senn, N Glaeser, G Terejanu
Agricultural Systems 176, 102662, 2019
强制性开放获取政策： US Department of Agriculture
CD-NOTEARS: Concept Driven Causal Structure Learning Using NOTEARS
J Chowdhury, G Terejanu
2023 International Conference on Machine Learning and Applications (ICMLA …, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
Causal Feature Selection: Methods and a Novel Causal Metric Evaluation Framework
R Rashid, J Chowdhury, G Terejanu
2023 IEEE 10th International Conference on Data Science and Advanced …, 2023
强制性开放获取政策： US Department of Defense
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