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D
David A. Barajas‐Solano
united states department of energy (doe)
16
H-index
77
Paper Count
1.5K
Citation Count
0
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Published Papers
14
Publication Date
Publication Date
Impact Factor
Citations
Stochastic load frequency control of power systems via Gaussian processes
International Journal of Control
IF
1.6
2025-10-01
0
PRE
AI
Ma, Tong; Barajas-Solano, David Alonso; Tartakovsky, Alexandre M.
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Randomized physics-informed machine learning for uncertainty quantification in high-dimensional inverse problems
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2024-12-01
0
OA
AI
Zong, Yifei; Barajas-Solano, David; Tartakovsky, Alexandre M.
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Gaussian process regression and conditional Karhunen-Loeve models for data assimilation in inverse problems
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2024-04-01
0
OA
AI
Yeung, Yu-Hong; Barajas-Solano, David A.; Tartakovsky, Alexandre M.
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Conditional Karhunen-Loève regression model with Basis Adaptation for high-dimensional problems: Uncertainty quantification and inverse modeling
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF
7.3
2024-01-01
1
OA
AI
Yeung, Yu-Hong; Tipireddy, Ramakrishna; Barajas-Solano, David A.; Tartakovsky, Alexandre M.
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Online real-time learning of dynamical systems from noisy streaming data
SCIENTIFIC REPORTS
IF
3.9
2023-12-19
0
OA
AI
Sinha, S.; Nandanoori, S. P.; Barajas-Solano, D. A.
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Physics-informed Gaussian process regression for states estimation and forecasting in power grids
INTERNATIONAL JOURNAL OF FORECASTING
IF
7.1
2023-04-01
5
OA
AI
Tartakovsky, Alexandre M.; Ma, Tong; Barajas-Solano, David A.; Tipireddy, Ramakrishna
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Stochastically Forced Ensemble Dynamic Mode Decomposition for Forecasting and Analysis of Near-Periodic Systems
IEEE ACCESS
IF
3.6
2022-01-01
11
OA
AI
Dylewsky, Daniel; Barajas-Solano, David; Ma, Tong; Tartakovsky, Alexandre M.; Kutz, J. Nathan
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Physics-informed machine learning with conditional Karhunen-Loeve expansions
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2021-02-01
15
OA
AI
Tartakovsky, A. M.; Barajas-Solano, D. A.; He, Q.
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Explaining persistent incomplete mixing in multicomponent reactive transport with Eulerian stochastic model
ADVANCES IN WATER RESOURCES
IF
4.2
2020-11-01
2
PRE
AI
Tartakovsky, Alexandre M.; Barajas-Solano, David
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Conditional Karhunen-Loeve expansion for uncertainty quantification and active learning in partial differential equation models
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2020-10-01
12
OA
AI
Tipireddy, Ramakrishna; Barajas-Solano, David A.; Tartakovsky, Alexandre M.
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Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport
ADVANCES IN WATER RESOURCES
IF
4.2
2020-07-01
218
OA
AI
He, QiZhi; Barajas-Solano, David; Tartakovsky, Guzel; Tartakovsky, Alexandre M.
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Efficient gHMC Reconstruction of Contaminant Release History
FRONTIERS IN ENVIRONMENTAL SCIENCE
IF
3.7
2019-10-11
8
OA
AI
Barajas-Solano, David A.; Alexander, Francis J.; Anghel, Marian; Tartakovsky, Daniel M.
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Physics-informed CoKriging: A Gaussian-process-regression-based multifidelity method for data-model convergence
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2019-10-01
59
OA
AI
Yang, Xiu; Barajas-Solano, David; Tartakovsky, Guzel; Tartakovsky, Alexandre M.
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Approximate Bayesian model inversion for PDEs with heterogeneous and state-dependent coefficients
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2019-10-01
12
OA
AI
Barajas-Solano, D. A.; Tartakovsky, A. M.
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Research Directions
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Co-authors
Cooperation Journals
J
J. Nathan Kutz
H-index: 73 · Papers: 605
D
Daniel M. Tartakovsky
H-index: 49 · Papers: 479
A
Alexandre M. Tartakovsky
H-index: 44 · Papers: 325
F
Francis J. Alexander
H-index: 25 · Papers: 115
X
Xiu Yang
H-index: 21 · Papers: 95
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