| The neural network collocation method for solving partial differential equations AR Brink, DA Najera-Flores, C Martinez Neural Computing and Applications 33 (11), 5591-5608, 2021 | 30 | 2021 |
| A Physics-Constrained Bayesian neural network for battery remaining useful life prediction DA Najera-Flores, Z Hu, M Chadha, MD Todd Applied Mathematical Modelling 122, 42-59, 2023 | 9 | 2023 |
| A study of whole joint model calibration using quasi-static modal analysis DA Najera-Flores, RJ Kuether Journal of Vibration and Acoustics 142 (5), 051109, 2020 | 7 | 2020 |
| Efficient Random Vibration Analysis of Nonlinear Systems with Long-Short-Term Memory Networks for Uncertainty Quantification. DA Najera-Flores, AR Brink Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018 | 7 | 2018 |
| A structure-preserving neural differential operator with embedded Hamiltonian constraints for modeling structural dynamics DA Najera-Flores, MD Todd Computational Mechanics 72 (2), 241-252, 2023 | 6 | 2023 |
| Parameter estimation of joint models using global optimization RJ Kuether, DA Najera Dynamics of Coupled Structures, Volume 4: Proceedings of the 35th IMAC, A …, 2017 | 6 | 2017 |
| Response predictions of reduced models with whole joints. RJ Kuether, DA Najera-Flores Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018 | 4 | 2018 |
| Corrosion morphology prediction of civil infrastructure using a physics-constrained machine learning method DA Najera-Flores, G Qian, Z Hu, MD Todd Mechanical Systems and Signal Processing 200, 110515, 2023 | 3 | 2023 |
| The Tribomechadynamics Research Challenge: Confronting Blind Predictions for the Linear and Nonlinear Dynamics of a Novel Jointed Structure with Measurement Results M Krack, MRW Brake, C Schwingshackl, J Gross, P Hippold, M Lasen, ... | 3 | 2023 |
| Ensemble of numerics-informed neural networks with embedded hamiltonian constraints for modeling nonlinear structural dynamics DA Najera-Flores, MD Todd Nonlinear Structures & Systems, Volume 1: Proceedings of the 40th IMAC, A …, 2022 | 3 | 2022 |
| 2021 Tribomechadynamics Research Challenge: Sandia National Laboratories High-fidelity FEA Approach. R Kuether, D Najera-Flores, J Ortiz, M Khan, P Miles Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | 3 | 2021 |
| Efficient Random Vibration Analysis of Nonlinear Systems with Long Short-Term Memory Networks for Uncertainty Quantification. AR Brink, DA Najera-Flores Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018 | 3 | 2018 |
| Structural response prediction of a flat beam with geometric nonlinearities with temporal convolutional networks D Najera, C Lee Engineering Archive, 2021 | 2 | 2021 |
| Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems H Sharma, DA Najera-Flores, MD Todd, B Kramer Computer Methods in Applied Mechanics and Engineering 423, 116865, 2024 | 1 | 2024 |
| Approximating nonlinear response to harmonic base-excitation using fixed-interface quasi-static modal analysis DA Najera-Flores, RJ Kuether Journal of Sound and Vibration 544, 117381, 2023 | 1 | 2023 |
| Investigation into Potential Modal Coupling in a Bolted Structure Using a Nonlinear ROM and QSMA. D Roettgen, D Agramonte, G Graves, K Meyer, B Pacini, MS Allen, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | 1 | 2021 |
| Machine Learning Applications at Sandia National Laboratories. C Martinez, K Potter, E Donahue, A Brink, D Najera-Flores, PD Yeh, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | 1 | 2019 |
| Modeling Nonlinear Energy Dissipation of the Ministack Assembly RJ Kuether, DA Najera-Flores Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017 | 1 | 2017 |
| A Physics-Based Reduced Order Model with Machine Learning-Boosted Hyper-Reduction K Vlachas, D Najera-Flores, C Martinez, AR Brink, E Chatzi Topics in Modal Analysis & Parameter Identification, Volume 8: Proceedings …, 2012 | 1 | 2012 |
| A structure-preserving machine learning framework for accurate prediction of structural dynamics for systems with isolated nonlinearities DA Najera-Flores, DD Quinn, A Garland, K Vlachas, E Chatzi, MD Todd Mechanical Systems and Signal Processing 213, 111340, 2024 | | 2024 |
Adam R. BrinkATA EngineeringVerified email at ata-e.com
