David Najera-Flores

A Physics-Constrained Bayesian neural network for battery remaining useful life prediction

David Najera-Flores, Zhen Hu, Mayank Chadha et al. · Applied Mathematical Modelling · 2023 · 47 citations · Full text

Electrical Engineering, Engineering, Machine Learning +10

The neural network collocation method for solving partial differential equations

Adam R. Brink, David Najera-Flores, Cari Martinez · Neural Computing and Applications · 2020 · 28 citations

Numerical Analysis, Engineering, Pde-constrained Optimization +6

Corrosion morphology prediction of civil infrastructure using a physics-constrained machine learning method

David Najera-Flores, Guofeng Qian, Zhen Hu et al. · Mechanical Systems and Signal Processing · 2023 · 22 citations

Engineering, Machine Learning, Data Science +13

A structure-preserving neural differential operator with embedded Hamiltonian constraints for modeling structural dynamics

David Najera-Flores, Michael D. Todd · Computational Mechanics · 2023 · 18 citations

Hamiltonian Theory, System Dynamic, Structural Dynamics +7

Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems

Harsh Sharma, David Najera-Flores, Michael D. Todd et al. · Computer Methods in Applied Mechanics and Engineering · 2024 · 16 citations · Full text