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Quercus Hernández

Senior Research Engineer
Emmi AI
quercus(at)emmi.ai


About Me

I am a Senior Research Engineer at Emmi AI, focusing on developing the next generation of AI-enhanced engineering solvers. My main research topics lie in the interface between computational mechanics, structure-preserving deep learning and model order reduction with the aim of learning physical simulations from data for real-time applications. My Ph.D. thesis was supervised by Elías Cueto and Alberto Badías at the University of Zaragoza (Spain), inside the Applied Mechanics and Bioengineering group. I also did a resarch intern at the CRUNCH Group led by George Karniadakis at Brown University and postdoc at the Physics-Informed Machine Intelligence Laboratory led by Nat Trask at the University of Pennsylvania.

Research Interests

News

Publications

  1. 2025
    Data-driven particle dynamics: Structure-preserving coarse-graining for emergent behavior in non-equilibrium systems
    Q. Hernandez, M. Win, T.C. O'Connor, P.E. Arratia, N. Trask
    arXiv preprint, arXiv:2508.12569 (Under review)
    PDF Code

  2. 2025
    A neural network architecture for physically-consistent haptic rendering
    Q. Hernandez, P. Martins, L. Tesan, I. Alfaro, D. Gonzalez, F. Chinesta, E. Cueto
    Virtual Reality, 29 (3), 114
    PDF

  3. 2023
    Structure-Preserving Deep Learning
    Q. Hernandez
    Doctoral Thesis, Cum Laude (highest award)
    PDF Best 2023 Thesis SEMNI
    Winner ECCOMAS 2024 PhD Olympiad

  4. 2023
    Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems
    Q. Hernandez, A. Badias, F. Chinesta, E. Cueto
    Computational Mechanics, 72, 553-561
    PDF

  5. 2023
    Thermodynamics-informed neural networks for physically realistic mixed reality
    Q. Hernandez, A. Badias, F. Chinesta, E. Cueto
    Computer Methods in Applied Mechanics and Engineering 407, 115912
    PDF

  6. 2022
    Thermodynamics-informed graph neural networks
    Q. Hernandez, A. Badias, F. Chinesta, E. Cueto
    IEEE Transactions on Artificial Intelligence 5 (3), 967-976
    PDF Code

  7. 2021
    Deep learning of thermodynamics-aware reduced-order models from data
    Q. Hernandez, A. Badias, D. Gonzalez, F. Chinesta, E. Cueto
    Computer Methods in Applied Mechanics and Engineering 379, 113763
    PDF Code ICLR 2021 SimDL Workshop

  8. 2021
    Structure-preserving neural networks
    Q. Hernandez, A. Badias, D. Gonzalez, F. Chinesta, E. Cueto
    Journal of Computational Physics 426, 109950
    PDF Code

  9. 2017
    DeepToF: off-the-shelf real-time correction of multipath interference in time-of-flight imaging
    J. Marco, Q. Hernandez, A. Munoz, Y. Dong, A. Jarabo, M.H. Kim, X. Tong, D. Gutierrez
    ACM Transactions on Graphics (ToG) 36 (6), 219
    PDF Code

  10. 2017
    A computational model of a single-photon avalanche diode sensor for transient imaging
    Q. Hernandez, D. Gutierrez, A. Jarabo
    arXiv preprint, arXiv:1703.02635
    PDF Code

  11. 2016
    Failure properties of vena cava tissue due to deep penetration during filter insertion
    Q. Hernandez, E. Peña
    Biomechanics and modeling in mechanobiology 15 (4), 845-856
    PDF

Contact

You can contact me via my institutional email quercus(at)emmi.ai or my personal email quercushernandez(at)gmail.com to ask me any questions about my work. I am very responsive, don't be shy!


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