Quercus Hernández

Ph.D. Student

Campus Rio Ebro – Edificio Betancourt. Mechanical Engineering Department.
Maria de Luna, s/n
50018 – Zaragoza (Spain)
e-mail: quercus(at)unizar.es
[LinkedIn] [Google Scholar] [Github] [ORCID iD]


  • B. Sc. Industrial Engineering, Industrial Automation and Robotics (2010 – 2014)
  • M. Sc. Industrial Engineering (2014 – 2016)
  • Ph. D. Computational Mechanics (2019 – On going)
  • B. Sc. Mathematics (2020 – On going)


  • Computational mechanics.
  • Real time mechanical simulations.
  • Model order reduction.
  • Physically-consistent deep learning.



Thermodynamics-informed graph neural networks
Q. Hernandez, A. Badias, F. Chinesta, E. Cueto
IEEE Transactions on Artificial Intelligence
[Paper] [Code]


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
[Paper] [Code]

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


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
[Paper] [Project page]

A computational model of a single-photon avalanche diode sensor for transient imaging.
Q. Hernandez, D. Gutierrez, A. Jarabo
arXiv preprint arXiv:1703.02635
[Paper] [Project page]


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