A Partitioned Methodology for Conjugate Heat Transfer on Dynamic Structures. - Miguel Zavala-Aké; Daniel Mira; Mariano Vázquez; Guillaume Houzeaux (JHPCS, 2016)

Alya: Multiphysics engineering simulation toward exascale. - Mariano Vázquez; Guillaume Houzeaux; Seid Koric; Antoni Artigues; Jazmin Aguado-Sierra; Ruth Aris; Daniel Mira; Hadrien Calmet; Fernando M. Cucchietti; Herbert Coppola-Owen; Ahmed Taha; Evan Dering Burness; et al. (J. Comput. Sci., 2016)

Saiph: Towards a DSL for High-Performance Computational Fluid Dynamics. - Sandra Macià; Sergi Mateo; Pedro J. Martínez-Ferrer; Vicenç Beltran 001; Daniel Mira; Eduard Ayguadé (RWDSL@CGO, 2018)

Performance assessment of CUDA and OpenACC in large scale combustion simulations. - Guillermo Oyarzun; Daniel Mira; Guillaume Houzeaux (CoRR, 2021)

Prediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning. - Rodolfo S. M. Freitas; Ágatha P. F. Lima; Cheng Chen; Fernando A. Rochinha; Daniel Mira; Xi Jiang (CoRR, 2021)

A portable coding strategy to exploit vectorization on combustion simulations. - Fabio Banchelli; Guillermo Oyarzun; Marta Garcia-Gasulla; Filippo Mantovani; Ambrus Both; Guillaume Houzeaux; Daniel Mira (CoRR, 2022)

JuMonC: A RESTful tool for enabling monitoring and control of simulations at scale. - Christian Witzler; Filipe Souza Mendes Guimarães; Daniel Mira; Hartwig Anzt; Jens Henrik Göbbert; Wolfgang Frings; Mathis Bode (Future Gener. Comput. Syst., 2025)