2024:

1. G. Lorenzo, J.S. Heiselman, M.A. Liss, M.I. Miga, H. Gómez, T.E. Yankeelov, A. Reali, T.J.R. Hughes, "A pilot study on patient-specific computational forecasting of prostate cancer growth during active surveillance using an imaging-informed biomechanistic model", Cancer Research Communications,4(3):617-633 , 2024.
   


2. S. Méndez-Vázquez, A. Soage, F. Navarrina, J. París, I. Colominas, L. Cueto-Felgueroso, R. Juanes "Effect of a gunite lining on the stability of salt caverns in bedded formations for hydrogen storage", International Journal of Hydrogen Energy,90:298-316 , 2024.
   


3. L. Ramírez, J. Fernández-Fidalgo, J. París, S. Khelladi, X. Nogueira "A very fast high-order flux reconstruction for Finite Volume schemes for Computational Aeronautics", Engineering With Computers, , 2024.
   


4. G. Lorenzo, A.M. Jarret, C.T. Meyer, J.C. DiCarlo, J. Virostko, V. Quaranta, D.R. Tyson, T.E. Yankeelov "A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data", Engineering With Computers, 40: 1469-1499, 2024.
   


5. R. Ouzani, S. Khelladi, X. Nogueira "High thermal Rayleigh number with double-diffusive finger convection: Effect of nonlinear equation of state", International Commmunications in Heat and Mass Transfer,158:107861 , 2024.
   
6. H.J.M. Miniere, E.A.B.F. Lima, G. Lorenzo, D.A. Hormuth II, S. Ty, A. Brock, T.E. Yankeelov, "A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin", Cancer Biology & Therapy,25:1 , 2024.
   


7. A. Soage, L. Ramírez, R. Juanes, L. Cueto-Felgueroso, I. Colominas "Statistical assessment of the financial performance of shale-gas wells coupling stochastic and numerical simulation", Petroleum Science, , 2024.
   


8. T.E. Yankeelov, D.A. Hormuth II, E.A.B.F. Lima, G. Lorenzo, C. Wu, L.C. Okereke, G.M. Rauch, A.M. Venkatesan, C. Chung, "Designing clinical trials for patients who are not average", iScience, 27(1):108589, 2024.
   


9. J. Fernández-Fidalgo, L. Cueto-Felgueroso, L. Ramírez, A. Martínez, X. Nogueira "Pore-scale simulation of multiphase flows using equations of state that preserve the correct surface tension", Computers Methods in Applied Mechanics and Engineering, 428: 117072, 2024.
   


10. O.O. Davarci, E.Y. Yang, A. Viguerie, T.E. Yankeelov, G. Lorenzo, "Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States", Engineering With Computers, 40: 813-837, 2024.
    


11. X. Nogueira, J. Fernández-Fidalgo, L. Ramos, I. Couceiro, L. Ramírez "Machine learning-based WENO5 scheme", Computers & Mathematics with Applications, 168: 84-99, 2024.
    


12. E. Beretta, C. Cavaterra, M. Fornoni, G. Lorenzo, E. Rocca, "Mathematical analysis of a model-constrained inverse problem for the reconstruction of early states of prostate cancer growth", SIAM Journal on Applied Mathematics, 84(5): 10.1137, 2024.
    


13. D. Villalba, J. París, I. Couceiro, F. Navarrina "Isogeometric topology optimization of structures using the overweight approach", Structural and Multidisciplinary Optimization, 67: 84, 2024.
    


14. M. Egozcue, L. Fuentes, "Optimizing hedonic editing for multiple outcomes: an algorithm", Computational Management Science, 21: 40, 2024.


15. G. Lorenzo, S.R. Ahmed, D.A. Hormuth, B. Vaughn, J.Kapalthy-Cramer, L. Solorio, T.E. Yankeelov, H. Gómez, "Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data", Annual Review of Biomedical Engineering, 26:529-560, 2024.
    


16. A. Soage, R. Juanes, I. Colominas, L. Cueto-Felgueroso "Optimization of financial indicators in shale-gas whells combining numerical decline curve analysis and economic data analysis", Energies, 17(4): 864, 2024.