1. D. E. Bernal, “Coherent simulation with thousands of qubits”, Nature Physics, 2022. doi: 10.1038/s41567-022-01772-z.
  2. D. E. Bernal, A. Ajagekar, S. M. Harwood, S. T. Stober, D. Trenev, and F. You, “Perspectives of Quantum Computing for Chemical Engineering”, AIChE Journal, e17651, 2022. doi: 10.1002/aic.17651.
  3. D. E. Bernal, Z. Peng, J. Kronqvist, and I. E. Grossmann, “Alternative regularizations for outer-approximation algorithms for convex MINLP”, Journal of Global Optimization, pp. 1–36, 2022.
  4. R. Quintero, D. E. Bernal, T. Terlaky, and L. F. Zuluaga, “Characterization of QUBO reformulations for the maximum k-colorable subgraph problem”, Quantum Information Processing, vol. 21, no. 3, pp. 1–36, 2022. doi: 10.1007/s11128-022-03421-z.
  5. Q. Chen, E. S. Johnson, D. E. Bernal, R. Valentin, S. Kale, J. Bates, J. D. Siirola, and I. E. Grossmann, “Pyomo. GDP: an ecosystem for logic based modeling and optimization development”, Optimization and Engineering, pp. 1–36, 2021. doi: 10.1007/s11081-021-09601-7.
  6. S. Harwood, C. Gambella, D. Trenev, A. Simonetto, D. E. Bernal, and D. Greenberg, “Formulating and Solving Routing Problems on Quantum Computers”, IEEE Transactions on Quantum Engineering, 2021. doi:10.1109/TQE.2021.3049230.
  7. D. A. Liñán, D. E. Bernal, J. M. Gómez, and L. A. Ricardez-Sandoval, “Optimal synthesis and design of catalytic distillation columns: A rate-based modeling approach”, Chemical Engineering Science, vol. 231, p. 116 294, 2021. doi: 10.1016/j.ces.2020.116294.
  8. H. A. Pedrozo, S. R. Reartes, D. E. Bernal, A. Vecchietti, M. S. Dı́az, and I. E. Grossmann, “Hybrid model generation for superstructure optimization with Generalized Disjunctive Programming”, Computers & Chemical Engineering, vol. 154, p. 107 473, 2021. doi: 10.1016/j.compchemeng.2021.107473.
  9. D. E. Bernal, S. Vigerske, F. Trespalacios, and I. E. Grossmann, “Improving the performance of DICOPT in convex MINLP problems using a feasibility pump”, Optimization Methods and Software, vol. 35, no. 1, pp. 171–190, 2020. doi: 10.1080/10556788.2019.1641498.
  10. T. J. Ikonen, H. Mostafaei, Y. Ye, D. E. Bernal, I. E. Grossmann, and I. Harjunkoski, “Large-scale selective maintenance optimization using bathtub-shaped failure rates”, Computers & Chemical Engineering, vol. 139, p. 106 876, 2020. doi: 10.1016/j.compchemeng.2020.106876.
  11. J. Kronqvist, D. E. Bernal, and I. E. Grossmann, “Using regularization and second order information in outer approximation for convex MINLP”, Mathematical Programming, vol. 180, no. 1, pp. 285–310, 2020. doi: 10.1007/s10107-018-1356-3.
  12. C. Li, D. E. Bernal, K. C. Furman, M. A. Duran, and I. E. Grossmann, “Sample average approximation for stochastic nonconvex mixed integer nonlinear programming via outer-approximation”, Optimization and Engineering, pp. 1–29, 2020. doi: 10.1007/s11081-020-09563-2.
  13. D. A. Liñán, D. E. Bernal, L. A. Ricardez-Sandoval, and J. M. Gómez, “Optimal design of superstructures for placing units and streams with multiple and ordered available locations. Part I: A new mathematical framework”, Computers & Chemical Engineering, p. 106 794, 2020. doi: 10.1016/j.compchemeng.2020.106794.
  14. D. A. Liñán, D. E. Bernal, L. A. Ricardez-Sandoval, and J. M. Gómez, “Optimal design of superstructures for placing units and streams with multiple and ordered available locations. Part II: Rigorous design of catalytic distillation columns”, Computers & Chemical Engineering, p. 106 845, 2020. doi: 10.1016/j.compchemeng.2020.106845.
  15. H. Yang, D. E. Bernal, R. E. Franzoi, F. G. Engineer, K. Kwon, S. Lee, and I. E. Grossmann, “Integration of Crude-Oil Scheduling and Refinery Planning by Lagrangean Decomposition”, Computers & Chemical Engineering, p. 106 812, 2020. doi: 10.1016/j.compchemeng.2020.106812.
  16. J. Kronqvist, D. E. Bernal, A. Lundell, and I. E. Grossmann, “A review and comparison of solvers for convex MINLP”, Optimization and Engineering, vol. 20, no. 2, pp. 397–455, 2019. doi: 10.1007/s11081-018-9411-8.
  17. J. Kronqvist, D. E. Bernal, A. Lundell, and T. Westerlund, “A center-cut algorithm for quickly obtaining feasible solutions and solving convex MINLP problems”, Computers & Chemical Engineering, vol. 122, pp. 105–113, 2019. doi: 10.1016/j.compchemeng.2018.06.019.
  18. C. L. Lara, D. E. Bernal, C. Li, and I. E. Grossmann, “Global optimization algorithm for multi-period design and planning of centralized and distributed manufacturing networks”, Computers & Chemical Engineering, vol. 127, pp. 295–310, 2019. doi: 10.1016/j.compchemeng.2019.05.022.
  19. D. E. Bernal, C. Carrillo-Diaz, J. M. Gómez, and L. A. Ricardez-Sandoval, “Simultaneous design and control of catalytic distillation columns using comprehensive rigorous dynamic models”, Industrial & Engineering Chemistry Research, vol. 57, no. 7, pp. 2587–2608, 2018. doi: 10.1021/acs.iecr.7b04205.
  20. L. Su, L. Tang, D. E. Bernal, and I. E. Grossmann, “Improved quadratic cuts for convex mixed-integer nonlinear programs”, Computers & Chemical Engineering, vol. 109, pp. 77–95, 2018, issn: 0098-1354. doi: 10.1016/j.compchemeng.2017.10.011.
  21. L. Leisman, M. P. Haynes, S. Janowiecki, G. Hallenbeck, G. Józsa, R. Giovanelli, E. A. Adams, D. E. Bernal, J. M. Cannon, W. F. Janesh, et al., “(Almost) Dark Galaxies in the ALFALFA Survey: Isolated H i-bearing Ultra-diffuse Galaxies”, The Astrophysical Journal, vol. 842, no. 2, p. 133, 2017. doi: 10.3847/1538-4357/aa7575.

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