Publications

The full publication lists are provided below.

  1. Lubinski, T., Coffrin, C., McGeoch, C., Sathe, P., Apanavicius, J., & Neira, D. (2023). Optimization Applications as Quantum Performance Benchmarks. arXiv preprint arXiv:2302.02278.

  2. Su, L., Bernal, D., Grossmann, I., & Tang, L. (2023). Modeling for integrated refinery planning with crude-oil scheduling. Chemical Engineering Research and Design.

  3. Brown, R., Neira, D., Venturelli, D., & Pavone, M. (2022). Copositive programming for mixed-binary quadratic optimization via Ising solvers. arXiv preprint arXiv:2207.13630.

  4. Bernal, D., Ovalle, D., Liñán, D., Ricardez-Sandoval, L., Gómez, J., & Grossmann, I. (2022). Process Superstructure Optimization through Discrete Steepest Descent Optimization: a GDP Analysis and Applications in Process Intensification. Computer Aided Chemical Engineering.

  5. Bernal, D., Liu, Y., Bynum, M., Laird, C., Siirola, J., & Grossmann, I. (2022). Advances in Generalized Disjunctive and Mixed-Integer Nonlinear Programming Algorithms and Software for Superstructure Optimization. Computer Aided Chemical Engineering.

  6. Bernal, D., Peng, Z., Kronqvist, J., & Grossmann, I. (2022). Alternative regularizations for Outer-Approximation algorithms for convex MINLP. Journal of Global Optimization.

  7. Bernal, D., Ajagekar, A., Harwood, S., Stober, S., Trenev, D., & You, F. (2022). Perspectives of quantum computing for chemical engineering. AIChE Journal.

  8. Quintero, R., Bernal, D., Terlaky, T., & Zuluaga, L. (2022). Characterization of QUBO reformulations for the maximum k-colorable subgraph problem. Quantum Information Processing.

  9. Chen, Q., Johnson, E., Bernal, D., Valentin, R., Kale, S., Bates, J., Siirola, J., & Grossmann, I. (2022). Pyomo. GDP: an ecosystem for logic based modeling and optimization development. Optimization and Engineering.

  10. Bernal, D., Ovalle, D., Linan, D., Ricardez-Sandoval, L., Gomez, J., & Grossmann, I. (2021). Discrete-Steepest Descent: A Solution Method for Process Synthesis Generalized Disjunctive Programs. AIChE Annual Meeting.

  11. Bernal Neira, D. (2021). Modern Computational Approaches to Nonlinear Discrete Optimization and Applications in Process Systems Engineering. .

  12. Bernal, D. & Grossmann, I. (2021). Convex mixed-integer nonlinear programs derived from generalized disjunctive programming using cones. arXiv preprint arXiv:2109.09657.

  13. Pedrozo, H., Reartes, S., Bernal, D., Vecchietti, A., Díaz, M., & Grossmann, I. (2021). Hybrid model generation for superstructure optimization with Generalized Disjunctive Programming. Computers & Chemical Engineering.

  14. Harwood, S., Gambella, C., Trenev, D., Simonetto, A., Bernal, D., & Greenberg, D. (2021). Formulating and solving routing problems on quantum computers. IEEE Transactions on Quantum Engineering.

  15. Linan, D., Bernal, D., Gomez, J., & Ricardez-Sandoval, L. (2021). Optimal synthesis and design of catalytic distillation columns: A rate-based modeling approach. Chemical Engineering Science.

  16. Li, C., Bernal, D., Furman, K., Duran, M., & Grossmann, I. (2021). Sample average approximation for stochastic nonconvex mixed integer nonlinear programming via outer-approximation. Optimization and Engineering.

  17. Bernal, D. & Grossmann, I. (2020). Use of Quantum Computing to Solve Optimization Problems in Process Systems Engineering. 2020 Virtual AIChE Annual Meeting.

  18. Chen, Q., Liu, Y., Seastream, G., Bernal, D., Siirola, J., & Grossmann, I. (2020). Pyosyn Graph: New Representation and Systematic Generation. 2020 Virtual AIChE Annual Meeting.

  19. Bernal, D. (2020). Modern Computational Approaches to Nonlinear Discrete Optimization and Their Application to Process Systems Engineering. 2020 Virtual AIChE Annual Meeting.

  20. Bernal, D., Tayur, S., & Venturelli, D. (2020). Quantum Integer Programming (QuIP) 47-779: Lecture Notes. arXiv preprint arXiv:2012.11382.

  21. Linán, D., Bernal, D., Ricardez-Sandoval, L., & Gómez, J. (2020). Optimal design of superstructures for placing units and streams with multiple and ordered available locations. Part I: A new mathematical framework. Computers & Chemical Engineering.

  22. Ikonen, T., Mostafaei, H., Ye, Y., Bernal, D., Grossmann, I., & Harjunkoski, I. (2020). Large-scale selective maintenance optimization using bathtub-shaped failure rates. Computers & Chemical Engineering.

  23. Yang, H., Bernal, D., Franzoi, R., Engineer, F., Kwon, K., Lee, S., & Grossmann, I. (2020). Integration of crude-oil scheduling and refinery planning by Lagrangean Decomposition. Computers & Chemical Engineering.

  24. Linán, D., Bernal, D., Ricardez-Sandoval, L., & Gómez, J. (2020). 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.

  25. Bernal, D., Booth, K., Dridi, R., Alghassi, H., Tayur, S., & Venturelli, D. (2020). Integer programming techniques for minor-embedding in quantum annealers. Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 17th International Conference, CPAIOR 2020, Vienna, Austria, September 21–24, 2020, Proceedings 17.

  26. Kronqvist, J., Bernal, D., & Grossmann, I. (2020). Using regularization and second order information in outer approximation for convex MINLP. Mathematical Programming.

  27. Bernal, D. & Grossmann, I. (2019). Easily Solvable Convex Mixed-Integer Nonlinear Programs Derived from Generalized Disjunctive Programming Using Cones. 2019 AIChE Annual Meeting.

  28. Chen, Q., Kale, S., Bates, J., Valentin, R., Bernal, D., Bynum, M., Siirola, J., & Grossmann, I. (2019). Pyosyn: a collaborative ecosystem for process design advancement. 2019 AIChE annual meeting.

  29. Lara, C., Bernal, D., Li, C., & Grossmann, I. (2019). Global optimization algorithm for multi-period design and planning of centralized and distributed manufacturing networks. Computers & Chemical Engineering.

  30. Bernal, D., Vigerske, S., Trespalacios, F., & Grossmann, I. (2019). Improving the performance of DICOPT in convex MINLP problems using a feasibility pump. Optimization Methods and Software.

  31. Kronqvist, J., Bernal, D., Lundell, A., & Grossmann, I. (2019). A review and comparison of solvers for convex MINLP. Optimization and Engineering.

  32. Kronqvist, J., Bernal, D., Lundell, A., & Westerlund, T. (2019). A center-cut algorithm for quickly obtaining feasible solutions and solving convex MINLP problems. Computers & Chemical Engineering.

  33. Leisman, L., Haynes, M., Janowiecki, S., Hallenbeck, G., Jozsa, G., Giovanelli, R., Adams, E., Neira, D., Cannon, J., & Janesh, W. (2018). VizieR Online Data Catalog: HI-bearing ultra-diffuse ALFALFA galaxies (Leisman+, 2017). VizieR Online Data Catalog.

  34. Yang, H., Bernal, D., & Grossmann, I. (2018). Integration of Crude-Oil Scheduling and Refinery Planning By Lagrangean Decomposition Approach. 2018 AIChE Annual Meeting.

  35. Bernal, D., Su, L., Tang, L., & Grossmann, I. (2018). Quadratic Cut Decomposition Method for Convex Mixed-Integer Nonlinear Programs. 2018 AIChE Annual Meeting.

  36. Su, L., Tang, L., Bernal, D., Grossmann, I., & Wang, B. (2018). Integrated scheduling of on-line blending and distribution of oil products in refinery operation. Computer Aided Chemical Engineering.

  37. Bernal, D., Carrillo-Diaz, C., Gómez, J., & Ricardez-Sandoval, L. (2018). Simultaneous design and control of catalytic distillation columns using comprehensive rigorous dynamic models. Industrial & Engineering Chemistry Research.

  38. Bernal, D., Chen, Q., Gong, F., & Grossmann, I. (2018). Mixed-integer nonlinear decomposition toolbox for Pyomo (MindtPy). Computer Aided Chemical Engineering.

  39. Su, L., Tang, L., Bernal, D., & Grossmann, I. (2018). Improved quadratic cuts for convex mixed-integer nonlinear programs. Computers & Chemical Engineering.

  40. HALLENBECK, G., JÓZSA, G., ADAMS, E., NEIRA, D., CANNON, J., JANESH, W., RHODE, K., & SALZER, J. (2017). LEISMAN L. 1, HAYNES MP 1, GIOVANELLI R. 1, JANOWIECKI S. 2. THE ASTROPHYSICAL JOURNAL.

  41. Kronqvist, J., Bernal, D., & Grossmann, I. (2017). A Level-Based Quadratic Outer Approximation Algorithm for Convex MINLP. 2017 AIChE Annual Meeting.

  42. Ball, C., Singer, Q., Cannon, J., Leisman, L., Haynes, M., Adams, E., Bernal Neira, D., Giovanelli, R., Hallenbeck, G., & Janesh, W. (2017). VLA+ WSRT HI Imaging of Two" Almost Dark" Galaxies. American Astronomical Society... meeting.

  43. Leisman, L., Haynes, M., Janowiecki, S., Hallenbeck, G., Józsa, G., Giovanelli, R., Adams, E., Neira, D., Cannon, J., & Janesh, W. (2017). (Almost) Dark Galaxies in the ALFALFA Survey: Isolated H i-bearing Ultra-diffuse Galaxies. The Astrophysical Journal.

  44. Bernal Neira, D. (2016). Optimal design and control of a catalytic distillation column-case study: Ethyl tert-butyl ether (ETBE) synthesis column. .

  45. Bernal Neira, D. (2016). Acotando las velocidades tangenciales de las galaxias satélites de Andrómeda utilizando optimización no lineal. .

  46. Bernal Neira, D. (2014). Estudio comparativo de los métodos de simulación del sistema de destilación extractiva para la deshidratación de etanol utilizando glicerina como solvente. .

  47. Brown, R., Bernal, D., Sahasrabudhe, A., Lott, A., Venturelli, D., & Pavone, M. (). Copositive optimization via Ising solvers. .