Publications

Here is a list of our scholarly publications.

Notice that the most updated list is provided by Google Scholar.

1. Brown, R., Venturelli, D., Pavone, M., & Bernal Neira, D. (2024). Accelerating Continuous Variable Coherent Ising Machines via Momentum. arXiv preprint arXiv:2401.12135.
2. Kerger, P., Bernal Neira, D., Gonzalez Izquierdo, Z., & Rieffel, E. (2023). Mind the O: Asymptotically better, but still impractical, quantum distributed algorithms. Algorithms.
3. Maciel Xavier, P., Ripper, P., Andrade, T., Dias Garcia, J., Maculan, N., & Bernal Neira, D. (2023). QUBO. jl: A Julia Ecosystem for Quadratic Unconstrained Binary Optimization. arXiv e-prints.
4. Bernal Neira, D., Laird, C., Harwood, S., Trenev, D., & Venturelli, D. (2023). Impact of Emerging Computing Architectures and Opportunities for Process Systems Engineering Applications. Foundations of Computer-Aided Process Operations (FOCAPO)/Chemical Process Control (CPC) 2023.
5. Lubinski, T., Coffrin, C., McGeoch, C., Sathe, P., Apanavicius, J., & Bernal Neira, D. (2023). Optimization Applications as Quantum Performance Benchmarks. arXiv preprint arXiv:2302.02278.
6. Su, L., Bernal Neira, D., Grossmann, I., & Tang, L. (2023). Modeling for integrated refinery planning with crude-oil scheduling. Chemical Engineering Research and Design.
7. Brown, R., Bernal Neira, D., Venturelli, D., & Pavone, M. (2022). Copositive programming for mixed-binary quadratic optimization via Ising solvers. arXiv preprint arXiv:2207.13630.
8. Bernal Neira, 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.
9. Bernal Neira, 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.
10. Bernal Neira, D., Peng, Z., Kronqvist, J., & Grossmann, I. (2022). Alternative regularizations for Outer-Approximation algorithms for convex MINLP. Journal of Global Optimization.
11. Bernal Neira, D., Ajagekar, A., Harwood, S., Stober, S., Trenev, D., & You, F. (2022). Perspectives of quantum computing for chemical engineering. AIChE Journal.
12. Quintero, R., Bernal Neira, D., Terlaky, T., & Zuluaga, L. (2022). Characterization of QUBO reformulations for the maximum k-colorable subgraph problem. Quantum Information Processing.
13. Chen, Q., Johnson, E., Bernal Neira, 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.
14. Bernal Neira, 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.
15. Bernal Neira, D. (2021). Modern Computational Approaches to Nonlinear Discrete Optimization and Applications in Process Systems Engineering. .
16. Bernal Neira, D. & Grossmann, I. (2021). Convex mixed-integer nonlinear programs derived from generalized disjunctive programming using cones. arXiv preprint arXiv:2109.09657.
17. Pedrozo, H., Reartes, S., Bernal Neira, D., Vecchietti, A., Díaz, M., & Grossmann, I. (2021). Hybrid model generation for superstructure optimization with Generalized Disjunctive Programming. Computers & Chemical Engineering.
18. Harwood, S., Gambella, C., Trenev, D., Simonetto, A., Bernal Neira, D., & Greenberg, D. (2021). Formulating and solving routing problems on quantum computers. IEEE Transactions on Quantum Engineering.
19. Linan, D., Bernal Neira, D., Gomez, J., & Ricardez-Sandoval, L. (2021). Optimal synthesis and design of catalytic distillation columns: A rate-based modeling approach. Chemical Engineering Science.
20. Li, C., Bernal Neira, D., Furman, K., Duran, M., & Grossmann, I. (2021). Sample average approximation for stochastic nonconvex mixed integer nonlinear programming via outer-approximation. Optimization and Engineering.
21. Bernal Neira, D. & Grossmann, I. (2020). Use of Quantum Computing to Solve Optimization Problems in Process Systems Engineering. 2020 Virtual AIChE Annual Meeting.
22. Chen, Q., Liu, Y., Seastream, G., Bernal Neira, D., Siirola, J., & Grossmann, I. (2020). Pyosyn Graph: New Representation and Systematic Generation. 2020 Virtual AIChE Annual Meeting.
23. Bernal Neira, D. (2020). Modern Computational Approaches to Nonlinear Discrete Optimization and Their Application to Process Systems Engineering. 2020 Virtual AIChE Annual Meeting.
24. Bernal Neira, D., Tayur, S., & Venturelli, D. (2020). Quantum Integer Programming (QuIP) 47-779: Lecture Notes. arXiv preprint arXiv:2012.11382.
25. Linán, D., Bernal Neira, 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.
26. Ikonen, T., Mostafaei, H., Ye, Y., Bernal Neira, D., Grossmann, I., & Harjunkoski, I. (2020). Large-scale selective maintenance optimization using bathtub-shaped failure rates. Computers & Chemical Engineering.
27. Yang, H., Bernal Neira, 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.
28. Linán, D., Bernal Neira, 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.
29. Bernal Neira, 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.
30. Kronqvist, J., Bernal Neira, D., & Grossmann, I. (2020). Using regularization and second order information in outer approximation for convex MINLP. Mathematical Programming.
31. Bernal Neira, D. & Grossmann, I. (2019). Easily Solvable Convex Mixed-Integer Nonlinear Programs Derived from Generalized Disjunctive Programming Using Cones. 2019 AIChE Annual Meeting.
32. Chen, Q., Kale, S., Bates, J., Valentin, R., Bernal Neira, D., Bynum, M., Siirola, J., & Grossmann, I. (2019). Pyosyn: a collaborative ecosystem for process design advancement. 2019 AIChE annual meeting.
33. Lara, C., Bernal Neira, D., Li, C., & Grossmann, I. (2019). Global optimization algorithm for multi-period design and planning of centralized and distributed manufacturing networks. Computers & Chemical Engineering.
34. Bernal Neira, 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.
35. Kronqvist, J., Bernal Neira, D., Lundell, A., & Grossmann, I. (2019). A review and comparison of solvers for convex MINLP. Optimization and Engineering.
36. Kronqvist, J., Bernal Neira, D., Lundell, A., & Westerlund, T. (2019). A center-cut algorithm for quickly obtaining feasible solutions and solving convex MINLP problems. Computers & Chemical Engineering.
37. Leisman, L., Haynes, M., Janowiecki, S., Hallenbeck, G., Jozsa, G., Giovanelli, R., Adams, E., Bernal Neira, D., Cannon, J., & Janesh, W. (2018). VizieR Online Data Catalog: HI-bearing ultra-diffuse ALFALFA galaxies (Leisman+, 2017). VizieR Online Data Catalog.
38. Yang, H., Bernal Neira, D., & Grossmann, I. (2018). Integration of Crude-Oil Scheduling and Refinery Planning By Lagrangean Decomposition Approach. 2018 AIChE Annual Meeting.
39. Bernal Neira, D., Su, L., Tang, L., & Grossmann, I. (2018). Quadratic Cut Decomposition Method for Convex Mixed-Integer Nonlinear Programs. 2018 AIChE Annual Meeting.
40. Su, L., Tang, L., Bernal Neira, D., Grossmann, I., & Wang, B. (2018). Integrated scheduling of on-line blending and distribution of oil products in refinery operation. Computer Aided Chemical Engineering.
41. Bernal Neira, 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.
42. Bernal Neira, D., Chen, Q., Gong, F., & Grossmann, I. (2018). Mixed-integer nonlinear decomposition toolbox for Pyomo (MindtPy). Computer Aided Chemical Engineering.
43. Su, L., Tang, L., Bernal Neira, D., & Grossmann, I. (2018). Improved quadratic cuts for convex mixed-integer nonlinear programs. Computers & Chemical Engineering.
44. Kronqvist, J., Bernal Neira, D., & Grossmann, I. (2017). A Level-Based Quadratic Outer Approximation Algorithm for Convex MINLP. 2017 AIChE Annual Meeting.
45. 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.
46. 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.
47. Bernal Neira, D. (2016). Optimal design and control of a catalytic distillation column-case study: Ethyl tert-butyl ether (ETBE) synthesis column. .
48. Bernal Neira, D. (2016). Acotando las velocidades tangenciales de las galaxias satélites de Andrómeda utilizando optimización no lineal. .
49. 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. .

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