Publications

Here is a list of our scholarly publications.

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

1. Niu, S., Kökcü, E., Johri, S., Ramesh, A., Chatterjee, A., Bernal Neira, D., Camps, D., & Lubinski, T. (2025). A Practical Framework for Assessing the Performance of Observable Estimation in Quantum Simulation. arXiv preprint arXiv:2504.09813.
2. Koch, T., Bernal Neira, D., Chen, Y., Cortiana, G., Egger, D., Heese, R., Hegade, N., Cadavid, A., Huang, R., & Itoko, T. (2025). Quantum Optimization Benchmark Library--The Intractable Decathlon. arXiv preprint arXiv:2504.03832.
3. Bernal Neira, D., Gómez-Castro, F., del-Río-Chanona, E., & Rico-Ramírez, V. (2025). Future insights for optimization in chemical engineering. Optimization in Chemical Engineering: Deterministic, Meta-Heuristic and Data-Driven Techniques.
4. Montanez-Barrera, J., Michielsen, K., & Bernal Neira, D. (2025). Evaluating the performance of quantum process units at large width and depth. arXiv preprint arXiv:2502.06471.
5. Dupont, M., Sundar, B., Evert, B., Bernal Neira, D., Peng, Z., Jeffrey, S., & Hodson, M. (2025). Benchmarking quantum optimization for the maximum-cut problem on a superconducting quantum computer. Physical Review Applied.
6. Makansi, J. & Neira, D. (2024). A Greedy Quantum Route-Generation Algorithm. arXiv preprint arXiv:2405.03054.
7. Dutta, S., Innan, N., Yahia, S., Shafique, M., & Bernal Neira, D. (2024). MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption. arXiv preprint arXiv:2412.01858.
8. Belaloui, N., Tounsi, A., Khamadja, R., Louamri, M., Benslama, A., Bernal Neira, D., & Rouabah, M. (2024). Ground State Energy Estimation on Current Quantum Hardware Through The Variational Quantum Eigensolver: A Comprehensive Study. arXiv preprint arXiv:2412.02606.
9. Dutta, S., de Freitas, I., Xavier, P., de Farias, C., & Bernal Neira, D. (2024). Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources. arXiv preprint arXiv:2411.16737.
10. Bhatia, A. & Bernal Neira, D. (2024). Federated learning with tensor networks: a quantum AI framework for healthcare. Machine Learning: Science and Technology.
11. Bhatia, A. & Bernal Neira, D. (2024). Quantum Federated Learning-Based Collaborative Manufacturing. 2024 AIChE Annual Meeting.
12. Bernal Neira, D. (2024). Purdue Center for Operations and Optimization in Process Systems. 2024 AIChE Annual Meeting.
13. Lin, A., Mansouri, S., Bernal Neira, D., & Ding, Y. (2024). The Revolution Before the Revolution: Technology Leadership in Quantum Computing. 2024 AIChE Annual Meeting.
14. Dutta, S., Karanth, P., Xavier, P., de Freitas, I., Innan, N., Yahia, S., Shafique, M., & Bernal Neira, D. (2024). Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML. arXiv preprint arXiv:2409.11430.
15. Chatterjee, A., Rappaport, S., Giri, A., Johri, S., Proctor, T., Bernal Neira, D., Sathe, P., & Lubinski, T. (2024). A comprehensive cross-model framework for benchmarking the performance of quantum hamiltonian simulations. arXiv preprint arXiv:2409.06919.
16. Maciejewski, F., Bach, B., Dupont, M., Lott, P., Sundar, B., Bernal Neira, D., Safro, I., & Venturelli, D. (2024). A Multilevel Approach For Solving Large-Scale QUBO Problems With Noisy Hybrid Quantum Approximate Optimization. arXiv preprint arXiv:2408.07793.
17. Peng, Z., Lee, A., & Bernal Neira, D. (2024). Addressing Discrete Dynamic Optimization via a Logic-Based Discrete-Steepest Descent Algorithm. arXiv preprint arXiv:2409.09237.
18. Peng, Z., Xavier, P., & Bernal Neira, D. (2024). Hybrid Quantum Branch-and-Bound Method for Quadratic Unconstrained Binary Optimization. 2024 AIChE Annual Meeting.
19. Linan Romero, D., Lee, A., Bernal Neira, D., & Ricardez-Sandoval, L. (2024). A Combinatorial Bender’s Cuts Approach for Cost Minimization of Network Scheduling Problems with Mixed-Integer and Mixed-Integer Nonlinear Applications. 2024 AIChE Annual Meeting.
20. Tristán, C., Lee, A., Peng, Z., & Bernal Neira, D. (2024). GDPLib: An Open Library of Generalized Disjunctive Programming Problems and Solution Method Benchmarking. 2024 AIChE Annual Meeting.
21. Bernal Neira, D. (2024). Generalized Disjunctive Programming: A Trip Down Memory Lane from Development, Extensions, and Future Perspectives. 2024 AIChE Annual Meeting.
22. Sorourifar, F., Bernal Neira, D., Paulson, J., Tubman, N., Chamaki, D., & Gustafson, E. (2024). Bayesian Optimization-Aided Ground-State Molecular Calculation in Current Quantum Computers. 2024 AIChE Annual Meeting.
23. Tristán, C., Fallanza, M., Ibañez, R., Grossmann, I., & Bernal Neira, D. (2024). Improving Sustainability in the Water Sector with Reverse Electrodialysis Optimization for Renewable Electricity Generation from Salinity Gradients. 2024 AIChE Annual Meeting.
24. Sorourifar, F., Rouabah, M., Belaloui, N., Louamri, M., Chamaki, D., Gustafson, E., Tubman, N., Paulson, J., & Neira, D. (2024). Towards Efficient Quantum Computation of Molecular Ground State Energies using Bayesian Optimization with Priors over Surface Topology. arXiv preprint arXiv:2407.07963.
25. Xavier, P., Ripper, P., Pulsipher, J., Garcia, J., Maculan, N., & Bernal Neira, D. (2024). Disjunctive Programming meets QUBO. Computer Aided Chemical Engineering.
26. Cabeza, A., Orjuela, A., & Bernal Neira, D. (2024). Analysis of Calcium Citrate Salts as Raw Material for Tributyl Citrate Bio-Plasticizer Production: Kinetic Modeling, Process Simulation, and Optimization. Computer Aided Chemical Engineering.
27. Sorourifar, F., Chamaki, D., Tubman, N., Paulson, J., & Bernal Neira, D. (2024). Bayesian Optimization Priors for Efficient Variational Quantum Algorithms. Computer Aided Chemical Engineering.
28. Wang, J., Peng, Z., Hughes, R., Bhattacharyya, D., Bernal Neira, D., & Dowling, A. (2024). Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements. arXiv preprint arXiv:2406.09557.
29. Rieffel, E., Asanjan, A., Alam, M., Anand, N., Bernal Neira, D., Block, S., Brady, L., Cotton, S., Izquierdo, Z., & Grabbe, S. (2024). Assessing and advancing the potential of quantum computing: A NASA case study. Future Generation Computer Systems.
30. Tristán, C., Fallanza, M., Ibáñez, R., Grossmann, I., & Bernal Neira, D. (2024). Global Optimization via Quadratic Disjunctive Programming for Water Networks Design with Energy Recovery. Proceedings of the 34th European Symposium on Computer Aided Process Engineering.
31. Bernal Neira, D. & Grossmann, I. (2024). Convex mixed-integer nonlinear programs derived from generalized disjunctive programming using cones. Computational Optimization and Applications.
32. Bhatia, A. & Bernal Neira, D. (2024). Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare. arXiv preprint arXiv:2405.07735.
33. Ovalle, D., Liñán, D., Lee, A., Gómez, J., Ricardez-Sandoval, L., Grossmann, I., & Bernal Neira, D. (2024). Logic-Based Discrete-Steepest Descent: A Solution Method for Process Synthesis Generalized Disjunctive Programs. arXiv preprint arXiv:2405.05358.
34. Dupont, M., Sundar, B., Evert, B., Bernal Neira, D., Peng, Z., Jeffrey, S., & Hodson, M. (2024). Quantum Optimization for the Maximum Cut Problem on a Superconducting Quantum Computer. arXiv preprint arXiv:2404.17579.
35. Kerger, P., Bernal Neira, D., Izquierdo, Z., & Rieffel, E. (2024). Classical and Quantum Distributed Algorithms for the Survivable Network Design Problem. arXiv preprint arXiv:2404.10748.
36. Gustafson, E., Tiihonen, J., Chamaki, D., Sorourifar, F., Mullinax, J., Li, A., Maciejewski, F., Sawaya, N., Krogel, J., & Bernal Neira, D. (2024). Surrogate optimization of variational quantum circuits. arXiv preprint arXiv:2404.02951.
37. Bernal Neira, D., Brown, R., Sathe, P., Wudarski, F., Pavone, M., Rieffel, E., & Venturelli, D. (2024). Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications. arXiv preprint arXiv:2402.10255.
38. Bernal Neira, D., Laird, C., Lueg, L., Harwood, S., Trenev, D., & Venturelli, D. (2024). Utilizing modern computer architectures to solve mathematical optimization problems: A survey. Computers & Chemical Engineering.
39. Peng, Z., Cao, K., Furman, K., Li, C., Grossmann, I., & Bernal Neira, D. (2024). A Convexification-Based Outer-Approximation Method for Convex and Nonconvex MINLP. .
40. Brown, R., Venturelli, D., Pavone, M., & Bernal Neira, D. (2024). Accelerating Continuous Variable Coherent Ising Machines via Momentum. arXiv preprint arXiv:2401.12135.
41. Chamaki, D., Mullinax, W., Bernal Neira, D., Tubman, N., Klymko, K., Sorourifar, F., Velury, S., Hadfield, S., Hamilton, K., & Rotskoff, G. (2024). A Look at the Truths and Misconceptions of the Variational Quantum Eigensolver and the Implications of Overparameterization. American Physical Society's (APS) March Meeting.
42. Bernal Neira, D., Kerger, P., & Rieffel, E. (2024). Classical and Quantum Distributed Algorithms for the Survivable Network Design Problem. APS March Meeting Abstracts.
43. Gustafson, E., Tiihonen, J., Chamaki, D., Sorourifar, F., Mullinax, J., Li, A., Maciejewski, F., Sawaya, N., Krogel, J., & Bernal Neira, D. (2024). Surrogate Optimization for Quantum Circuits. American Physical Society's (APS) March Meeting.
44. Sorourifar, F., Chamaki, D., Tubman, N., Paulson, J., & Bernal Neira, D. (2023). The Quantum Gaussian Process: Specialized Gaussian Process Modifications for Efficient Quantum-Classical Optimization. 2023 AIChE Annual Meeting.
45. Peng, Z., Bernal Neira, D., & Grossmann, I. (2023). Mindtpy: The Mixed-Integer Nonlinear Decomposition Toolbox in Pyomo. 2023 AIChE Annual Meeting.
46. Rieffel, E. (2023). A NASA Perspective on Quantum Computing, with Emphasis on Recent Results in Distributed Computing. Quantum. Tech.
47. Kerger, P., Bernal Neira, D., Izquierdo, Z., & Rieffel, E. (2023). Quantum Distributed Algorithms for Approximate Steiner Trees and Directed Minimum Spanning Trees. 2023 IEEE International Conference on Quantum Computing and Engineering (QCE).
48. Kerger, P., Rieffel, E., & Bernal Neira, D. (2023). Quantum-Accelerated Distributed Algorithms for Approximate Steiner Trees and Directed Minimum Spanning Trees. American Physical Society's March Meeting.
49. Bernal Neira, D. (2023). Discrete Nonlinear Optimization: Modeling and Solutions Via Novel Hardware and Decomposition Algorithms. 2023 AIChE Annual Meeting.
50. Bernal Neira, D., Rieffel, E., & Kerger, P. (2023). Quantum-Accelerated Distributed Algorithms for Approximate Steiner Trees and Directed Minimum Spanning Trees. APS March Meeting Abstracts.
51. Kerger, P., Bernal Neira, D., Gonzalez Izquierdo, Z., & Rieffel, E. (2023). Mind the o: Asymptotically better, but still impractical, quantum distributed algorithms. Algorithms.
52. Sathe, P., Lubinski, T., Coffrin, C., Apanavicius, J., McGeoch, C., & Bernal Neira, D. (2023). Characteristics of Optimization Applications as Quantum Performance Benchmarks. APS March Meeting Abstracts.
53. 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.
54. 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.
55. Kerger, P., Bernal Neira, D., Izquierdo, Z., & Rieffel, E. (2023). Asymptotically Faster Quantum Distributed Algorithms for Approximate Steiner Trees and Directed Minimum Spanning Trees. arXiv preprint arXiv:2304.02825.
56. Sawaya, N., Marti-Dafcik, D., Ho, Y., Tabor, D., Bernal Neira, D., Magann, A., Premaratne, S., Dubey, P., Matsuura, A., & Bishop, N. (2023). HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware. 2023 IEEE International Conference on Quantum Computing and Engineering (QCE).
57. 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.
58. Su, L., Bernal, D., Grossmann, I., & Tang, L. (2023). Modeling for integrated refinery planning with crude-oil scheduling. Chemical Engineering Research and Design.
59. Xavier, P., Ripper, P., Andrade, T., Garcia, J., & Neira, D. (2022). ToQUBO. jl. URL http://dx. doi. org/10.5281/zenodo.
60. Bernal Neira, D. (2022). Coherent simulation with thousands of qubits. Nature Physics.
61. Rieffel, E. (2022). Distributed Quantum Computing for Network Problems and Other Selected Topics. Quantum Computing and Operations Research.
62. Chaimanowong, W. & Cisternas, F. (2022). Profit Maximization Through Shelf Design Optimization. Profit Maximization Through Shelf Design Optimization: Chaimanowong, Wee| uCisternas, Francisco.
63. Neira, D., Brown, R., Venturelli, D., Wudarski, F., & Rieffel, E. (2022). Benchmarking the operation of quantum heuristics and ising machines: Scoring parameter setting strategies on real world optimization applications. Workshop on Quantum Computing and Operations Research.
64. Brown, R., Bernal Neira, D., Venturelli, D., & Pavone, M. (2022). A copositive framework for analysis of hybrid ising-classical algorithms. arXiv preprint arXiv:2207.13630.
65. 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.
66. 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.
67. Bernal, D., Peng, Z., Kronqvist, J., & Grossmann, I. (2022). Alternative regularizations for Outer-Approximation algorithms for convex MINLP. Journal of Global Optimization.
68. Bernal, D., Ajagekar, A., Harwood, S., Stober, S., Trenev, D., & You, F. (2022). Perspectives of quantum computing for chemical engineering. AIChE Journal.
69. Quintero, R., Bernal, D., Terlaky, T., & Zuluaga, L. (2022). Characterization of QUBO reformulations for the maximum k-colorable subgraph problem. Quantum Information Processing.
70. 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.
71. Bernal, D., Tayur, S., & Venturelli, D. (2021). Quantum Integer Programming: An Open-Access Practical Guide and Toolkit for Novel Computational Paradigms for Optimization. 2021 AIChE Annual Meeting.
72. Bernal, D., Peng, Z., Kronqvist, J., & Grossmann, I. (2021). Alternative Regularization Schemes in Outer-Approximation Algorithms for Convex MINLP. 2021 AIChE Annual Meeting.
73. Pedrozo, A., Reartes, S., Bernal, D., Vecchietti, A., Diaz, M., & Grossmann, I. (2021). Optimal Synthesis and Heat Integration Using Generalized Disjunctive Programming with Hybrid Models. 2021 AIChE Annual Meeting.
74. 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.
75. Bernal Neira, D. (2021). Modern Computational Approaches to Nonlinear Discrete Optimization and Applications in Process Systems Engineering. .
76. Bernal Neira, D. & Grossmann, I. (2021). Convex mixed-integer nonlinear programs derived from generalized disjunctive programming using cones. arXiv preprint arXiv:2109.09657.
77. 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.
78. 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.
79. 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.
80. 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.
81. Bernal, D. & Grossmann, I. (2020). Use of Quantum Computing to Solve Optimization Problems in Process Systems Engineering. 2020 Virtual AIChE Annual Meeting.
82. 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.
83. Bernal, D. (2020). Modern Computational Approaches to Nonlinear Discrete Optimization and Their Application to Process Systems Engineering. 2020 Virtual AIChE Annual Meeting.
84. Bernal, D., Tayur, S., & Venturelli, D. (2020). Quantum integer programming (QuIP) 47-779: lecture notes. arXiv preprint arXiv:2012.11382.
85. 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.
86. 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.
87. 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.
88. 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.
89. 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.
90. Kronqvist, J., Bernal, D., & Grossmann, I. (2020). Using regularization and second order information in outer approximation for convex MINLP. Mathematical Programming.
91. Bernal, D. & Grossmann, I. (2019). Easily Solvable Convex Mixed-Integer Nonlinear Programs Derived from Generalized Disjunctive Programming Using Cones. 2019 AIChE Annual Meeting.
92. 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.
93. 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.
94. 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.
95. Kronqvist, J., Bernal, D., Lundell, A., & Grossmann, I. (2019). A review and comparison of solvers for convex MINLP. Optimization and Engineering.
96. 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.
97. 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.
98. Yang, H., Bernal, D., & Grossmann, I. (2018). Integration of Crude-Oil Scheduling and Refinery Planning By Lagrangean Decomposition Approach. 2018 AIChE Annual Meeting.
99. Bernal, D., Su, L., Tang, L., & Grossmann, I. (2018). Quadratic Cut Decomposition Method for Convex Mixed-Integer Nonlinear Programs. 2018 AIChE Annual Meeting.
100. 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.
101. 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.
102. Bernal, D., Chen, Q., Gong, F., & Grossmann, I. (2018). Mixed-integer nonlinear decomposition toolbox for Pyomo (MindtPy). Computer Aided Chemical Engineering.
103. Su, L., Tang, L., Bernal, D., & Grossmann, I. (2018). Improved quadratic cuts for convex mixed-integer nonlinear programs. Computers & Chemical Engineering.
104. Singer, Q., Ball, C., Cannon, J., Leisman, L., Haynes, M., Adams, E., Bernal Neira, D., Giovanelli, R., Hallenbeck, G., & Janesh, W. (2017). " Almost Darks": HI Mapping and Optical Analysis. American Astronomical Society... meeting.
105. HALLENBECK, G., JÓZSA, G., ADAMS, E., BERNAL 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.
106. Kronqvist, J., Bernal, D., & Grossmann, I. (2017). A Level-Based Quadratic Outer Approximation Algorithm for Convex MINLP. 2017 AIChE Annual Meeting.
107. 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.
108. Leisman, L., Haynes, M., Janowiecki, S., Hallenbeck, G., Józsa, G., Giovanelli, R., Adams, E., Bernal Neira, D., Cannon, J., & Janesh, W. (2017). (Almost) Dark Galaxies in the ALFALFA Survey: Isolated H i-bearing Ultra-diffuse Galaxies. The Astrophysical Journal.
109. Bernal Neira, D. (2016). Optimal design and control of a catalytic distillation column-case study: Ethyl tert-butyl ether (ETBE) synthesis column. .
110. Neira, D. (2016). Acotando las velocidades tangenciales de las galaxias satélites de Andrómeda utilizando optimización no lineal. .
111. 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. .
112. Tristán, C. & Neira, D. (). Optimizing Reverse Electrodialysis Design and Operation for Renewable Electricity Generation from Salinity Gradients. 2025 AIChE Annual Meeting.
113. Cabeza, A., Flórez, J., & Neira, D. (). Supply Chain Optimization in the Collection of Used Cooking Oil. 2025 AIChE Annual Meeting.
114. Xavier, P. & Neira, D. (). Qubo. Jl: A Julia Ecosystem to Equip Proces Systems Engineering with Novel Optimization Paradigms. 2025 AIChE Annual Meeting.
115. Ramesh, A. & Neira, D. (). Practical Framework for Assessing Performance of Quantum Simulation of Physical and Chemical Systems. 2025 AIChE Annual Meeting.
116. Xavier, P., Ramesh, A., & Neira, D. (). Quantum Optimization Benchmark Library. 2025 AIChE Annual Meeting.
117. Peng, Z., Cao, K., Furman, K., Li, C., Grossmann, I., & Neira, D. (). Enhanced Outer-Approximation Methods for MINLP via Convexification and Bound Tightening. .
118. Bernal, D., Laird, C., Harwood, S., Trenev, D., & Venturelli, D. (). Impact of Emerging Computing Architectures and Opportunities for Process Systems Engineering Applications. .
119. Kerger, P., Bernal Neira, D., Izquierdo, Z., & Rieffel, E. (). Mind the $\tilde {\mathcal {O}} $: Asymptotically Better, but Still Impractical, Quantum Distributed Algorithms. .
120. Lubinski, T., Coffrin, C., McGeoch, C., Sathe, P., Apanavicius, J., & Bernal Neira, D. (). Optimization applications as quantum performance benchmarks (2023). .
121. Brown, R., Bernal, D., Sahasrabudhe, A., Lott, A., Venturelli, D., & Pavone, M. (). Copositive optimization via Ising solvers. .

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