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ORCIDDavid E. Bernal
Person information
- affiliation: Universities Space Research Association (USRA), Research Institute for Advanced Computer Science (RIACS), Moffett Federal Airfield, CA, USA
- affiliation (former, PhD): Carnegie Mellon University, Department of Chemical Engineering, Pittsburgh, PA, USA
- affiliation (former): NASA Ames Research Center, Quantum AI Lab (QuAIL), Moffett Field, CA, USA
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2020 – today
- 2024
[j18]David E. Bernal Neira, Carl D. Laird, Laurens Lueg
, Stuart M. Harwood, Dimitar Trenev, Davide Venturelli:
Utilizing modern computer architectures to solve mathematical optimization problems: A survey. Comput. Chem. Eng. 184: 108627 (2024)- [j17]Jialu Wang, Zedong Peng, Ryan Hughes, Debangsu Bhattacharyya, David E. Bernal Neira, Alexander W. Dowling:
Measure this, not that: Optimizing the cost and model-based information content of measurements. Comput. Chem. Eng. 189: 108786 (2024) - [j16]David Esteban Bernal Neira, Ignacio E. Grossmann:
Convex mixed-integer nonlinear programs derived from generalized disjunctive programming using cones. Comput. Optim. Appl. 88(1): 251-312 (2024) - [j15]Eleanor Gilbert Rieffel, Ata Akbari Asanjan, M. Sohaib Alam, Namit Anand, David E. Bernal Neira, Sophie Block, Lucas T. Brady, Steve Cotton, Zoe Gonzalez Izquierdo, Shon Grabbe, Erik Gustafson, Stuart Hadfield, P. Aaron Lott, Filip B. Maciejewski, Salvatore Mandrà, Jeffrey Marshall, Gianni Mossi, Humberto Munoz Bauza, Jason Saied, Nishchay Suri, Davide Venturelli, Zhihui Wang, Rupak Biswas:
Assessing and advancing the potential of quantum computing: A NASA case study. Future Gener. Comput. Syst. 160: 598-618 (2024) - [j14]Robin A. Brown, David Esteban Bernal Neira, Davide Venturelli, Marco Pavone:
A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms. SIAM J. Optim. 34(2): 1455-1489 (2024) - [c4]Robin A. Brown, Davide Venturelli, Marco Pavone, David E. Bernal Neira:
Accelerating Continuous Variable Coherent Ising Machines via Momentum. CPAIOR (1) 2024: 109-126 - [i8]Robin A. Brown, Davide Venturelli, Marco Pavone, David Esteban Bernal Neira:
Accelerating Continuous Variable Coherent Ising Machines via Momentum. CoRR abs/2401.12135 (2024) - [i7]David Esteban Bernal Neira, Robin A. Brown, Pratik Sathe, Filip A. Wudarski, Marco Pavone, Eleanor Gilbert Rieffel, Davide Venturelli:
Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications. CoRR abs/2402.10255 (2024) - [i6]Phillip A. Kerger, David E. Bernal Neira, Zoe Gonzalez Izquierdo, Eleanor Gilbert Rieffel:
Classical and Quantum Distributed Algorithms for the Survivable Network Design Problem. CoRR abs/2404.10748 (2024) - [i5]Amandeep Singh Bhatia, David E. Bernal Neira:
Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare. CoRR abs/2405.07735 (2024) - [i4]Jialu Wang, Zedong Peng, Ryan Hughes, Debangsu Bhattacharyya, David E. Bernal Neira, Alexander W. Dowling:
Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements. CoRR abs/2406.09557 (2024) - [i3]Siddhant Dutta, Pavana P. Karanth, Pedro Maciel Xavier, Iago Leal de Freitas, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique, David E. Bernal Neira:
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML. CoRR abs/2409.11430 (2024) - 2023
- [j13]Phillip A. Kerger, David Esteban Bernal Neira, Zoe Gonzalez Izquierdo, Eleanor Gilbert Rieffel:
Mind the O˜: Asymptotically Better, but Still Impractical, Quantum Distributed Algorithms. Algorithms 16(7): 332 (2023) - [c3]Nicolas P. D. Sawaya, Daniel Marti-Dafcik, Yang Ho, Daniel P. Tabor, David Esteban Bernal Neira, Alicia B. Magann, Shavindra P. Premaratne, Pradeep Dubey, Anne Y. Matsuura, Nathan Bishop, Wibe A. de Jong, Simon Benjamin, Ojas D. Parekh, Norm M. Tubman, Katherine Klymko, Daan Camps:
HamLib: A Library of Hamiltonians for Benchmarking Quantum Algorithms and Hardware. QCE 2023: 389-390 - [c2]Phillip A. Kerger, David Esteban Bernal Neira, Zoe Gonzalez Izquierdo, Eleanor Gilbert Rieffel:
Quantum Distributed Algorithms for Approximate Steiner Trees and Directed Minimum Spanning Trees. QCE 2023: 1249-1259 - [i2]Phillip A. Kerger, David Esteban Bernal Neira, Zoe Gonzalez Izquierdo, Eleanor Gilbert Rieffel:
Asymptotically Faster Quantum Distributed Algorithms for Approximate Steiner Trees and Directed Minimum Spanning Trees. CoRR abs/2304.02825 (2023) - 2022
- [j12]David E. Bernal, Zedong Peng, Jan Kronqvist, Ignacio E. Grossmann:
Alternative regularizations for Outer-Approximation algorithms for convex MINLP. J. Glob. Optim. 84(4): 807-842 (2022) - [j11]Rodolfo Quintero, David E. Bernal, Tamás Terlaky, Luis F. Zuluaga:
Characterization of QUBO reformulations for the maximum k-colorable subgraph problem. Quantum Inf. Process. 21(3): 89 (2022) - [i1]Robin A. Brown, David Esteban Bernal Neira, Davide Venturelli, Marco Pavone:
Copositive programming for mixed-binary quadratic optimization via Ising solvers. CoRR abs/2207.13630 (2022) - 2021
- [j10]Hector Alejandro Pedrozo, Sabrina Belen Rodriguez Reartes, David E. Bernal, Aldo R. Vecchietti, María Soledad Díaz, Ignacio E. Grossmann:
Hybrid model generation for superstructure optimization with Generalized Disjunctive Programming. Comput. Chem. Eng. 154: 107473 (2021) - 2020
- [j9]David A. Liñán, David E. Bernal, Luis A. Ricardez-Sandoval, Jorge Mario Gómez:
Optimal design of superstructures for placing units and streams with multiple and ordered available locations. Part I: A new mathematical framework. Comput. Chem. Eng. 137: 106794 (2020) - [j8]Haokun Yang, David E. Bernal, Robert E. Franzoi, Faramroze G. Engineer, Kysang Kwon, Sechan Lee, Ignacio E. Grossmann:
Integration of crude-oil scheduling and refinery planning by Lagrangean Decomposition. Comput. Chem. Eng. 138: 106812 (2020) - [j7]David A. Liñán, David E. Bernal, Luis A. Ricardez-Sandoval, Jorge Mario Gómez:
Optimal design of superstructures for placing units and streams with multiple and ordered available locations. Part II: Rigorous design of catalytic distillation columns. Comput. Chem. Eng. 139: 106845 (2020) - [j6]Teemu J. Ikonen, Hossein Mostafaei, Yixin Ye, David E. Bernal, Ignacio E. Grossmann, Iiro Harjunkoski:
Large-scale selective maintenance optimization using bathtub-shaped failure rates. Comput. Chem. Eng. 139: 106876 (2020) - [j5]Jan Kronqvist, David E. Bernal, Ignacio E. Grossmann:
Using regularization and second order information in outer approximation for convex MINLP. Math. Program. 180(1): 285-310 (2020) - [j4]David E. Bernal, Stefan Vigerske, Francisco Trespalacios, Ignacio E. Grossmann:
Improving the performance of DICOPT in convex MINLP problems using a feasibility pump. Optim. Methods Softw. 35(1): 171-190 (2020) - [c1]David E. Bernal, Kyle E. C. Booth, Raouf Dridi, Hedayat Alghassi, Sridhar R. Tayur, Davide Venturelli:
Integer Programming Techniques for Minor-Embedding in Quantum Annealers. CPAIOR 2020: 112-129
2010 – 2019
- 2019
- [j3]Jan Kronqvist, David E. Bernal, Andreas Lundell, Tapio Westerlund:
A center-cut algorithm for quickly obtaining feasible solutions and solving convex MINLP problems. Comput. Chem. Eng. 122: 105-113 (2019) - [j2]Cristiana L. Lara, David E. Bernal, Can Li, Ignacio E. Grossmann:
Global optimization algorithm for multi-period design and planning of centralized and distributed manufacturing networks. Comput. Chem. Eng. 127: 295-310 (2019) - 2018
- [j1]Lijie Su, Lixin Tang, David E. Bernal, Ignacio E. Grossmann:
Improved quadratic cuts for convex mixed-integer nonlinear programs. Comput. Chem. Eng. 109: 77-95 (2018)
Coauthor Index
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last updated on 2024-10-22 20:13 CEST by the dblp team
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