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David 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 - [i7]Robin A. Brown, Davide Venturelli, Marco Pavone, David Esteban Bernal Neira:
Accelerating Continuous Variable Coherent Ising Machines via Momentum. CoRR abs/2401.12135 (2024) - [i6]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) - [i5]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) - [i4]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) - [i3]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) - 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 2024-08-23 18:32 CEST by the dblp team
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