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Farshud Sorourifar
标题
引用次数
引用次数
年份
Integrated multiscale design, market participation, and replacement strategies for battery energy storage systems
F Sorourifar, VM Zavala, AW Dowling
IEEE Transactions on Sustainable Energy 11 (1), 84-92, 2018
572018
A data-driven automatic tuning method for MPC under uncertainty using constrained Bayesian optimization
F Sorourifar, G Makrygirgos, A Mesbah, JA Paulson
IFAC-PapersOnLine 54 (3), 243-250, 2021
502021
Physics-Enhanced neural ordinary differential equations: Application to industrial chemical reaction systems
F Sorourifar, Y Peng, I Castillo, L Bui, J Venegas, JA Paulson
Industrial & Engineering Chemistry Research 62 (38), 15563-15577, 2023
122023
Computationally efficient integrated design and predictive control of flexible energy systems using multi‐fidelity simulation‐based Bayesian optimization
F Sorourifar, N Choksi, JA Paulson
Optimal Control Applications and Methods 44 (2), 549-576, 2023
122023
Efficient multi-step lookahead Bayesian optimization with local search constraints
JA Paulson, F Sorouifar, A Chakrabarty
2022 IEEE 61st Conference on Decision and Control (CDC), 123-129, 2022
112022
A tutorial on derivative-free policy learning methods for interpretable controller representations
JA Paulson, F Sorourifar, A Mesbah
2023 American Control Conference (ACC), 1295-1306, 2023
102023
Constrained robust Bayesian optimization of expensive noisy black‐box functions with guaranteed regret bounds
A Kudva, F Sorourifar, JA Paulson
AIChE Journal 68 (12), e17857, 2022
92022
Efficient robust global optimization for simulation-based problems using decomposed Gaussian processes: Application to MPC calibration
A Kudva, F Sorouifar, JA Paulson
2022 American Control Conference (ACC), 2091-2097, 2022
62022
LSR-BO: Local search region constrained Bayesian optimization for performance optimization of vapor compression systems
JA Paulson, F Sorouifar, CR Laughman, A Chakrabarty
2023 American Control Conference (ACC), 576-582, 2023
52023
Predicting the Solubility of Organic Energy Storage Materials Based on Functional Group Identity and Substitution Pattern
MR Tuttle, EM Brackman, F Sorourifar, J Paulson, S Zhang
The Journal of Physical Chemistry Letters 14 (5), 1318-1325, 2023
32023
Accelerating Black-Box Molecular Property Optimization by Adaptively Learning Sparse Subspaces
F Sorourifar, T Banker, JA Paulson
arXiv preprint arXiv:2401.01398, 2024
12024
Bayesian Optimization Priors for Efficient Variational Quantum Algorithms
F Sorourifar, D Chamaki, NM Tubman, J Paulson, DEB Neira
Computer Aided Chemical Engineering 53, 3379-3384, 2024
12024
Self-optimizing vapor compression cycles online with Bayesian optimization under local search region constraints
JA Paulson, F Sorouifar, CR Laughman, A Chakrabarty
J. Dyn. Sys., Meas., Control., 2023
12023
Towards Efficient Quantum Computation of Molecular Ground State Energies using Bayesian Optimization with Priors over Surface Topology
F Sorourifar, MT Rouabah, NE Belaloui, MM Louamri, D Chamaki, ...
arXiv preprint arXiv:2407.07963, 2024
2024
Surrogate optimization of variational quantum circuits
EJ Gustafson, J Tiihonen, D Chamaki, F Sorourifar, JW Mullinax, ACY Li, ...
arXiv preprint arXiv:2404.02951, 2024
2024
Surrogate Optimization for Quantum Circuits
E Gustafson, J Tiihonen, D Chamaki, F Sorourifar, JW Mullinax, ACY Li, ...
American Physical Society's (APS) March Meeting, 2024
2024
A Look at the Truths and Misconceptions of the Variational Quantum Eigensolver and the Implications of Overparameterization
D Chamaki, W Mullinax, DEB Neira, N Tubman, K Klymko, F Sorourifar, ...
American Physical Society's (APS) March Meeting, 2024
2024
The Quantum Gaussian Process: Specialized Gaussian Process Modifications for Efficient Quantum-Classical Optimization
F Sorourifar, D Chamaki, N Tubman, J Paulson, DEB Neira
2023 AIChE Annual Meeting, 2023
2023
High-Dimensional Bayesian Optimization of Molecular Properties Using Quantitative Structure-Property Relationships on Sparse Axis-Aligned Subspaces
F Sorourifar, T Banker, J Paulson
2023 AIChE Annual Meeting, 2023
2023
A Compressed Sensing Framework for Learning Interpretable Molecular Property Models from Limited Data: Application to Discovery of Sustainable Battery Materials
F Sorourifar, M Muthyala, J Paulson
2023 AIChE Annual Meeting, 2023
2023
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