Surface passivation optimization using DIRECT. - Peter A. Graf; Kwiseon Kim; Wesley B. Jones; Lin-Wang Wang (J. Comput. Phys., 2007)

A projection based multiscale optimization method for eigenvalue problems. - Peter A. Graf; Wesley B. Jones (J. Glob. Optim., 2007)

Expressing high-throughput data in a restructurable, integrated form for knowledge extraction. - Daniel Korytina; Peter A. Graf; Roger King; Wesley B. Jones (IKE, 2008)

Ad Hoc Structured Search over Complex, High-Throughput Data Sets, Expressed in a Restructurable, Integrated Form. - Daniel Korytina; Kenneth M. Anderson; Peter A. Graf; Wesley B. Jones; Glenn Murray (IKE, 2009)

A note on the virtual crystal approach to alloy optimization. - Peter A. Graf; Wesley B. Jones; Kwiseon Kim (J. Comput. Phys., 2009)

Kinetic modeling and exploratory numerical simulation of chloroplastic starch degradation. - Ambarish Nag; Monte Lunacek; Peter A. Graf; Christopher H. Chang (BMC Syst. Biol., 2011)

Simulation, Characterization, and Optimization of Metabolic Models with the High Performance Systems Biology Toolkit. - Monte Lunacek; Ambarish Nag; David M. Alber; Kenny Gruchalla; Christopher H. Chang; Peter A. Graf (SIAM J. Sci. Comput., 2011)

Derivative-Free Optimization of Expensive Functions with Computational Error Using Weighted Regression. - Stephen C. Billups; Jeffrey Larson 001; Peter A. Graf (SIAM J. Optim., 2013)

MDTri: robust and efficient global mixed integer search of spaces of multiple ternary alloys. - Peter A. Graf; Stephen C. Billups (Comput. Optim. Appl., 2017)

Distributed Reinforcement Learning with ADMM-RL. - Peter A. Graf; Jennifer Annoni; Christopher J. Bay; David Biagioni; Devon Sigler; Monte Lunacek; Wesley B. Jones (ACC, 2019)

Learning-Accelerated ADMM for Distributed Optimal Power Flow. - Dave Biagioni; Peter A. Graf; Xiangyu Zhang 010; Jennifer King (CoRR, 2019)

Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM. - Xiangyu Zhang 010; Dave Biagioni; Peter A. Graf; Jennifer King (ISGT, 2020)

On the Computational Viability of Quantum Optimization for PMU Placement. - Eric B. Jones; Eliot Kapit; Chin-Yao Chang; David Biagioni; Deepthi Vaidhynathan; Peter A. Graf; Wesley B. Jones (CoRR, 2020)

K-spin Hamiltonian for quantum-resolvable Markov decision processes. - Eric B. Jones; Peter A. Graf; Eliot Kapit; Wesley B. Jones (Quantum Mach. Intell., 2020)

Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search. - Xiangyu Zhang 010; Rohit Chintala; Andrey Bernstein; Peter A. Graf; Xin Jin 016 (ACC, 2021)

A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment. - Yi Hou; Xiangyu Zhang 010; Peter A. Graf; Charles Edison Tripp; David Biagioni (ITSC, 2021)

Decentralized Cooperative Lane Changing at Freeway Weaving Areas Using Multi-Agent Deep Reinforcement Learning. - Yi Hou; Peter A. Graf (CoRR, 2021)

A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters. - David J. Biagioni; Xiangyu Zhang 010; Peter A. Graf; Devon Sigler; Wesley B. Jones (CoRR, 2021)

A Segregated Approach for Modeling the Electrochemistry in the 3-D Microstructure of Li-Ion Batteries and Its Acceleration Using Block Preconditioners. - Jeffery M. Allen; Justin Chang 001; Francois L. E. Usseglio-Viretta; Peter A. Graf; Kandler A. Smith (J. Sci. Comput., 2021)

An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning. - Xiangyu Zhang 010; Dave Biagioni; Mengmeng Cai; Peter A. Graf; Saifur Rahman 001 (IEEE Trans. Smart Grid, 2021)

Exploring the scaling limitations of the variational quantum eigensolver with the bond dissociation of hydride diatomic molecules. - Jacob M. Clary; Eric B. Jones; Derek Vigil-Fowler; Christopher Chang; Peter A. Graf (CoRR, 2022)

From Model-Based to Model-Free: Learning Building Control for Demand Response. - David Biagioni; Xiangyu Zhang 010; Christiane Adcock; Michael N. Sinner; Peter A. Graf; Jennifer King (CoRR, 2022)

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. - David Biagioni; Peter A. Graf; Xiangyu Zhang 010; Ahmed S. Zamzam; Kyri Baker; Jennifer King (IEEE Control. Syst. Lett., 2022)

A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem. - Erotokritos Skordilis; Yi Hou; Charles Edison Tripp; Matthew Moniot; Peter A. Graf; David Biagioni (IEEE Trans. Intell. Transp. Syst., 2022)

Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control. - Xiangyu Zhang 010; Yue Chen; Andrey Bernstein; Rohit Chintala; Peter A. Graf; Xin Jin 016; David Biagioni (IEEE Trans. Smart Grid, 2022)

Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches. - David Biagioni; Xiangyu Zhang 010; Christiane Adcock; Michael N. Sinner; Peter A. Graf; Jennifer King (Eng. Appl. Artif. Intell., 2024)