1k citations
- Los Alamos National LaboratoryUS7 papers
- Massachusetts Institute of TechnologyUS6 papers
- Sandia National LaboratoriesUS5 papers
- Technion – Israel Institute of TechnologyIL5 papers
- University of ChicagoUS5 papers
- IBM Research - AlmadenUS4 papers
- IBM Research - ZurichCH4 papers
- IBM (United States)US4 papers
- Princeton UniversityUS4 papers
- University of Wisconsin–MadisonUS4 papers
- Lawrence Berkeley National LaboratoryUS3 papers
- University of California, Los AngelesUS3 papers
95 papers
Computing normalized Nash equilibria for generalized Nash games with nonconvex players
Stuart M. Harwood, Dimitri J. Papageorgiou
Generalized Nash equilibrium (GNE) is a solution concept for complete information games, in which each player's objective function and feasible region depend on other players' acti…
Decarbonization pathways for liquid fuels: A multi-sector energy system perspective
Jun Wen Law, Bryan K. Mignone, Dharik S. Mallapragada
Low-carbon liquid fuels play a key role in energy system decarbonization scenarios. This study uses a multi-sector capacity expansion model of the contiguous United States to exami…
Adiabatic state preparation from general initial states
Bryce Fuller, Mario Motta, Stuart M. Harwood +4
A variety of quantum computing algorithms exist for the preparation of approximate Hamiltonian ground states. A natural and important question is how these ground-state approximati…
Benchmarking CO Storage Simulations: Results from the 11th Society of Petroleum Engineers Comparative Solution Project
Jan M. Nordbotten, Martin A. Fernø, Bernd Flemisch +40
The 11th Society of Petroleum Engineers Comparative Solution Project (shortened SPE11 herein) benchmarked simulation tools for geological carbon dioxide (CO) storage. A total o…
SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems
Asha Ramanujam, Adam Elyoumi, Hao Chen +5
Most existing safe reinforcement learning (RL) benchmarks focus on robotics and control tasks, offering limited relevance to high-stakes domains that involve structured constraints…
A Digital Twin Simulator of a Pastillation Process with Applications to Automatic Control based on Computer Vision
Leonardo D. González, Joshua L. Pulsipher, Shengli Jiang +2
We present a digital-twin simulator for a pastillation process. The simulation framework produces realistic thermal image data of the process that is used to train computer vision-…