Socratis Petrides

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Computationally Expensive

Mesh Refinement

Reinforcement Learning

Stochastic Optimization

Top Venues

Comput. Math. Appl.

J. Comput. Phys.

Publications

Stefan Henneking, Socratis Petrides, Federico Fuentes, Jacob C. Badger, Leszek F. Demkowicz
$hp\mathrm{3D}$: A Scalable MPI/OpenMP $hp$-Adaptive Finite Element Software Library for Complex Multiphysics Applications. J. Open Source Softw. 9 (96) (2024)
Julian Andrej, Nabil M. Atallah, Jan-Phillip Bäcker, John Camier, Dylan Copeland, Veselin Dobrev, Yohann Dudouit, Tobias Duswald, Brendan Keith, Dohyun Kim, Tzanio V. Kolev, Boyan Lazarov, Ketan Mittal, Will Pazner, Socratis Petrides, Syun'ichi Shiraiwa, Mark Stowell, Vladimir Z. Tomov
High-performance finite elements with MFEM. CoRR (2024)
Tobias Duswald, Brendan Keith, Boyan Lazarov, Socratis Petrides, Barbara I. Wohlmuth
Finite elements for Matérn-type random fields: Uncertainty in computational mechanics and design optimization. CoRR (2024)
Andrew Gillette, Brendan Keith, Socratis Petrides
Learning Robust Marking Policies for Adaptive Mesh Refinement. SIAM J. Sci. Comput. 46 (1) (2024)
Tarik Dzanic, Ketan Mittal, DoHyun Kim, J. Yang, Socratis Petrides, Brendan Keith, Robert W. Anderson
DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws. J. Comput. Phys. 506 (2024)
Jacob Badger, Stefan Henneking, Socratis Petrides, Leszek F. Demkowicz
Scalable DPG Multigrid Solver for Helmholtz Problems: A Study on Convergence. CoRR (2023)
Tarik Dzanic, Ketan Mittal, Dohyun Kim, Jiachen Yang, Socratis Petrides, Brendan Keith, Robert W. Anderson
DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws. CoRR (2023)
Raghu Bollapragada, Cem Karamanli, Brendan Keith, Boyan Lazarov, Socratis Petrides, Jingyi Wang
An adaptive sampling augmented Lagrangian method for stochastic optimization with deterministic constraints. Comput. Math. Appl. 149 (2023)
Jacob Badger, Stefan Henneking, Socratis Petrides, Leszek F. Demkowicz
Scalable DPG multigrid solver for Helmholtz problems: A study on convergence. Comput. Math. Appl. 148 (2023)
Jiachen Yang, Ketan Mittal, Tarik Dzanic, Socratis Petrides, Brendan Keith, Brenden K. Petersen, Daniel M. Faissol, Robert W. Anderson
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement. AAMAS (2023)
Andrew Gillette, Brendan Keith, Socratis Petrides
Learning robust marking policies for adaptive mesh refinement. CoRR (2022)
Jiachen Yang, Ketan Mittal, Tarik Dzanic, Socratis Petrides, Brendan Keith, Brenden K. Petersen, Daniel M. Faissol, Robert W. Anderson
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement. CoRR (2022)
Socratis Petrides, Leszek F. Demkowicz
An adaptive multigrid solver for DPG methods with applications in linear acoustics and electromagnetics. Comput. Math. Appl. 87 (2021)
Socratis Petrides, Leszek F. Demkowicz
An adaptive multigrid solver for DPG methods with applications in linear acoustics and electromagnetics. CoRR (2020)
Sriram Nagaraj, Jacob Grosek, Socratis Petrides, Leszek F. Demkowicz, Jaime Mora
A 3D DPG Maxwell approach to nonlinear Raman gain in fiber laser amplifiers. J. Comput. Phys. X 2 (2019)
Sriram Nagaraj, Socratis Petrides, Leszek F. Demkowicz
Construction of DPG Fortin operators for second order problems. Comput. Math. Appl. 74 (8) (2017)
Socratis Petrides, Leszek F. Demkowicz
An adaptive DPG method for high frequency time-harmonic wave propagation problems. Comput. Math. Appl. 74 (8) (2017)