Stochastic Finite Volume Method for Uncertainty Quantification of Transient Flow in Gas Pipeline Networks. - Svetlana Tokareva; Anatoly Zlotnik; Vitaliy Gyrya (CoRR, 2022)

Implicit-explicit Runge-Kutta for radiation hydrodynamics I: gray diffusion. - Ben S. Southworth; Ryosuke Park; Svetlana Tokareva; Marc Charest (CoRR, 2023)

Stochastic Finite Volume Method for Uncertainty Management in Gas Pipeline Network Flows. - Saif R. Kazi; Sidhant Misra; Svetlana Tokareva; Kaarthik Sundar; Anatoly Zlotnik (CDC, 2024)

Stochastic Active Discretizations for Accelerating Temporal Uncertainty Management of Gas Pipeline Loads. - Jake J. Harmon; Svetlana Tokareva; Anatoly Zlotnik (CoRR, 2024)

The Tensor-Train Stochastic Finite Volume Method for Uncertainty Quantification. - Steven Walton 003; Svetlana Tokareva; Gianmarco Manzini (CoRR, 2024)

Implicit-explicit Runge-Kutta for radiation hydrodynamics I: Gray diffusion. - Ben S. Southworth; Hyeongkae Park; Svetlana Tokareva; Marc Charest (J. Comput. Phys., 2024)

Setpoint Tracking and Disturbance Attenuation for Gas Pipeline Flow Subject to Uncertainties using Backstepping. - Bhathiya Rathnayake; Anatoly Zlotnik; Svetlana Tokareva; Mamadou Diagne (ACC, 2025)

The tensor-train stochastic finite volume method for uncertainty quantification. - Steven Walton 002; Svetlana Tokareva; Gianmarco Manzini (J. Comput. Phys., 2025)

Adaptive Uncertainty Quantification for Stochastic Hyperbolic Conservation Laws. - Jake J. Harmon; Svetlana Tokareva; Anatoly Zlotnik; Pieter J. Swart (SIAM/ASA J. Uncertain. Quantification, 2025)

Model order reduction techniques for the stochastic finite volume method. - Ray Qu; Jesse Chan; Svetlana Tokareva (CoRR, 2025)