Computer Simulation of Endothermic Decomposition of High-Energy Substances CxHyNmOn. Substance Composition Optimization. - Vadim M. Volokhov; Alexander V. Volokhov; Dmitry Varlamov; Elena S. Amosova; Tatyana S. Zyubina; Pavel Toktaliev; Sergey Martynenko (RuSCDays, 2019)

A Full Order, Reduced Order and Machine Learning Model Pipeline for Efficient Prediction of Reactive Flows. - Pavel Gavrilenko; Bernard Haasdonk; Oleg Iliev 001; Mario Ohlberger; Felix Schindler; Pavel Toktaliev; Tizian Wenzel; Maha Youssef (LSSC, 2021)

Parallelization of Robust Multigrid Technique Using OpenMP Technology. - Sergey Martynenko; Weixing Zhou; Iskender Gökalp; Vladimir A. Bakhtin; Pavel Toktaliev (PaCT, 2021)

On a workflow for efficient computation of the permeability of tight sandstones. - Vladislav Pimanov; Vladislav Lukoshkin; Pavel Toktaliev; Oleg Iliev 001; Ekaterina A. Muravleva; Denis M. Orlov; Vladislav Krutko; Alexander Avdonin; Konrad Steiner; Dmitry A. Koroteev (CoRR, 2022)

On the Performance of Machine Learning Methods for Breakthrough Curve Prediction. - Daria Fokina; Oleg Iliev 001; Pavel Toktaliev; Ivan V. Oseledets; Felix Schindler (CoRR, 2022)

Machine learning methods for prediction of breakthrough curves in reactive porous media. - Daria Fokina; Pavel Toktaliev; Oleg Iliev 001; Ivan V. Oseledets (CoRR, 2023)

Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data. - Robin Herkert; Patrick Buchfink; Tizian Wenzel; Bernard Haasdonk; Pavel Toktaliev; Oleg Iliev 001 (CoRR, 2024)