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1
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Lisitsa V.
, Vishnevsky D.
, Yakovlev I.
, Dubrovina V.
Use of Multi-GPU Architecture for Real-Life Seismic Modeling
Lecture Notes in Computer Science. 2026.
V.16196. P.185-198. DOI: 10.1007/978-3-032-13127-0_14
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2
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Prokhorov D.
, Lisitsa V.
Parallel Approaches for Numerical Simulation of the Two-Phase Flow at Pore-Scale
Lecture Notes in Computer Science. 2026.
P.3-17. DOI: 10.1007/978-3-032-13127-0_1
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3
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Gondyul E.
, Lisitsa V.
, Vishnevsky D.
Seismic Monitoring of Greenhouse Gases via Neural Network
Lecture Notes in Computer Science. 2026.
V.16196. P.395-407. DOI: 10.1007/978-3-032-13127-0_28
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4
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Гондюл Е.А.
, Лисица В.В.
, Вишневский Д.М.
Ускорение численного моделирования сейсмических данных для мониторинга захоронения CO2 с использованием нейронной сети
Вычислительные методы и программирование (Numerical methods and programming). 2025.
Т.26. №4. С.465-478. DOI: 10.26089/nummet.v26r431
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5
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Манаев А.А.
, Лисица В.В.
Спектральный предобуславливатель для решения уравнения Пуассона
Вычислительные методы и программирование (Numerical methods and programming). 2025.
Т.26. №2. С.111-128. DOI: 10.26089/nummet.v26r208
РИНЦ
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6
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Chekmeneva E.
, Khachova T.
, Lisitsa V.
Machine Learning-Based Preconditioner to Solve Poisson Equation
In compilation
Computational Science and Its Applications (ICCSA 2025 Workshops) : Proceedings.
– Springer Cham.,
2025.
– Т.Part III. – C.376-387. – ISBN 978-3-031-97596-7. DOI: 10.1007/978-3-031-97596-7_25
Scopus
OpenAlex
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7
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Khachkova T.
, Lisitsa V.
, Krutko V.
, Avdonin A.
Constructing Dependence of Electrical Parameters on Porosity and Water Saturation for Digital Models of High-Permeability Rock Samples
In compilation
Computational Science and Its Applications (ICCSA 2025 Workshops) : Proceedings.
– Springer Cham.,
2025.
– Т.Part III. – C.419-432. – ISBN 978-3-031-97596-7. DOI: 10.1007/978-3-031-97596-7_28
Scopus
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8
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Solovyev S.
, Lisitsa V.
Spectral Decomposition to Solve the Elasticity Problem in Quasi-static Formulation
In compilation
Computational Science and Its Applications (ICCSA 2025 Workshops) : Proceedings.
– Springer Cham.,
2025.
– Т.Part III. – C.343-358. – ISBN 978-3-031-97596-7. DOI: 10.1007/978-3-031-97596-7_23
Scopus
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9
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Lisitsa V.
, Manaev A.
, Solovyev S.
Implementation of the Spectral Preconditioner to Solve Poisson Equation
In compilation
Computational Science and Its Applications (ICCSA 2025 Workshops) : Proceedings.
– Springer Cham.,
2025.
– Т.Part III. – C.388-401. – ISBN 978-3-031-97596-7. DOI: 10.1007/978-3-031-97596-7_26
Scopus
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10
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Chepelenkova V.D.
, Prokhorov D.I.
, Lisitsa V.V.
Multi-GPU Implementation of the Numerical Algorithm Enhancing Discrete Element Modeling Performance
In compilation
Computational Science and Its Applications (ICCSA 2025 Workshops) : Proceedings.
– Springer Cham.,
2025.
– Т.Part III. – C.317-329. – ISBN 978-3-031-97596-7. DOI: 10.1007/978-3-031-97596-7_21
Scopus
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11
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Gondyul E.
, Lisitsa V.
, Vishnevsky D.
Monitoring CO2 in Seismic Data Using Neural Network
In compilation
Computational Science and Its Applications (ICCSA 2025 Workshops) : Proceedings.
– Springer Cham.,
2025.
– Т.Part III. – C.330-342. – ISBN 978-3-031-97596-7. DOI: 10.1007/978-3-031-97596-7_22
Scopus
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12
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Хачкова Т.С.
, Лисица В.В.
Численная оценка показателя насыщения по результатам моделирования дренажа и пропитки в цифровом образце горной породы
Геофизика. 2025.
№4. С.55-61. DOI: 10.34926/geo.2025.4725.007
РИНЦ
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13
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Gondyul E.
, Lisitsa V.
, Gadylshin K.
, Vishnevsky D.
Numerical dispersion mitigation neural network with velocity model correction
Computers and Geosciences. 2025.
V.196. 105806
:1-12. DOI: 10.1016/j.cageo.2024.105806
WOS
Scopus
РИНЦ
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14
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Манаев А.А.
, Хачкова Т.С.
, Лисица В.В.
Численный алгоритм оценки параметра пористости образцов горных пород
Вычислительные методы и программирование (Numerical methods and programming). 2025.
Т.26. №4. С.479-501. DOI: 10.26089/nummet.v26r432
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15
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Chepelenkova V.D.
, Lisitsa V.V.
, Gondyul E.A.
Implementation of the Algorithm Using Hybrid Computing Systems to Simulate Porous Materials Fracturing with Discrete Element Method
Lobachevskii Journal of Mathematics. 2025.
V.46. N8. P.3628–3636. DOI: 10.1134/S1995080225609117
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16
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Solovyev S.A.
, Lisitsa V.V.
Numerical Solution of Biot Poroelastic Equations in Quasi-Static State Using Shared Memory Systems
Lobachevskii Journal of Mathematics. 2025.
V.46. N8. P.3845–3855. DOI: 10.1134/S1995080225609592
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17
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Solovyev S.
, Lisitsa V.
Solve the Quasi-static Biot Problem on Shared Memory Systems with Various Processors
In compilation
Computational Science and Its Applications – ICCSA 2024 Workshops
Hanoi, Vietnam, July 1–4, 2024, Proceedings.
– Springer Nature.,
2024.
– Т.Part III. – C.305-320. – ISBN 978-3-031-65238-7. DOI: 10.1007/978-3-031-65238-7_21
WOS
Scopus
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18
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Khachkova T.S.
, Lisitsa V.V.
, Gondul E.A.
, Prokhorov D.I.
, Kostin V.I.
Two-phase flow simulation algorithm for numerical estimation of relative phase permeability curves of porous materials
Russian Journal of Numerical Analysis and Mathematical Modelling. 2024.
V.39. N4. P.209-221. DOI: 10.1515/rnam-2024-0020
WOS
Scopus
РИНЦ
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19
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Gadylshin K.
, Gondyul E.
, Lisitsa V.
, Gadylshina K.
, Vishnevsky D.
Mitigation of numerical dispersion in seismic data in spectral domain with neural networks
Soil Dynamics and Earthquake Engineering. 2024.
V.187. 109028
:1-15. DOI: 10.1016/j.soildyn.2024.109028
WOS
Scopus
РИНЦ
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20
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Гондюл Е.А.
, Лисица В.В.
, Гадыльшин К.Г.
, Вишневский Д.М.
Оптимизация тренировочного набора данных для подавляющей численную дисперсию нейронной сети NDM-NET
Вычислительные методы и программирование (Numerical methods and programming). 2024.
Т.25. №2. С.155-174. DOI: 10.26089/NumMet.v25r213
РИНЦ
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