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Darya A. Anufrieva

Observed names: Anufrieva DA, Anufrieva Darya, Anufrieva, Darya, D A Anufrieva, D. A. Anufrieva, Darya A Anufrieva, Darya Anufrieva, Д.А. Ануфриева, Дарья Ануфриева
Observed institution: Chuvash State University
ORCID: 0000-0003-4860-3460
Observed ORCID: 0000-0003-4860-3460
OpenAlex ID: A5066377671
Prediction of Detonation Velocity and N−O Composition of High Energy C−H−N−O Explosives by Means of Artificial Neural Networks
2019 · Nichith Chandrasekaran, Charlie Oommen, et al. · Propellants Explosives Pyrotechnics · 62
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Burning Rate Prediction of Solid Rocket Propellant (SRP) with High-Energy Materials Genome (HEMG)
2023 · Weiqiang Pang, Victor Abrukov, et al. · Crystals · 14
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The Application of Energetic Materials Genome Approach for Development of the Solid Propellants Through the Space Debris Recycling at the Space Platform
2020 · Amrith Mariappan, Hanlim Choi, et al. · AIAA Propulsion and Energy Forum · 11
Recent Advancements in Study of Effects of Nano Micro Additives on Solid Propellants Combustion by Means of the Data Science Methods
2019 · Victor S. Abrukov, Alexander N. Lukin, et al. · Defence Science Journal · 11
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Genome Approach and Data Science Methods for Accelerated Discovery of New Solid Propellants with Desired Properties
2020 · Victor S Abrukov, Alexander N. Lukin, et al. · AIAA Propulsion and Energy Forum · 8
Development of the Multifactorial Computational Models of the Solid Propellants Combustion by Means of Data Science Methods – Phase II
2018 · Victor S Abrukov, Alexander N. Lukin, et al. · AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit · 7
Development of the Multifactorial Computational Models of the Solid Propellants Combustion by Means of Data Science Methods –Phase III
2019 · Victor S. Abrukov, Alexander N. Lukin, et al. · AIAA Propulsion and Energy Forum · 6
Neural networks are a methodological basis of materials genome
2023 · Victor S Abrukov, Weiqiang Pang, et al. · Trends in Computer Science and Information Technology · 5
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Methodology for Studying Combustion of Solid Rocket Propellants using Artificial Neural Networks
2024 · Abrukov Victor, Pang Weiqiang, et al. · Annals of Advances in Chemistry · 4
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Knowledge-based system is a goal and a tool for basic and applied research
2015 · Victor Abrukov, Valery Kochakov, et al. · International Conference on Application of Information and Communication Technologies · 4
Neural Networks in the Development of High‐energy Materials Genome
2026 · Victor S. Abrukov, Weiqiang Pang, et al. · Wiley eBooks · 3
Intelligent System for Forecasting of the Solar Power Plants Work
2017 · V. S. Abrukov, V. D. Kochakov, et al. · Alternative Energy and Ecology (ISJAEE) · 3
Application of a Cascade of Neural Networks to Determine the Characteristics of Detonation of High-energy Materials - Применение Каскада Нейронных Сетей Для Определения Характеристик Детонации Высокоэнергетических Материалов
2026 · Виктор Абруков, Ouyang Di-Hua, et al. · 1
Correction: Pang et al. Burning Rate Prediction of Solid Rocket Propellant (SRP) with High-Energy Materials Genome (HEMG). Crystals 2023, 13, 237
2024 · Weiqiang Pang, Victor Abrukov, et al. · Crystals · 1
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Development of the Multifactor Computational Models of the Solid Propellants Combustion by Means of Data Science Methods. Propellant Combustion Genome Conception
2020 · Victor Abrukov, Darya Anufrieva, et al. · MATEC Web of Conferences · 1
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Application of sequential neural network approach for direct and inverse problems in energetic materials decomposition temperature prediction
2026 · Thomas M. Klapötke, Victor Abrukov, et al. · Journal of Energetic Materials
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Leveraging Neural Networks for Experimental and Computational Research of Combustion and Detonation
2026 · Victor Abrukov, Darya Anufrieva, et al.
ИИ в медицине.pdf
2026 · V. S. Abrukov, D A Anufrieva
Neural Networks and PSOC-иллюстрации-презентация.pdf
2026 · V. S. Abrukov, D A Anufrieva
AI in Medicine-2026 -tutorial course
2026 · V S Abrukov, D A Anufrieva
Application of cascade neural networks for modeling and forecasting the characteristics of energy-yielding materials
2026 · Darya A. Anufrieva, Sergey S. Kuzmin, et al. · Vestnik Chuvashskogo universiteta
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A New Method for Determining the Pressure Dependence of the Power-Law Burning-Rate Parameters and Its Significance
2026 · Anufrieva, Darya, Abrukov, Victor S, et al.
Нейронные Сети В Разработке Генома Высокоэнергетических Материалов, А Также Решении Задач Коктейля Катализаторов И Сорбции
2026 · Abrukov, Victor S, Ouyang Di-Hua, et al.
A New Method for Determining a Pressure Dependence of the Combustion Power-Law Parameters of High-Energetic Materials and for Analysing the Combustion Mechanism
2025 · Anufrieva, Darya, Abrukov, Viktor, et al.
Neural Network Calculator of Rubber Characteristics with Improved Properties
2023 · Abrukov VS, Konnova KA, et al. · Annals of Advances in Chemistry
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Works count: 37
Citation count: 143
H-index: 6
I10-index: 4
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