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Теоретические и вычислительные подходы к предсказанию вязкости жидкостей
Успехи физических наук. 2023. Т. 193. № 4. С. 437–461.
Predictive models for the shear viscosity of liquids and gases together with the exact equations of state have a great importance for the problems of hydrodynamic modeling of processes occurring in nature, industrial plants and mechanisms. This review aims to consider the currently proposed theoretical, including atomistic modeling, and empirical approaches for predicting the viscosity of liquids, gases and their mixtures in a wide range of thermodynamic conditions. We analyse the viscosity models of homogeneous liquids that are thermodynamically stable. The dynamics of supercooled and glassy liquids, dispersed systems (colloids, emulsions) remains beyond the scope of this review. We discuss the range of applicability of correlation methods for predicting viscosity and the accuracy of various methods at the pressures up to 1 GPa. The application examples of various approaches for hydrocarbons - model oil and gas, fuel and lubrication systems are given. The reported study was funded by RFBR, project number 20-18-50214.
Budkov Y., Journal of Chemical Physics 2026 Vol. 165 No. 12 Article 124105
Exact theories of electrolyte structure must satisfy the nonlocal constraints imposed by electrostatic screening, yet these constraints are most commonly formulated only for homogeneous bulk systems and at the level of two-point correlations. Here, we develop a unified field-theoretic framework that extends them to general inhomogeneous ionic fluids and nonlinear charge correlations. Using a standard ...
Added: September 22, 2026
Боровицкая И. В., Пименов В. Н., Коршунов С. Н. et al., Перспективные материалы 2026 № 10 С. 37–54
Проведено сравнение, обобщение и систематизация механизмов эрозии и разрушения
поверхности малоактивируемых материалов, перспективных для использования в
качестве материалов вакуумной камеры термоядерных реакторов: ванадия, его сплава
V – 10 Ti – 6 Cr – 0,05 Zr – 0,1 Si и вольфрама при последовательном воздействии на
них ионных и тепловых потоков. Тепловые потоки имитировали с помощью мощного
импульсного лазерного излучения (ЛИ), создаваемого ...
Added: September 22, 2026
Iontsev M.A., Mukhin S. I., Fistul M. V., Physical Review B: Condensed Matter and Materials Physics 2016 Vol. 94 No. 17 P. 174–510
We report a theoretical study of the ac response of superconducting quantum metamaterials (SQMs), i.e., an array of qubits (two-level systems) embedded in a low-dissipative resonator. By making use of a particular example of a SQM, namely the array of charge qubits capacitively coupled to the resonator, we obtain a second-order phase transition between an ...
Added: September 22, 2026
Maddalena L., Yildiz B., Del Vecchio Blanco F. et al., Risk Analysis 2026 Vol. 46 No. 4 P. 1–26
Heated tobacco products (HTPs) are marketed as alternatives to conventional cigarettes with a potential reduced risk profile. Yet, their actual impact on cancer and noncancer disease risk remains uncertain and requires rigorous quantitative assessment. In this study, we develop a unified and transparent computational framework for toxicological risk assessment of HTPs, integrating chemical emissions data ...
Added: September 22, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 855–862
Tasks related to the automation of medical data processing are becoming more urgent. Particular attention is paid to systems for monitoring and analyzing human physiological parameters. Such systems often use specialized sensors to capture biomedical images, such as infrared cameras. This article describes our study of the problem of segmenting the eye pupil and iris ...
Added: September 21, 2026
Aleksei Samarin, Nazarenko A., Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 844–854
Improving image quality is becoming an increasingly popular task, especially when working with mobile devices. One common approach to image enhancement is the use of convolutional neural networks. However, to achieve good results, such networks must be large enough, otherwise there is a risk of unwanted artifacts. In addition, large convolutional neural networks require significant ...
Added: September 21, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Optical Memory and Neural Networks (Information Optics) 2024 Vol. 33 P. 424–434
This study explores the development of classifiers for microbial images, specifically focusing on streptococci captured via microscopy of live samples. Our approach uses AutoML-based techniques and automates the creation and analysis of feature spaces to produce optimal descriptors for classifying these microscopic images. This technique leverages interpretable taxonomic features based on the external geometric attributes ...
Added: September 21, 2026
Aleksei Samarin, Aleksei Toropov, Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 4 P. 1053–1060
This paper presents a novel approach to classification in biomedical imaging, specifically targeting polyp recognition in video endoscopy snapshots. Our method leverages specialized image descriptors to enhance the accuracy and robustness of polyp recognition. By employing these specialized descriptors, we address the challenges inherent in analyzing biomedical images from open datasets. Our approach not only ...
Added: September 21, 2026
Самарин А. В., Торопов А. Г., Савельев А. Г. et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 4 P. 1044–1052
This paper presents a study aimed at improving the detection quality of small-sized microorganisms under challenging microscopic conditions through the application of a lightweight combined image preprocessing model. We focused on the task of detecting diplococci in images obtained through dynamic sample microscopy. The proposed approach employs predefined filters for image preprocessing, combined with the ...
Added: September 21, 2026
Singapore: Springer Singapore, 2025.
Added: September 21, 2026
Tomat A., Sergei O. Kuznetsov, International Journal of Approximate Reasoning 2026 Vol. 197 Article 109754
Interval Pattern Structures (IPS) provide a natural way to represent local, human-readable explanations for predictions on numerical data through vectors of intervals interpreted as axis-parallel hyper-rectangles. In this paper, we develop and evaluate an IPS-based k-nearest neighbors classifier, IPS-KNN, that explains each prediction through a single local interval description rather than through the aggregation of ...
Added: September 21, 2026
Aleksei Samarin, Nazarenko A., Kotenko E. et al., / Series arXiv "math". 2025. No. 2511.20141.
This paper presents a novel approach to neural network compression that addresses redundancy at both the filter and architectural levels through a unified framework grounded in information flow analysis. Building on the concept of tensor flow divergence, which quantifies how information is transformed across network layers, we develop a two-stage optimization process. The first stage ...
Added: September 21, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2025 Vol. 35 No. 2 P. 169–178
This study explores the incorporation of specialized self-attention mechanisms into deep learning architectures, with a particular emphasis on segmenting human iris and pupil regions in infrared images. In this work, we present some modified versions of nonlocal blocks designed to enhance self-attentive properties while addressing the distinct characteristics of infrared imaging data. By applying these customized ...
Added: September 21, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Journal of Imaging 2025 Vol. 11 No. 10 Article 359
Timely identification and accurate delineation of ultra-early ischemic stroke lesions in non-contrast computed tomography (CT) scans of the human brain are of paramount importance for prompt medical intervention and improved patient outcomes. In this study, we propose a deep learning-driven methodology specifically designed for segmenting ultra-early ischemic regions, with a particular emphasis on both the ...
Added: September 21, 2026
Springer, Cham, 2025.
Added: September 21, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Journal of Imaging 2025 Vol. 11 No. 6 P. 1–20
This study presents a unified low-parameter approach to multi-class classification of microorganisms (micrococci, diplococci, streptococci, and bacilli) based on automated machine learning. The method is designed to produce interpretable taxonomic descriptors through analysis of the external geometric characteristics of microorganisms, including cell shape, colony organization, and dynamic behavior in unfixed microscopic scenes. A key advantage ...
Added: September 21, 2026
Shilov A. L., Elesin L., Kravtsov M. et al., Nature Communications 2026 Vol. 17 No. 1 Article 9734
Identifying the microscopic processes limiting conductivity is essential for understanding correlated quantum materials. In twisted bilayer graphene, metallic resistivity follows ρ ~ Tα with widely varying α, fueling competing interpretations from phonon-limited transport and umklapp scattering to strange metallicity and heavy-fermion renormalization. Here, we use terahertz excitation to selectively heat electrons while keeping the lattice cold, separating ...
Added: September 20, 2026
Leon L. Ogorodnikov, Sergey S. Vergeles, Physical Review Fluids 2025 Vol. 10 No. 12 Article 124702
We study the spatial dependence of pair correlation functions of velocity field com ponents in a rotating turbulent fluid on a background of a coherent geostrophic vortex. The statistics of the turbulent pulsations are determined by their dynamics, which is the dynamics of inertial waves affected by the differential rotation in the vortex and a ...
Added: February 24, 2026
Grechishnikova A., Трофимчук Е. С., Егоров А. А. et al., Перспективные материалы 2025 № 11 С. 17–28
Composite gels based on polyvinylpyrrolidone (PVP) and alginate (Alg) with carbonate hydroxyapatite (CHA) were obtained. Their kinematic and dynamic viscosities were measured. It has been shown that the introduction of CHA in an amount of up to 40 % by weight of polymers leads to a decrease in kinematic viscosity, and the introduction of 50 ...
Added: November 26, 2025
Yury A. Budkov, Nikolai N. Kalikin, Petr E. Brandyshev, Journal of Chemical Physics 2025 Vol. 163 No. 2 Article 024502
Accurately describing liquids and their mixtures beyond equilibrium remains a significant challenge in modern chemical physics and physical chemistry, especially regarding the calculation of transport properties in liquid-phase systems. This paper introduces a phenomenological nonequilibrium theory specifically designed for multicomponent liquid-phase solutions. Our field-theoretical framework, rooted in nonequilibrium statistical mechanics, incorporates quasi-stationary concentration fluctuations that ...
Added: July 8, 2025
Блинова Е. Н., Sherbakova O., Психологический журнал 2024 Т. 45 № 5 С. 34–44
In this article, we analyze the state-of-the-art in international research on comprehension of texts of new formats. We describe the concept of “multimedia text”, which is widely accepted in literature, as well as discuss its alternatives. Also, we thoroughly describe key theoretical models, such as the Cognitive Theory of Multimedia Learning and the Integrated Model ...
Added: February 28, 2025
Блинова Е. Н., Sherbakova O., Психологический журнал 2024 Т. 45 № 4 С. 16–28
In this article, we review a range of Russian-language studies investigating readers’ interaction with
new text formats. We identify the key problems preventing proper generalization of such research data. These
include: (1) the absence of agreed terminology for describing texts of new formats shared by most researchers,
and (2) the lack of consistency in theoretical approaches for describing ...
Added: February 28, 2025
Odintsova E., Darya L. Gurina, Kruchinin S. E. et al., Industrial & Engineering Chemistry Research 2025 Vol. 64 No. 6 P. 3531–3543
The ability to predict transport properties, such as viscosity, through molecular simulation is a valuable advantage. Obtaining reliable estimates for these properties can be more challenging compared to equilibrium properties. Our manuscript focuses on an in-depth discussion of two prominent methods for predicting transport properties: equilibrium molecular dynamics (EMD) using the Green−Kubo approach and nonequilibrium ...
Added: February 5, 2025
Konshina A., Bocharov E., Konovalova E. et al., International Journal of Molecular Sciences (Швейцария) 2024 Vol. 25 No. 21 Article 11370
Non-immunoglobulin-based scaffold proteins (SPs) represent one of the key therapeutic
target-specific and high-affinity binders in modern medicine. Among their cellular targets are signaling
receptors, in particular, receptor tyrosine kinases, whose dysfunction leads to the development
of cancer and other serious diseases. Successful applications of SPs have been reported for
HER receptor type 2 (HER2), a member of the human ...
Added: December 9, 2024