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Оптимизация физико-информированных нейронных сетей для решения нелинейного уравнения Шредингера
Бурдонов И. Б., Evtushenko N. V., Косачев А. С. et al., Труды Института системного программирования РАН 2025 Т. 37 № 5 С. 7–32
Статья является продолжением предыдущей статьи авторов, в которой строится абстрактная модель распределенной сети, содержащей только хосты и коммутаторы. Хосты предлагают пользователям пакеты определенных услуг (сервисов), сообщения (запросы) между хостами пересылаются через промежуточные узлы по правилам коммутации, и настройка узлов определяет множество путей от хоста к хосту, по которым будут пересылаться пакеты. Ситуация моделируется с использованием ...
Added: October 30, 2026
Бурдонов И. Б., Evtushenko N. V., Косачев А. С. et al., Труды Института системного программирования РАН 2025 Т. 37 № 4-1 С. 7–30
В работе строится абстрактная модель распределенной сети, содержащей только хосты и коммутаторы, которая позволяет оценить классы задач, которые необходимо решать в такой сети, принимая во внимание, в том числе, нефункциональные параметры. Предполагается, что хосты предлагают пакеты определенных услуг (сервисов) и сообщения (запросы) между хостами пересылаются через промежуточные узлы по правилам коммутации. Правило определяет, каким соседним ...
Added: October 30, 2026
Бурдонов И. Б., Evtushenko N. V., Косачев А. С., PROGRAMMING AND COMPUTER SOFTWARE 2025 Vol. 51 No. 4 P. 224–241
In this paper, the problem of distributed network survivability is investigated. A distributed system is modeled by a finite connected undirected graph the nodes of which are divided into two types: hosts and switches. Hosts perform computational functions, while switches are used for message passing between hosts. The survivability of the system is understood as ...
Added: October 30, 2026
Бурдонов И. Б., Evtushenko N. V., Косачев А. С., Программирование 2025 № 4 С. 11–32
Исследуется проблема живучести распределенных сетей. Распределенная система моделируется конечным связным неориентированным графом, вершины которого делятся на два типа: хосты и коммутаторы. Хосты выполняют вычислительные функции, а коммутаторы обеспечивают доставку сообщений между хостами. Под живучестью системы понимается ее способность выполнять свои основные функции по передаче сообщений после выхода из строя некоторых ребер графа. Решение проблемы живучести ...
Added: October 30, 2026
M.: Pleiades Publishing, Ltd. (Плеадес Паблишинг, Лтд), 2025.
Programming and Computer Software is a peer-reviewed journal devoted to various problems in all areas of computer science: operating systems, compiler technology, software engineering, artificial intelligence, etc. The journal publishes original manuscripts submitted in English, as well as works translated from several other journals. The sources of content are indicated at the article level. The ...
Added: October 30, 2026
Karminsky A. M., Chernikov B. V., М.: НИЦ Инфра-М, 2026.
Рассмотрены методологические вопросы создания финансово-экономических информационных систем, проблемы информатизации производственной и дистрибьютерской деятельности, темы адаптации типовых систем в бизнес-структурах, в том числе систем поддержки офисной деятельности. Для студентов учреждений среднего профессионального образования, обучающихся по укрупненным группам специальностей 09.02.00 «Информатика и вычислительная техника», 38.02.00 «Экономика и управление», экономистов, юристов, предпринимателей и финансистов, а также специалистов и ...
Added: October 30, 2026
Guerreiro I., Sergey Skorokhod, di Volo M. et al., Communications in Nonlinear Science and Numerical Simulation 2027 Vol. 164 Article 110954
The collective dynamics of spiking networks of neurons has been of central interest to both computational
neuroscience and network science. Over the past years, a new generation of neural
population models based on exact reductions (ER) of spiking networks have been developed.
However, most of these efforts have been limited to networks of neurons with simple dynamics
(e.g. the ...
Added: October 29, 2026
Association for Computational Linguistics, 2026.
While Large Language Models (LLMs) have revolutionized NLP, they remain prone to hallucinations, reasoning “mode-collapse” in open-ended generation, and a lack of factual provenance. The Automated Knowledge Base Construction (AKBC) workshop addresses a key missing piece of the generative era: structured knowledge. Knowledge Bases (KBs) serve as ground truth for fact verification, the semantic backbone ...
Added: October 28, 2026
Nikitiuk B., Lenev D., Pisarev V. et al., Journal of Colloid and Interface Science 2026 Vol. 718 Article 140444
Hypothesis:Accurate determination of interfacial tension values is crucial for many modeling applications in the oil and gas industry. However, many of the presently used empirical and theoretical models show poor prediction accuracy and do not allow for direct consideration of the concentrations of gases and salts dissolved in the system as well as the specific ...
Added: October 28, 2026
Deshchenya V., Nikolay D. Kondratyuk, Sivakova A. et al., Chemical Engineering Sciences 2027 Vol. 337 Article 124616
Accurate prediction of complex formulation viscosity is crucial for the lubricant industry and engineering processes. However, developing generalizable models remains challenging due to the complexity of industrial mixtures and the scarcity of public experimental data, often resulting from corporate proprietary restrictions. This study presents a machine-learning workflow for viscosity estimation from a proprietary pseudonymized dataset, ...
Added: October 28, 2026
Zubov A., Zubov A., Малявко, Я. et al., Computer Physics Communications 2025 Vol. 317 Article 109860
The concept of representative volume (REV, or RVE in material sciences) is the cornerstone of continuum scale models – one needs to get the volume big enough so that it could be represented with an averaged value (scalar, vector or tensorial, etc.). While REV should be established in all larger scale simulations, this is rarely ...
Added: October 28, 2026
Kagan M., / Series Series "arxiv org" 2610.31805 "cond-mat other "arxiv org" 2610.31805". 2026. No. 2610.31805.
Abstract The low-energy plasmonic properties of a free-standing Au (111) monolayer, frequently referred to as goldene, are investigated by time-dependent density functional theory in the random phase approximation. In the evaluation of dielectric and loss functions, the first-principle, band structure characterized by a single s − p energy band at the Fermi level is taken ...
Added: October 27, 2026
Roman Prosvirnin, Suslov A., Aleksei Soldatov et al., Computation 2026 Vol. 14 No. 10 Article 261
Abstract
Safety-aligned language models often encode that a request is harmful yet still comply with it. We turn this gap between internal recognition and observable behavior into an inference-time defense. The proposed activation-steering method uses a multiplicative operator that amplifies the residual-stream component along a harm-recognition direction. Intervention strength scales with the model’s own assessment of ...
Added: October 27, 2026
Aleksei Samarin, Nazarenko A., Nazarenko D. et al., Big Data and Cognitive Computing 2026 Vol. 10 No. 11 P. 1–52
Camera traps are a key tool for non-invasive wildlife monitoring, yet models trained on existing benchmarks often generalize poorly to new regions due to domain shift, class imbalance, and natural variability in illumination, season, and background. We introduce PACTraD, a benchmark of 116,973 annotated camera trap images collected in a protected area of the Baikal ...
Added: October 27, 2026
Budkov Y., Annals of Physics 2026 Vol. 495 No. 3 Article 170796
We study the density-matrix kinetics of a charged test particle in two types of Coulomb environment. For a prescribed Gaussian potential, averaging the random-unitary dynamics leads to a Born–Novikov memory equation; Novikov’s identity is exact, but its closure requires a second-order approximation. An equilibrium quantum bath instead yields a Born–Redfield equation with ordered correlators and ...
Added: October 26, 2026
Alexander S. Rabinowitch, International Journal of Modern Physics A 2026 Vol. 41 No. 30 Article 2650168
In this paper, we study a new class of wave solutions to the SU(2) Yang-Mills equations in the
region outside field sources. They represent a significant addition to the wave solutions obtained
in our previous publications describing non-Abelian transverse progressive waves propagating
in the direction of the Cartesian z-axis. In the new paper, wave solutions to the considered
system ...
Added: October 26, 2026
IEEE, 2026.
Proceedings of the X Scientific School "Dynamics of Complex Networks and their Applications"
(DCNA'2026) contain papers of reports of scientists and specialists in the field of intelligent technologies,
engineering education, research and design of complex networks.
DCNA'2026 was held from 10 to 12 September 2026 in Moscow, Russia, as a part of the International
Forum on Artificial Intelligence and ...
Added: October 26, 2026
Maddalena L., Yildiz B., Del Vecchio Blanco F. et al., Scientific data 2026 P. 1–20
We addressed the task of chemical characterization of the aerosol emitted by heated tobacco products (HTPs) and of the smoke emitted by conventional/commercial cigarettes, usually adopted as a reference. Emphasis was placed on quantifying constituents for enabling the identification of novel compounds through targeted and untargeted analyses, and the evaluation of reductions in toxicant exposure under ...
Added: October 26, 2026
D.V. Khomitsky, Lavrukhina E. A., Krasavin D. P. et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 114 No. 22 Article 225414
We study coherent electric manipulation of magnetic field induced localized states at a double kink of a helical edge in a HgTe/CdHgTe quantum well. An in-plane magnetic field opens a gap in the one-dimensional (1D) edge spectrum, while changes in the edge orientation generate localized in-gap states at the kinks. We show that, for suitable ...
Added: October 23, 2026
Budkov Y., Kalikin N., Journal of Chemical Physics 2026 Vol. 165 No. 16 Article 164108
We derive the local pressure tensor generated by the original Rosenfeld fundamental measure theory (FMT) for hard-sphere fluids from an arbitrary infinitesimal deformation. The variation of a finite-distance FMT kernel is written via the line integrals of the local deformation gradient along the straight segment connecting its end points. The resulting symmetric pressure tensor consists ...
Added: October 22, 2026
Lubashevsky I., Lubashevskiy V., Physica D: Nonlinear Phenomena 2026 Vol. 498 Article 135441
We develop a novel cloud-function formalism describing the dynamical relationship between sensory-information processing in large-scale brain networks (supraliminal processing) and the content of the mental representation of an observed object. The formalism combines elements of neural field theory for large-scale neural activity with the spatial characteristics of perceived objects and their embedding in the environment ...
Added: October 2, 2026
Buzaev F., Andrei Ermakov, Ivanova M. et al., , in: AI & PDE: ICLR 2026 Workshop on AI and Partial Differential Equations.: [б.и.], 2026.
Transformer-based physics-informed neural networks (PINNs) have recently improved PDE solving by modeling spatiotemporal interactions with self-attention, yet most variants still rely on absolute coordinate embeddings. We ask whether relative positional structure - a key inductive bias in modern Transformers can be made coordinate-aware and yield an accuracy boost with minimal overhead for PDE PINNs. Building ...
Added: June 24, 2026
Khassan Y., Efremenko D., Buzaev F. et al., , in: AI & PDE: ICLR 2026 Workshop on AI and Partial Differential Equations.: [б.и.], 2026.
Singularities in the source functions of partial differential equations (PDEs) pose significant challenges for physics-informed neural networks (PINNs), often leading to numerical instability and requiring a large number of sampling points to achieve accurate solutions, which increases computational costs. In this paper, we propose a novel sampling strategy that uses diffusion models for generative sampling ...
Added: June 24, 2026
Bugaev E., Buzaev F., Efremenko D. et al., , in: AI & PDE: ICLR 2026 Workshop on AI and Partial Differential Equations.: [б.и.], 2026.
This study introduces enhancements to physics-constrained neural networks (PCNNs) that improve the accuracy and stability of hybrid short-term weather forecasting models. Building on the WeatherGFT architecture, three innovations are proposed. First, an upgraded numerical solver, combining a fifth-order weighted essentially non-oscillatory scheme (WENO-5), a beta-plane approximation, and subgrid-scale viscosity, permits a fourfold increase in the ...
Added: June 24, 2026