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News
August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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?

Обобщение модели Изинга для анализа поляризации мнений в сообществе с тремя превалирующими предпочтениями

С. 40–43 .
Ryzhova A. V.
Language: Russian
Full text
Keywords: социологический методсоциологическое исследованиемодель Изингаполяризация мненийсообщество с тремя превалирующими предпочтениями

In book

Социологические методы в современной исследовательской практике: Сборник статей, посвященный памяти первого декана факультета социологии НИУ ВШЭ А.О. Крыштановского [Электронный ресурс]
Социологические методы в современной исследовательской практике: Сборник статей, посвященный памяти первого декана факультета социологии НИУ ВШЭ А.О. Крыштановского [Электронный ресурс]
М.: Издательский дом НИУ ВШЭ, 2011.
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Supervised machine learning is successfully applied to the study of critical phenomena and allows us to obtain a numerical estimate of the phase transition temperature and the correlation length exponent. We discuss the influence of possible systematic errors, as well as statistical errors, on the accuracy of such numerical estimates. Errors in the training and ...
Added: June 16, 2026
Extraction of properties of anisotropic spin model by deep transfer learning methods
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We apply supervised deep machine learning techniques to extract properties of the anisotropic Ising model. We consider two cases of anisotropy: orthogonal and diagonal. From the predictions of the neural network, we obtained phase probability functions, from which we measured two quantities: the critical temperature and the critical exponent of the correlation length. We estimated ...
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Supervised and Transfer Learning for Phase Transition Research
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Machine learning is a new tool for investigating physical models. One possible applications is the study of phase transitions analyzing the distribution of spins on regular lattices using supervised learning approach. A new question is the applicability of transfer learning, a network supervised on a particular model and used to infer information about another model. The ...
Added: February 10, 2025
Transfer Machine Learning of an Anisotropic Model
D. D. Sukhoverkhova, L. N. Shchur, Lobachevskii Journal of Mathematics 2025 Vol. 46 No. 1 P. 528–534
We investigate the possibility of extracting features  of second-order phase transitions using transfer machine learning. We have performed supervised machine learning for binary classification of snapshots of the spin distribution of the isotropic Ising model. The binary classification is performed in ferromagnetic and paramagnetic phases using a known critical temperature. The trained network is used ...
Added: January 13, 2025
Influence of anisotropy on the study of critical behavior of spin models by machine learning methods
Sukhoverkhova D., Shchur L., / Series arXiv "math". 2024. No. 2410.14523.
In this paper, we applied a deep neural network to study the issue of knowledge transferability between statistical mechanics models. The following computer experiment was conducted. A convolutional neural network was trained to solve the problem of binary classification of snapshots of the Ising model's spin configuration on a two-dimensional lattice. During testing, snapshots of ...
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In this paper, we applied a deep neural network to study the issue of knowledge transferability between statistical mechanics models. The following computer experiment was conducted. A convolutional neural network was trained to solve the problem of binary classification of snapshots of snapshots of the location of spins of the Ising model on a two-dimensional ...
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Transitions between metastable equilibria in the low-temperature phase of dynamical Ising game with activity spillover are studied in the infinite time limit. It is shown that exponential enhancement due to activity spillover, which takes place in finite-time transitions, is absent in the infinite time limit. In order to demonstrate that, the analytical description for infinite ...
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Лекции по физике поверхности
Aladyshkin A. Y., Фраерман А. А., Н. Новгород: Национальный исследовательский Нижегородский государственный университет им. Н.И. Лобачевского, 2024.
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Added: November 9, 2023
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We explore the possibilities of using neural networks to study phase transitions. The main question is the level of accuracy which can be achieved for the estimates of the critical point and critical exponents of statistical physics models. We generate data for two spin models in two dimensions for which analytical solutions exist, the Ising ...
Added: March 31, 2023
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В исследовании проведен анализ социальных факторов, оказывающих влияние на развитие исламского банкинга в России, на основе данных социологического исследования, проведенного в 2021 г. в рамках международного проекта НИУ ВШЭ «Россия и Иран: Исламские финансы и сотрудничество в области энергетики». Особое внимание уделено особенностям, присущим России как многонациональному и многоконфессиональному обществу, которое формирует уникальную социально-экономическую архитектуру ...
Added: February 15, 2023
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A model of an impurity system in semiconductors consisting of spins randomly distributed in space with a hydrogen-like distance dependence of the exchange energy in the Ising Hamiltonian has been studied. The distribution function of the exchange energy and the mean square of the magnetic moment have been calculated as functions of the concentration. It ...
Added: November 8, 2022
После метода — только гипер-Хаос: ограничения теории социологического метода Джона Ло
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The article focuses on the problem of contingency in John Law’s theory of sociological method and its theoretical implications for social theory. The theory proposes to use as a legitimate source of sociological knowledge any sensory or cognitive experience of a researcher—bodily sensations, emotions, etc.—along with classical sociological methods. Such a methodology follows from Law’s ...
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We survey and develop the most elementary model of electron motion introduced by R.Feynman. In this game, a checker moves on a checkerboard by simple rules, and we count the turns. Feynman checkers are also known as a one-dimensional quantum walk or an Ising model at imaginary temperature. We solve mathematically a problem by R.Feynman ...
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Critical and geometric properties of magnetic polymers across the globule-coil transition
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We study a lattice model of a single magnetic polymer chain, where Ising spins are located on the sites of a lattice self-avoiding walk in $d=2$. We consider the regime where both conformations and magnetic degrees of freedom are dynamic, thus the Ising model is defined on a dynamic lattice and conformations generate an annealed disorder. Using Monte Carlo ...
Added: November 5, 2021
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В статье описаны проблемы социологической экспертизы интеллектуальной собственности. Предмет. Проблемы социологической экспертизы, связанной с исследованием интеллектуальной собственности. Цель работы. Анализ проблем социологической экспертизы интеллектуальной собственности. Приоритетные задачи. Изучение проблем, связанных с составлением инструментария для социологической экспертизы, а также анализ решений арбитражных судов, ФАС и Палаты по патентным спорам при Роспатенте, в которых использовались результаты социологических ...
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This paper considers the problem of the attitude to sociology and sociological research by various social agents (employees of various state and public organizations, media representatives, etc.). The author identifies the problems that arise from the fact that most people consider sociological data and their use understandable and easy, and readily treat them to confirm ...
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the problem of corruption in the Russian society is widely covered in the scientific literature and among the causes of this phenomenon, which have a deep character, is called the low level or deformation of the legal consciousness of the participants of corruption relations. At the same time, the analysis of judicial practice in cases ...
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