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Лекции по физике поверхности
Н. Новгород :
Национальный исследовательский Нижегородский государственный университет им. Н.И. Лобачевского, 2024.
Aladyshkin A. Y., Фраерман А. А.
Under the general editorship: Е. З. Грибова
Keywords: коалесценциясканирующая туннельная микроскопиямодель Изингадоменная сверхпроводимостьповерхностное натяжениемалоугловое рассеяниеэффект близостипереход Пайерлсасканирующая туннельная спектроскопияповерхностная сверхпроводимостьшероховатая поверхностьпромежуточное состояние сверхпроводникаотражение рентгеновского излученияприближение сплошной средыборновское приближениемногослойные структурыдлина экстинкциикоррелированные шероховатостирассеяние электронов на кристаллической решёткедифракция медленных электроновдифракция быстрых электроновотражение тепловых нейтроновферромагнитные поляризаторы нейтроновтуннельное магнитосопротивлениеповерхностные электронные состояния Тамма-Шоклиповерхностные состояния в потенциале изображенияинтерференция поверхностных квазичастицприкраевая сверхпроводимостьравновесная форма кристалловтеорема Вульфакраевой угол Юнгафазовый переход поверхности в шероховатое состояниемеханизмы релаксации поверхностных шероховатостейдислокации несоответствиямодель Френкеля–Конторовойпсевдоморфный росткритическое рассогласованиекритическая толщинамодели роста кристалловмодель Колмогоровамодель Лифшица-Слёзовараспад твёрдых растворовмодель Кана–Хиллардадоменная структура ферромагнетиковдоменная стенкамагнитно-силовая микроскопияфазовое расслоение в сверхпроводникахэффект Мейсснерачастица в мелкой яметеорема Полиа
Dmitriev A., Kornilov V., Batienkov R., Lecture Notes in Civil Engineering 2026 Vol. 886 P. 249–255
Numerous studies have provided compelling evidence that the probability distribution of avalanche sizes follows a power law, and that 1/f noise is present in the stochastic dynamics of landslides. We present a theoretical explanation of these phenomena within the framework of self-organized criticality theory, proposing a discrete-time model in the form of a sandpile cellular ...
Added: October 13, 2026
Dmitriev A., Shulman I., Lebedev A., Studies in Computational Intelligence 2026 Vol. 1265 P. 266–273
A discrete-time model is presented for the self-organization of the X/Twitter social network to the edge of a phase transition, characterized by avalanche-like propagation of information in the network. The model is based on the analogy between the critical dynamics of the X social network and sandpile cellular automata with Manna rule on the Chung-Lu ...
Added: October 13, 2026
Arutyunov K., Kharitonov I. A., Petrosyants K. O., JETP Letters 2026 Vol. 124 No. 6 P. 1–16
Superconducting properties of metallic micro- and nanowires can be entirely different from those of bulk superconductors. Of particular interest is the nonequilibrium current-induced state of a quasi-one-dimensional superconducting channel. The most interesting phenomenon here is the stepped I–V characteristic, explained by a process known as phase slip center activation. If the origin of such step-like ...
Added: October 13, 2026
Makarov D. M., Kalikin N., Fashchevsky K. A. et al., Electrochimica Acta 2026 Vol. 579 Article 150159
Machine learning (ML) has become a powerful tool for accelerating the development of carbon-based supercapacitors;
however, most published models assume that a single predictive framework can describe both conventional
porous carbons and hybrid carbon electrodes. Here, we test this assumption using a comprehensive
benchmark dataset and an extended literature-curated dataset enriched with synthesis- and electrolyte-related
descriptors. Three ML algorithms ...
Added: October 13, 2026
Махлуф М., Ozhegov R., Elezov M. et al., Фотоника 2026 Vol. 20 No. 6 P. 414–423
This paper compares the ranging precision of direct time-of-flight (dToF) and non-line-of-sight (NLOS) LiDAR architectures, both using a superconducting nanowire single-photon detector (SNSPD). Both systems operate at 1550 nm with a 50 ps pulsed laser and time-correlated single-photon counting (TCSPC). The dToF configuration achieved approximately 100 µm precision at 10 m, while the NLOS configuration achieved 500 µm precision for ...
Added: October 12, 2026
Sukhoverkhova D., Shchur L., , in: Proceedings of the 34th IUPAP Conference on Computational Physics: CCP2023, August 4-8, Kobe, Japan.: Singapore: Springer, 2026. Ch. 17 P. 145–155.
We analyze the Ising model with anisotropic interactions in two dimensions using deep learning neural networks (NN) trained to classify paramagnetic (PM) and ferromagnetic (FM) phases. The spin configurations used as training data are labeled as belonging to either PM state or the FM state using analytically known phase transition temperatures. We use the variation of the output function to ...
Added: October 12, 2026
Singapore: Springer, 2026.
This volume presents the Proceedings of the 34th IUPAP Conference on Computational Physics (CCP2023), held in Kobe, Japan on August 4–8, 2023. It offers a collection of peer-reviewed articles that highlight recent developments in computational and simulation research across various areas of physics. Key topics include the use of data science, quantum computing, and machine ...
Added: October 12, 2026
Goncharov A., Chibisov A., Advanced Theory and Simulations 2023 Vol. 12 No. 13 Article 2200816
Designing stable quantum computers with the ability to correct errors responsibly requires a detailed understanding of the physical processes that underlie these devices. In this study, detailed quantum mechanical simulations of the atomic structure, charge distribution of electron density, and distribution and orientation of magnetic and quantum states as a function of applied external pressure ...
Added: October 11, 2026
Chibisov A., Gnidenko A., Chibisova M. et al., FlatChem 2023 Vol. 41 Article 100533
Manufacturing precise quantum computers with small errors in quantum operations, long coherence times, and low power consumption is the most important challenge in modern nanoelectronics. To understand the operating modes of such calculators in detail, both the optimal arrangement of the qubit system within the structure and changes in its magnetic properties must be comprehensively ...
Added: October 11, 2026
S. S. Seidov, N. G. Pugach, Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 114 No. 7 Article 074504
In this manuscript we consider a superconducting film in the vicinity of the critical temperature and presence of the proximity effect. We analytically solve the corresponding linearized Usadel equation and the self-consistency equation, defining the critical temperature. This is a system of coupled differential and integral equations for the anomalous Green's function and the order parameter of ...
Added: August 13, 2026
Chertenkov V. I., Shchur L., Lobachevskii Journal of Mathematics 2026 Vol. 47 No. 2 P. 720–727
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
Lukmanova R.M., Cohn I.A., Minakova V. E. et al., Physical Review B: Condensed Matter and Materials Physics 2025 Vol. 111 No. 22 Article 224510
The magnetoresistance of superconductor–topological insulator–superconductor structures, with indium as the superconductor and TaSe3 as the topological insulator, shows steplike features on the resistance under magnetic fields. These resistance steps result from the suppression of superconductivity, induced by the superconducting proximity effect in both the bulk and surface states of the topological insulator. The position and ...
Added: March 11, 2026
Korneeva Y. P., Dryazgov M. A., Trofimov I. V. et al., Superconductor Science and Technology 2025 Vol. 38 No. 7 Article 075016
This work demonstrates that depositing a thin layer of Mo (5–15 nm) onto a 10 nm thick NbN strip leads to a significant increase in the nonlinearity of the kinetic inductance . Specifically, the change in with increasing current reached 70% in the NbN/Mo bilayer at liquid helium temperature, whereas in the NbN strip, changed by only 10% ...
Added: March 1, 2026
Hybrid collective excitations in topological superconductor/ferromagnetic insulator heterostructures
T. Karabassov, I. V. Bobkova, Bobkov A. M. et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 113 No. 10 Article 104514
We develop a linear response theory for the dynamical proximity effect in topological superconductor/ferromagnetic insulator (TS/FI) hybrids. Our approach integrates the nonequilibrium quasiclassical Keldysh-Usadel formalism for the TS with the Landau-Lifshitz-Gilbert equation for the FI's magnetization dynamics. This framework reveals a proximity-induced coupling between magnons and superconducting collective modes. Crucially, we find that spin-momentum locking in ...
Added: February 26, 2026
Stolyarov V. S., Kozlov S. N., Yakovlev D. S. et al., Communications Materials 2026 Vol. 7 Article 91
Superconducting proximity junctions based on topological insulators are widely believed to harbor Majorana-like bound states. If so, the static current phase relationship (CPR) should have a 4π-periodic component. It is then usually assumed that the static CPR can be extended to treat dynamic, voltage-biased, experiments and can justify the suppression of the first phase-lock-in microwave ...
Added: February 5, 2026
A. A. Golubov, Bakurskiy S. V., T. Karabassov et al., JETP Letters 2026 Vol. 123 No. 5 P. 324–340
In this review, we summarize the foundations underlying a variety of phenomena in superconductor– ferromagnet hybrid structures, with a focus on recent advances in several key areas. These include: (i) the fundamental understanding of proximity effects in superconductor–ferromagnet based systems; (ii) spin-valve effects in superconductor– ferromagnet and superconductor–ferromagnet–superconductor Josephson junctions; and (iii) the design and ...
Added: January 25, 2026
Tomayeva M., Vyacheslav D. Neverov, Andrey V. Krasavin et al., Beilstein Journal of Nanotechnology 2025 Vol. 16 P. 2265–2273
In the ballistic regime at finite temperatures, the proximity effect diminishes following an exponential pattern; however, at low or zero temperatures, this transition alters to a decay characterized by a power law with a dimensionality-dependent exponent. Here, we extend the current understanding of the proximity effect by exploring the role of normal metal–superconductor (NS) junction ...
Added: January 8, 2026
D.D. Sukhoverkhova, L.N. Shchur, , in: Параллельные вычислительные технологии – XIX всероссийская конференция с международным участием, ПаВТ'2025. Короткие статьи и описания плакатов.: Издательский центр ЮУрГУ, 2025. P. 82–89.
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 ...
Added: December 4, 2025
Zhu Q., Luo X., Shanenko A. et al., Chinese Journal of Physics 2025 Vol. 97 P. 768–776
Interference-induced surface superconductivity (SC), in which the surface critical temperature $T_{cs}$ is enhanced relative to the bulk critical temperature $T_{cb}$, has been predicted recently, sparking intensive studies of its properties within an attractive Hubbard model with $s$-wave pairing. However, a complete understanding of how the relative enhancement $\tau = (T_{cs} - T_{cb})/T_{cb}$ depends on microscopic ...
Added: September 15, 2025
Селезнёв Д. В., Seidov S., Pugach N. et al., Известия Уфимского научного центра РАН 2025 № 1 С. 5–11
Рассматривается спиновый вентиль, состоящий из одного сверхпроводящего слоя и двух ферромагнитных изоляторов по краям сверхпроводника. Контакт рассмотрен в грязном пределе, в котором функция
Грина сверхпроводника подчиняется уравнению Узаделя. Уравнения Узаделя дополнены соответствующими граничными условиями, моделирующими эффект близости сверхпроводника с ферромагнитным
изолятором. Исследование системы проводилось путем численного решения уравнений Узаделя вкупе с
уравнением самосогласования для сверхпроводящего параметра порядка. Численный ...
Added: March 5, 2025
Chertenkov V., Shchur L., Lecture Notes in Computer Science 2025 Vol. 15406 P. 434–449
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
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
Лекомцев Н. В., Pugach N., В кн.: Межвузовская научно-техническая конференция студентов, аспирантов и молодых специалистов имени Е.В. Арменского. Москва, 2024.: М.: ООО "Издательский дом Медиа паблишер", 2024. С. 216–218.
The study investigates the controllable proximity effect regulated by spin switching in a superconductor-helimagnet bilayer, comparing the calculated critical parameters of the structure with experimental data. The research is conducted as part of the development of a superconducting spin valve model ...
Added: December 7, 2024
A. Yu. Aladyshkin, Chaika A. N., Semenov V. N. et al., Journal of Physical Chemistry C 2024 Vol. 128 No. 38 P. 16143–16153
Detailed analysis of scanning probe microscopy (SPM) data acquired for faceted and non-flat surfaces is usually complicated due to the presence of a large number of surface areas tilted by large/variable angles relative to the scanning plane. As a consequence, standard methods of elimination of global or local slopes by either a plane subtraction or ...
Added: November 27, 2024