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Impact of the spin-orbit interaction on the phase diagram and anisotropy of the in-plane critical magnetic field in superconducting LaAlO3/SrTiO3interface

arXiv

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arXiv 2021年

作者： Wójcik, P. Nowak, M.P. Zegrodnik, M. Agh University of Science and Technology Faculty of Physics and Applied Computer Science Al. Mickiewicza 30 Krakow30-059 Poland Agh University of Science and Technology Academic Centre for Materials and Nanotechnology Al. Mickiewicza 30 Krakow30-059 Poland

The two-dimensional electron gas at the interface between LaAlO3and SrTiO3(LAO/STO) exhibits gate tunable superconductivity with a characteristic dome-like shape of the critical temperature (Tc) in the phase diagram. As shown recently [Phys. Rev. B 102, 085420 (2020)], such an effect can be explained as a consequence of the extended s-wave symmetry of the gap within an intersite real space pairing scenario, leading to a good agreement between the experiment and theory. In this work, we turn to a detailed analysis of the inuence of spin-orbit coupling on the LAO/STO phase diagram by considering the atomic and the Rashba components. In particular, we analyze the optimal carrier concentration for which the maximal Tcis reached relative to the Lifshitz transition point. We find that the a misalignment between the two can be significantly enhanced by the spin-orbit splitting of the bands, combined with the fact that superconductivity sets in when the Fermi level passes the anticrossing induced by the spin-orbital hybridization. In the presence of the external in-plane magnetic field, our calculations show four-fold anisotropy with the paramagnetic limit largely exceeded for B||directed along the high symmetry points [01] and [01]. The obtained electron concentration dependence of Bc||reproduces the characteristic dome-like shape reported in experiments and the estimated value of Bc||corresponds to that measured experimentally. Copyright © 2021, The Authors. All rights reserved.

关键词： Anisotropy

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Radiation-dominated bouncing model with slow contraction and inflation

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Physical Review D 2024年第4期109卷 043531-043531页

作者： Piero A. P. Molinari Paola C. M. Delgado Rodrigo F. Pinheiro Nelson Pinto-Neto Centro Brasileiro de Pesquisas Físicas - CBPF Rua Dr. Xavier Sigaud 150 Urca 22290-180 Rio de Janeiro RJ Brazil Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University 30-348 Krakow Poland

A very simple nonsingular inflationary model is presented where the unique matter content is a radiation fluid. The model slowly contracts from a very large, almost empty and flat spacetime and realizes a bounce. It is then launched to a quasi-de Sitter inflationary expansion with more than sixty e-folds, which smoothly changes to the usual classical, decelerated radiation-dominated expansion before nucleosynthesis. The initial contracting and final expanding phases are classical, but the intermediate bounce and inflationary phases are induced by quantum cosmological effects emerging from a Gaussian wave function quickly moving in configuration space. During this quantum era, a huge number of photons is created. The scale factor describing all this rich evolution is a surprisingly simple analytic function of conformal time. The cosmological scalar perturbations arising from quantum vacuum fluctuations in the far past of the model present an almost scale invariant spectrum with an amplitude compatible with observations for reasonable values of the free parameters of the model.

关键词： Canonical quantum gravity Cosmology Inflation Quantum cosmology

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SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier

arXiv

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arXiv 2022年

作者： Wójcik, Bartosz Grela, Jacek Smieja, Marek Misztal, Krzysztof Tabor, Jacek Faculty of Mathematics and Computer Science Jagiellonian University Lojasiewicza 6 Kraków30-348 Poland Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Lojasiewicza 11 Kraków30-348 Poland

Deep neural networks present impressive performance, yet they cannot reliably estimate their predictive confidence, limiting their applicability in high-risk domains. We show that applying a multi-label one-vs-all loss reveals classification ambiguity and reduces model overconfidence. The introduced SLOVA (Single Label One-Vs-All) model redefines typical one-vs-all predictive probabilities to a single label situation, where only one class is the correct answer. The proposed classifier is confident only if a single class has a high probability and other probabilities are negligible. Unlike the typical softmax function, SLOVA naturally detects out-of-distribution samples if the probabilities of all other classes are small. The model is additionally fine-tuned with exponential calibration, which allows us to precisely align the confidence score with model accuracy. We verify our approach on three tasks. First, we demonstrate that SLOVA is competitive with the state-of-the-art on in-distribution calibration. Second, the performance of SLOVA is robust under dataset shifts. Finally, our approach performs extremely well in the detection of out-of-distribution samples. Consequently, SLOVA is a tool that can be used in various applications where uncertainty modeling is required. © 2022, CC BY.

关键词： Probability distributions

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Architecture Reduction of a Probabilistic Neural Network by Merging K–Means and K–Nearest Neighbor Algorithms

SSRN

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SSRN 2022年

作者： Kusy, Maciej Kowalski, Piotr A. Faculty of Electrical and Computer Engineering Rzeszow University of Technology al. Powstancow Warszawy 12 Rzeszow35–959 Poland Faculty of Physics and Applied Computer Science AGH University of Science and Technology al. A. Mickiewicza 30 Cracow30–059 Poland Systems Research Institute Polish Academy of Sciences ul. Newelska 6 Warsaw01–447 Poland

Probabilistic neural network (PNN) has a sizable structure since it requires all training records in the activation of its hidden layer. Therefore, in order to manage large data classification problems, it is recommended to minimize its inner design. In this paper, the algorithm for the PNN’s architecture reduction is presented. It is organized as follows. First, a k-means data clustering is conducted and the obtained centers are stored. Next, one selects a single nearest neighbor to the determined centers considering each class separately. The pattern neurons of a PNN are then established using both (i) the clusters centers and (ii) the records closest to the obtained centroids. The algorithm is applied to the classification tasks of seven repository data sets. Utilized PNN is trained by means of four training procedures with different kernel functions in each case. A 10–fold cross validation method is applied to assess the performance of the original and reduced networks. The results are also compared to the ones provided by methods existing in literature. It is shown that in the majority classification cases, it is possible to achieve a higher accuracy of reduced PNN compared to the original network and the approaches introduced in literature. © 2022, The Authors. All rights reserved.

关键词： K-means clustering

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Potential to identify neutrino mass ordering with reactor antineutrinos at JUNO

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Chinese physics C 2025年第3期49卷 37-63页

作者： Angel Abusleme Thomas Adam Shakeel Ahmad Rizwan Ahmed Sebastiano Aiello Muhammad Akram Abid Aleem Fengpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Weidong Bai Nikita Balashov Wander Baldini Andrea Barresi Davide Basilico Eric Baussan Marco Bellato Marco Beretta Antonio Bergnoli Daniel Bick Lukas Bieger Svetlana Biktemerova Thilo Birkenfeld Iwan Morton-Blake David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Jose Busto Anatael Cabrera Barbara Caccianiga Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Stéphane Callier Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Vanessa Cerrone Chi Chan Jinfan Chang Yun Chang Auttakit Chatrabhuti Chao Chen Guoming Chen Pingping Chen Shaomin Chen Yixue Chen Yu Chen Zhangming Chen Zhiyuan Chen Zikang Chen Jie Cheng Yaping Cheng Yu Chin Cheng Alexander Chepurnov Alexey Chetverikov Davide Chiesa Pietro Chimenti Yen-Ting Chin Ziliang Chu Artem Chukanov Gérard Claverie Catia Clementi Barbara Clerbaux Marta Colomer Molla Selma Conforti DiLorenzo Alberto Coppi Daniele Corti Simon Csakli Flavio Dal Corso Olivia Dalager Jaydeep Datta Christophe De La Taille Zhi Deng Ziyan Deng Xiaoyu Ding Xuefeng Ding Yayun Ding Bayu Dirgantara Carsten Dittrich Sergey Dmitrievsky Tadeas Dohnal Dmitry Dolzhikov Georgy Donchenko Jianmeng Dong Evgeny Doroshkevich Wei Dou Marcos Dracos Frédéric Druillole Ran Du Shuxian Du Katherine Dugas Stefano Dusini Hongyue Duyang Jessica Eck Timo Enqvist Andrea Fabbri Ulrike Fahrendholz Lei Fan Jian Fang Wenxing Fang Marco Fargetta Dmitry Fedoseev Zhengyong Fei Li-Cheng Feng Qichun Feng Federico Ferraro Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Arsenii Gavrikov Marco Giammarchi Nunzio Giudice Maxim Gonchar Guanghua Gong Hui Gong Yuri Gornushkin Alexandre Göttela Marco Grassi Maxim Gromov Vasily Gromov Minghao Gu X Yerevan Physics Institute YerevanArmenia Université Libre de Bruxelles BrusselsBelgium Universidade Estadual de Londrina LondrinaBrazil Pontificia Universidade Catolica do Rio de Janeiro Rio de JaneiroBrazil Millennium Institute for SubAtomic Physics at the High-energy Frontier(SAPHIR) ANIDChile Pontificia Universidad Católica de Chile SantiagoChile Beijing Institute of Spacecraft Environment Engineering BeijingChina Beijing Normal University BeijingChina China Institute of Atomic Energy BeijingChina Institute of High Energy Physics BeijingChina North China Electric Power University BeijingChina School of Physics Peking UniversityBeijingChina Tsinghua University BeijingChina University of Chinese Academy of Sciences BeijingChina Jilin University ChangchunChina College of Electronic Science and Engineering National University of Defense TechnologyChangshaChina Chongqing University ChongqingChina Dongguan University of Technology DongguanChina Jinan University GuangzhouChina Sun Yat-Sen University GuangzhouChina Harbin Institute of Technology HarbinChina University of Science and Technology of China HefeiChina The Radiochemistry and Nuclear Chemistry Group in University of South China HengyangChina Wuyi University JiangmenChina Shandong University JinanChinaand Key Laboratory of Particle Physics and Particle Irradiation of Ministry of EducationShandong UniversityQingdaoChina Nanjing University NanjingChina Guangxi University NanningChina East China University of Science and Technology ShanghaiChina School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghaiChina Tsung-Dao Lee Institute Shanghai Jiao Tong UniversityShanghaiChina Institute of Hydrogeology and Environmental Geology Chinese Academy of Geological SciencesShijiazhuangChina Nankai University TianjinChina Wuhan University WuhanChina Xi’an Jiaotong University Xi’anChina Xiamen University XiamenChina School of Physics and Microelectronics Zhengzhou UniversityZhengzhouChina Institute of Physics National

The Jiangmen Underground Neutrino Observatory(JUNO)is a multi-purpose neutrino experiment under construction in South *** paper presents an updated estimate of JUNO’s sensitivity to neutrino mass ordering using the reactor antineutrinos emitted from eight nuclear reactor cores in the Taishan and Yangjiang nuclear power *** measurement is planned by studying the fine interference pattern caused by quasi-vacuum oscillations in the oscillated antineutrino spectrum at a baseline of 52.5 km and is completely independent of the CP violating phase and neutrino mixing angleθ_(23).The sensitivity is obtained through a joint analysis of JUNO and Taishan Antineutrino Observatory(TAO)detectors utilizing the best available knowledge to date about the location and overburden of the JUNO experimental site,local and global nuclear reactors,JUNO and TAO detector responses,expected event rates and spectra of signals and backgrounds,and systematic uncertainties of analysis *** find that a 3σmedian sensitivity to reject the wrong mass ordering hypothesis can be reached with an exposure of about 6.5 years×26.6 GW thermal power.

关键词： JUNO neutrino neutrino mass ordering

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InGaAs/InP Quantum Well Nanowire Array Micro-LEDs at Telecommunication Wavelengths

InGaAs/InP Quantum Well Nanowire Array Micro-LEDs at Telecom...

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2023 Novel Optical Materials and Applications, NOMA 2023

作者： Zhang, Fanlu Su, Zhicheng Li, Zhe Zhu, Yi Gagrani, Nikita Li, Ziyuan Lockery, Mark Li, Li Aharonovich, Igor Lu, Yuerui Tan, Har Hoe Jagadish, Chennupati Fu, Lan Australian Research Council Centre of Excellence for Transformative Meta-Optical Systems Department of Electronic Materials Engineering Research School of Physics The Australian National University CanberraACT2601 Australia School of Electronic Science and Engineering Southeast University Jiangsu Nanjing210096 China Microstructural Analysis Unit University of Technology Sydney SydneyNSW2007 Australia Australian National Fabrication Facility ACT Node Research School of Physics The Australian National University CanberraACT2601 Australia ARC Centre of Excellence for Transformative Meta-Optical Systems Faculty of Science University of Technology Sydney UltimoNSW Australia School of Engineering College of Engineering and Computer Science The Australia National University Canberra CanberraACT2601 Australia

We report the growth, fabrication and characterization of highly uniform p-i-n core-shell InGaAs/InP single quantum well nanowire array light emitting diodes operating at telecommunication wavelengths of ~1.35 and ~1.... 详细信息

关键词： Nanowires

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An analytical investigation of nonlinear time-fractional Schrödinger and coupled Schrödinger–KdV equations

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Results in physics 2025年 70卷

作者： Patel, Yogeshwari F. Izadi, Mohammad Department of Mathematical Sciences P D Patel Institute of Applied Sciences Charotar University of Science and Technology Changa Anand Gujarat 388421 India Department of Applied Mathematics Faculty of Mathematics and Computer Shahid Bahonar University of Kerman Kerman Iran

This study applies the Fractional Reduced Differential Transform Method (FRDTM) to solve two nonlinear fractional equations: the time-fractional Schrödinger equation (TFSE) and the coupled Schrödinger–KdV (Sch–KdV) equation, which are prominent in quantum mechanics, plasma physics, and wave propagation studies. These equations model various wave phenomena, including dust-acoustic waves, electromagnetic waves, and Langmuir waves, in plasma physics. Using the Liouville–Caputo fractional derivative, FRDTM effectively incorporates nonlocality and memory effects. The solutions are derived as rapidly convergent infinite series with terms that are straightforward to compute, ensuring both accuracy and efficiency. Numerical examples highlight the method's ability to closely approximate exact solutions, with graphical and tabular comparisons illustrating the effect of the fractional order on solution behavior and validating the approach through computed absolute errors. Additionally, discussions on the modulation instability of the models reinforce the robustness of FRDTM as a powerful tool for solving complex nonlinear fractional systems. © 2025 The Authors

关键词： Analytical solutions Fractional PDEs Liouville–Caputo fractional derivative Modulational instability Nonlinear Schrödinger equation Schrödinger–KdV equation

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Intelligent Robotic Motion Copying System LevshAi for Neurosurgical Endovascular Operations with Haptic Feedback and Preoperative Personalized Simulation

Intelligent Robotic Motion Copying System LevshAi for Neuros...

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IEEE International Conference on Cyborg and Bionic Systems (CBS)

作者： Ivan Menshikov Alexandra Bernadotte Neurosputnik LLC Moscow Russia Department of Control and Applied Mathematics Moscow Institute of Physics and Technology (MIPT) Dolgoprudny Russia Department of Information Technologies and Computer Sciences The National University of Science and Technology MISIS Moscow Russia Faculty of Computer Sciences Higher School of Economics Moscow Russia Faculty of Mechanics and Mathematics Moscow State University Moscow Russia

Abstract The paper presented an intelligent robotic motion copying system LevshAi for remote neurosurgical endovascular operations. The LevshAi system follows the specialization paradigm. The system is oriented to a particular class of operations, and, at the same time, it is most convenient for *** system has intelligent haptic feedback identical to what a surgeon would experience in an operating room performing classical endovascular surgery on cerebral *** LevshAi system makes extensive use of artificial intelligence. For example, artificial intelligence is used to select the best surgical tactics, correct the surgeon’s tremor, identify critical situations during the operation, and simulate the patient’s vessels in 3 *** LevshAi system is equipped with a training personalized intelligent vascular simulator. The personalized intelligent vascular simulator allows surgeons to practice on the 3D simulator and choose the best tactics before the operation.

关键词： Robot motion Training Three-dimensional displays Neurosurgery Haptic interfaces Artificial intelligence Man-machine systems

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Thermal recall: Memory-assisted Markovian thermal processes

arXiv

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arXiv 2023年

作者： Czartowski, Jakub de Oliveira Junior, A. Korzekwa, Kamil Doctoral School of Exact and Natural Sciences Jagiellonian University Kraków30-348 Poland Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Kraków30-348 Poland

We develop a resource-theoretic framework that allows one to bridge the gap between two approaches to quantum thermodynamics based on Markovian thermal processes (which model memoryless dynamics) and thermal operations (which model arbitrarily non-Markovian dynamics). Our approach is built on the notion of memory-assisted Markovian thermal processes, where memoryless thermodynamic processes are promoted to non-Markovianity by explicitly modelling ancillary memory systems initialised in thermal equilibrium states. Within this setting, we propose a family of protocols composed of sequences of elementary two-level thermalisations that approximate all transitions between energy-incoherent states accessible via thermal operations. We prove that, as the size of the memory increases, these approximations become arbitrarily good for all transitions in the infinite temperature limit, and for a subset of transitions in the finite temperature regime. Furthermore, we present solid numerical evidence for the convergence of our protocol to any transition at finite temperatures. We also explain how our framework can be used to quantify the role played by memory effects in thermodynamic protocols such as work extraction. Finally, our results show that elementary control over two energy levels at a given time is sufficient to generate all energy-incoherent transitions accessible via thermal operations if one allows for ancillary thermal systems. © 2023, CC BY.

关键词： Temperature

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Combined density functional theory and boundary element methods study on optical and electronic properties of interfacial Au/TiO2 defects

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Optical Materials: X 2023年 20卷

作者： Dang, Diem Thi-Xuan Vu, Nam Hoang Vu, Thu Thi-Hanh Thoai, Nam Kawazoe, Yoshiyuki Phan, Bach Thang Nguyen-Manh, Duc Ho Chi Minh City Viet Nam Ho Chi Minh City Viet Nam Faculty of Materials Science and Technology University of Science Ho Chi Minh City Viet Nam Faculty of Physics and Engineering Physics University of Science Ho Chi Minh City Viet Nam High Performance Computing Lab and Faculty of Computer Science & Engineering University of Technology Ho Chi Minh City Viet Nam New Industry Creation Hatchery Center Tohoku University Sendai980-8579 Japan Department of Physics Suranaree University of Technology Ratchasima Nakhon Thailand Department of Physics and Nanotechnology SRM Institute of Science and Technology Tamil Nadu Kattankulathur603203 India Culham Center for Fusion Energy United Kingdom Atomic Energy Authority OX14 3DB United Kingdom

This study investigates the optical and electrical properties of Au/TiO2 nanoparticles with different sizes and defects by combining micro- and macro-scale simulations through density functional theory (DFT) and boundary element method (BEM), respectively. The O-vacancy in the sample enhances the bonding and the electron transfer at the Au/TiO2 perimeter zone, as indicated by the binding energy and charge density difference in DFT calculations, respectively. BEM simulation indicates a stronger electromagnetic field in the Au/TiO2 interface of the sample with O-vacancy. DFT calculations demonstrate that the optical absorption of Au/TiO2 in the ultraviolet range is well described by the absorption coefficient spectra, whereas the BEM results well describe the range of the surface plasmon resonance absorption of Au/TiO2 in the wavelength range of 480–550 nm through the absorption cross-section. This study demonstrates the combined role of DFT and BEM in studying the electrical and optical properties of the nanocrystal system. © 2023 The Author(s)

关键词： Density functional theory

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