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Erratum to: Search for phenomena beyond the Standard Model in events with large b -jet multiplicity using the ATLAS detector at the LHC

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The European Physical Journal C 2021年第3期81卷 1-15页

作者： G. Aad B. Abbott D. C. Abbott A. Abed Abud K. Abeling D. K. Abhayasinghe S. H. Abidi O. S. AbouZeid N. L. Abraham H. Abramowicz H. Abreu Y. Abulaiti B. S. Acharya B. Achkar L. Adam C. Adam Bourdarios L. Adamczyk L. Adamek J. Adelman M. Adersberger A. Adiguzel S. Adorni T. Adye A. A. Affolder Y. Afik C. Agapopoulou M. N. Agaras A. Aggarwal C. Agheorghiesei J. A. Aguilar-Saavedra A. Ahmad F. Ahmadov W. S. Ahmed X. Ai G. Aielli S. Akatsuka M. Akbiyik T. P. A. Åkesson E. Akilli A. V. Akimov K. Al Khoury G. L. Alberghi J. Albert M. J. Alconada Verzini S. Alderweireldt M. Aleksa I. N. Aleksandrov C. Alexa T. Alexopoulos A. Alfonsi F. Alfonsi M. Alhroob B. Ali S. Ali M. Aliev G. Alimonti C. Allaire B. M. M. Allbrooke B. W. Allen P. P. Allport A. Aloisio F. Alonso C. Alpigiani E. Alunno Camelia M. Alvarez Estevez M. G. Alviggi Y. Amaral Coutinho A. Ambler L. Ambroz C. Amelung D. Amidei S. P. Amor Dos Santos S. Amoroso C. S. Amrouche F. An C. Anastopoulos N. Andari T. Andeen J. K. Anders S. Y. Andrean A. Andreazza V. Andrei C. R. Anelli S. Angelidakis A. Angerami A. V. Anisenkov A. Annovi C. Antel M. T. Anthony E. Antipov M. Antonelli D. J. A. Antrim F. Anulli M. Aoki J. A. Aparisi Pozo M. A. Aparo L. Aperio Bella N. Aranzabal V. Araujo Ferraz R. Araujo Pereira C. Arcangeletti A. T. H. Arce F. A. Arduh J.-F. Arguin S. Argyropoulos J.-H. Arling A. J. Armbruster A. Armstrong O. Arnaez H. Arnold Z. P. Arrubarrena Tame G. Artoni H. Asada K. Asai S. Asai T. Asawatavonvanich N. Asbah E. M. Asimakopoulou L. Asquith J. Assahsah K. Assamagan R. Astalos R. J. Atkin M. Atkinson N. B. Atlay H. Atmani K. Augsten V. A. Austrup G. Avolio M. K. Ayoub G. Azuelos H. Bachacou K. Bachas F. Backman P. Bagnaia M. Bahmani H. Bahrasemani A. J. Bailey V. R. Bailey J.T. Baines C. Bakalis O. K. Baker P. J. Bakker E. Bakos D. Bakshi Gupta S. Balaji R. Balasubramanian E. M. Baldin P. Balek F. Balli W. K. Balunas J. Balz E. Banas M. Bandieramonte A. Bandyopadhyay Sw. Banerjee L. Barak W. M. Barbe E. L. Barberio D. Barberis M. Barbero G. Barbour T. Bar CPPM Aix-Marseille Université CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman USA Department of Physics University of Massachusetts Amherst USA CERN Geneva Switzerland II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Department of Physics Royal Holloway University of London Egham UK Department of Physics University of Toronto Toronto Canada Niels Bohr Institute University of Copenhagen Copenhagen Denmark Department of Physics and Astronomy University of Sussex Brighton UK Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion Israel Institute of Technology Haifa Israel High Energy Physics Division Argonne National Laboratory Argonne USA INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King’s College London London UK Institut für Physik Universität Mainz Mainz Germany LAPP Université Grenoble Alpes Université Savoie Mont Blanc CNRS/IN2P3 Annecy France Faculty of Physics and Applied Computer Science AGH University of Science and Technology Krakow Poland Department of Physics Northern Illinois University DeKalb USA Fakultät für Physik Ludwig-Maximilians-Universität München Munich Germany Department of Physics Bogazici University Istanbul Turkey Département de Physique Nucléaire et Corpusculaire Université de Genève Geneva Switzerland Particle Physics Department Rutherford Appleton Laboratory Didcot UK Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz USA IJCLab Université Paris-Saclay CNRS/IN2P3 Orsay France LPC Université Clermont Auvergne CNRS/IN2P3 Clermont-Ferrand France Institute for Mathematics Astrophysics and Particle Physics Radboud University Nijmegen/Nikhef Nijmegen The Netherlands Department of Physics Alexandru Ioan Cuza University of Iasi Iasi Romania Laboratóri

A Correction to this paper has been published: https://***/10.1140/epjc/s10052-020-08730-0

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Extracellular Matrix regulates the morphodynamics of 3D migrating cancer cells

arXiv

引用

arXiv 2020年

作者： Eddy, Christopher Z. Raposo, Helena Manchanda, Aayushi Wong, Ryan Li, Fuxin Sun, Bo Department of Physics Oregon State University CorvallisOR97331 United States Department of Chemical Biological and Environmental Engineering Oregon State University CorvallisOR97331 United States Molecular and Cellular Biology Program Oregon State University CorvallisOR97331 United States School of Electrical Engineering and Computer Science Oregon State University CorvallisOR97331 United States

Cell shape is linked to cell function. The significance of cell morphodynamics, namely the temporal fluctuation of cell shape, is much less understood. Here we study the morphodynamics of MDA-MB-231 cells in type I collagen extracellular matrix (ECM). We systematically vary ECM physical properties by tuning collagen concentrations, alignment, and gelation temperatures. We find that morphodynamics of 3D migrating cells are externally controlled by ECM mechanics and internally modulated by Rho/ROCK-signaling. We employ machine learning to classify cell shape into four different morphological phenotypes, each corresponding to a distinct migration mode. As a result, we map cell morphodynamics at mesoscale into the temporal evolution of morphological phenotypes. We characterize the mesoscale dynamics including occurrence probability, dwell time and transition matrix at varying ECM conditions, which demonstrate the complex phenotype landscape and optimal pathways for phenotype transitions. In light of the mesoscale dynamics, we show that 3D cancer cell motility is a hidden Markov process whereby the step size distributions of cell migration are coupled with simultaneous cell morphodynamics. Morphological phenotype transitions also facilitate cancer cells to navigate non-uniform ECM such as traversing the interface between matrices of two distinct microstructures. In conclusion, we demonstrate that 3D migrating cancer cells exhibit rich morphodynamics that is controlled by ECM mechanics, Rho/ROCK-signaling, and regulate cell motility. Our results pave the way to the functional understanding and mechanical programming of cell morphodynamics as a route to predict and control 3D cell motility. Copyright © 2020, The Authors. All rights reserved.

关键词： Cells

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Measurement of the photon polarization in Λb0→Λγ decays

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Physical Review D 2022年第5期105卷 L051104-L051104页

作者： R. Aaij A. S. W. Abdelmotteleb C. Abellán Beteta F. Abudinén T. Ackernley B. Adeva M. Adinolfi H. Afsharnia C. Agapopoulou C. A. Aidala S. Aiola Z. Ajaltouni S. Akar J. Albrecht F. Alessio M. Alexander A. Alfonso Albero Z. Aliouche G. Alkhazov P. Alvarez Cartelle S. Amato J. L. Amey Y. Amhis L. An L. Anderlini A. Andreianov M. Andreotti F. Archilli A. Artamonov M. Artuso K. Arzymatov E. Aslanides M. Atzeni B. Audurier S. Bachmann M. Bachmayer J. J. Back P. Baladron Rodriguez V. Balagura W. Baldini J. Baptista Leite M. Barbetti R. J. Barlow S. Barsuk W. Barter M. Bartolini F. Baryshnikov J. M. Basels S. Bashir G. Bassi B. Batsukh A. Battig A. Bay A. Beck M. Becker F. Bedeschi I. Bediaga A. Beiter V. Belavin S. Belin V. Bellee K. Belous I. Belov I. Belyaev G. Bencivenni E. Ben-Haim A. Berezhnoy R. Bernet D. Berninghoff H. C. Bernstein C. Bertella A. Bertolin C. Betancourt F. Betti Ia. Bezshyiko S. Bhasin J. Bhom L. Bian M. S. Bieker S. Bifani P. Billoir M. Birch F. C. R. Bishop A. Bitadze A. Bizzeti M. Bjørn M. P. Blago T. Blake F. Blanc S. Blusk D. Bobulska J. A. Boelhauve O. Boente Garcia T. Boettcher A. Boldyrev A. Bondar N. Bondar S. Borghi M. Borisyak M. Borsato J. T. Borsuk S. A. Bouchiba T. J. V. Bowcock A. Boyer C. Bozzi M. J. Bradley S. Braun A. Brea Rodriguez J. Brodzicka A. Brossa Gonzalo D. Brundu A. Buonaura L. Buonincontri A. T. Burke C. Burr A. Bursche A. Butkevich J. S. Butter J. Buytaert W. Byczynski S. Cadeddu H. Cai R. Calabrese L. Calefice L. Calero Diaz S. Cali R. Calladine M. Calvi M. Calvo Gomez P. Camargo Magalhaes P. Campana A. F. Campoverde Quezada S. Capelli L. Capriotti A. Carbone G. Carboni R. Cardinale A. Cardini I. Carli P. Carniti L. Carus K. Carvalho Akiba A. Casais Vidal G. Casse M. Cattaneo G. Cavallero S. Celani J. Cerasoli D. Cervenkov A. J. Chadwick M. G. Chapman M. Charles Ph. Charpentier G. Chatzikonstantinidis C. A. Chavez Barajas M. Chefdeville C. Chen S. Chen A. Chernov V. Chobanova S. Cholak M. Chrzaszcz A. Chubykin V. Chulikov P. Ciambrone M. F. Cicala X. Cid Vidal G. Ci Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Department of Physics University of Warwick Coventry United Kingdom Physik-Institut Universität Zürich Zürich Switzerland Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Instituto Galego de Física de Altas Enerxías (IGFAE) Universidade de Santiago de Compostela Santiago de Compostela Spain H.H. Wills Physics Laboratory University of Bristol Bristol United Kingdom Université Clermont Auvergne CNRS/IN2P3 LPC Clermont-Ferrand France LPNHE Sorbonne Université Paris Diderot Sorbonne Paris Cité CNRS/IN2P3 Paris France University of Michigan Ann Arbor United States (associated with Syracuse University Syracuse NY United States) INFN Sezione di Milano Milano Italy University of Cincinnati Cincinnati OH United States Fakultät Physik Technische Universität Dortmund Dortmund Germany European Organization for Nuclear Research (CERN) Geneva Switzerland School of Physics and Astronomy University of Glasgow Glasgow United Kingdom ICCUB Universitat de Barcelona Barcelona Spain Department of Physics and Astronomy University of Manchester Manchester United Kingdom Petersburg Nuclear Physics Institute NRC Kurchatov Institute (PNPI NRC KI) Gatchina Russia Cavendish Laboratory University of Cambridge Cambridge United Kingdom Universidade Federal do Rio de Janeiro (UFRJ) Rio de Janeiro Brazil Université Paris-Saclay CNRS/IN2P3 IJCLab Orsay France INFN Sezione di Firenze Firenze Italy INFN Sezione di Ferrara Ferrara Italy Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany Institute for High Energy Physics NRC Kurchatov Institute (IHEP NRC KI) Protvino Russia Protvino Russia Syracuse University Syracuse NY United States Yandex School of Data Analysis Moscow Russia Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France Laboratoire Leprince-Ringuet CNRS/IN2P3 Ecole Polytechnique Institut Polytechnique de Paris Palaiseau France Institu

The photon polarization in b→sγ transitions is measured for the first time in radiative b -baryon decays exploiting the unique spin structure of Λb0→Λγ decays. A data sample corresponding to an integrated luminosity of 6 fb−1 collected by the LHCb experiment in pp collisions at a center-of-mass energy of 13 TeV is used. The photon polarization is measured to be αγ=0.82−0.26−0.13+0.17+0.04, where the first uncertainty is statistical and the second systematic. This result is in agreement with the Standard Model prediction and previous measurements in b -meson decays. Charge-parity breaking effects are studied for the first time in this observable and found to be consistent with CP symmetry.

关键词： Flavor changing neutral currents Particle decays Bottom baryons Bottom quark Hyperons Photons CP symmetry

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Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem

arXiv

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arXiv 2020年

作者： Hribar, Rok Hrga, Timotej Papa, Gregor Petelin, Gašper Povh, Janez Pržulj, Nataša Vukašinović, Vida Computer Systems Department Jožef Stefan Institute Ljubljana Slovenia Jožef Stefan International Postgraduate School Ljubljana Slovenia University of Ljubljana Faculty of Mechanical Engineering Ljubljana Slovenia Institute of Mathematics Physics and Mechanics Ljubljana Slovenia Department of Computer Science University College London London United Kingdom Barcelona Supercomputing Center Barcelona Spain ICREA Barcelona Spain

In this paper, we consider the symmetric multi-type non-negative matrix tri-factorization problem (SNMTF), which attempts to factorize several symmetric non-negative matrices simultaneously. This can be considered as a generalization of the classical non-negative matrix tri-factorization problem and includes a non-convex objective function which is a multivariate sixth degree polynomial and a has convex feasibility set. It has a special importance in data science, since it serves as a mathematical model for the fusion of different data sources in data clustering. We develop four methods to solve the SNMTF. They are based on four theoretical approaches known from the literature: the fixed point method (FPM), the block-coordinate descent with projected gradient (BCD), the gradient method with exact line search (GM-ELS) and the adaptive moment estimation method (ADAM). For each of these methods we offer a software implementation: for the former two methods we use Matlab and for the latter Python with the TensorFlow library. We test these methods on three data-sets: the synthetic data-set we generated, while the others represent real-life similarities between different objects. Extensive numerical results show that with sufficient computing time all four methods perform satisfactorily and ADAM most often yields the best mean square error (MSE). However, if the computation time is limited, FPM gives the best MSE because it shows the fastest convergence at the beginning. All data-sets and codes are publicly available on our GitLab profile. Copyright © 2020, The Authors. All rights reserved.

关键词： Non-negative matrix factorization

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Enhanced solar photothermal effect of PANi fabrics with plasmonic nanostructures

arXiv

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arXiv 2020年

作者： Nga, Do T. Phan, Anh D. Lam, Vu D. Woods, Lilia M. Wakabayashi, Katsunori Institute of Physics Vietnam Academy of Science and Technology 10 Dao Tan Ba Dinh Hanoi10000 Viet Nam Phenikaa Institute for Advanced Study Artificial Intelligence Laboratory Faculty of Computer Science Materials Science and Engineering Phenikaa University Hanoi12116 Viet Nam Department of Nanotechnology for Sustainable Energy School of Science and Technology Kwansei Gakuin University Sanda Hyogo669-1337 Japan Graduate University of Science and Technology Vietnam Academy of Science and Technology 18 Hoang Quoc Viet Hanoi Viet Nam Department of Physics University of South Florida TampaFL33620 United States

The photothermal energy conversion in hanging and floating polyaniline (PANi)-cotton fabrics is investigated using a model based on the heat diffusion equation. Perfect absorption and antireflection of wet hanging PANi-cotton fabrics cause quick transfer of total incident light into water confining nearly 100 % of the sunlight. As a result, a hanging membrane is found to have more attractive properties than a floating above water fabric. We find, however, that the photothermal properties of a floating PANi-cotton membrane can greatly be enhanced by dispersing TiN nanoparticles in the water below the fabric. The calculated temperature gradients for TiN nanoparticle solutions show that the absorbed energy grows with increasing the nanoparticle density and that the photothermal process occurs mostly near the surface. The collective heating effects depend on the size and density of nanoparticles, which can further be used to modulate the photothermal process. Copyright © 2020, The Authors. All rights reserved.

关键词： Cotton

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Individualization of Head Related Impulse Responses Using Division Analysis

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China Communications 2018年第5期15卷 92-103页

作者： Wei Chen Ruimin Hu Xiaochen Wang Cheng Yang Lian Meng National Engineering Research Center for Multimedia Software School of Computer Science.Wuhan UniversityWuhan 430072China Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan UniversityWuhan 430072China Collaborative Innovation Center of Geospatial Technology Wuhan 430079China School of Physics and Electronic Science Guizhou Normal UniversityGuiyang 550001China

For Virtual Reality(VR) to be truly immersive, it needs convincing sound to match. Due to the diversity of individual's anthropometric measurements, the individualized customization technology is needed to get convincing sound. In this paper, we proposed a simple and effective method for modeling relationships between anthropometric measurements and Head-related Impulse Response(HRIR). Considering the relationship between anthropometric measurements and different HRIR parts is complicated, we divided the HRIRs into small segments and carried out regression analysis between anthropometric measurements and each segment to establish relationship model. The results of objective simulation and subjective test indicate that the model can generate individualize HRIRs from a series of anthropometric measurements. With the individualized HRIRs, we can get more accurate acoustic localization sense than using non-individualized HRIRs.

关键词： HRIR Individualization Division analysis

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The ideal wavelength for daylight free-space quantum key distribution

APL Quantum

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APL Quantum 2024年第1期1卷

作者： Mostafa Abasifard Chanaprom Cholsuk Roberto G. Pousa Anand Kumar Ashkan Zand Thomas Riel Daniel K. L. Oi Tobias Vogl Abbe Center of Photonics Institute of Applied Physics Friedrich Schiller University Jena 07745 Jena Germany Department of Computer Engineering School of Computation Information and Technology Technical University of Munich 80333 Munich Germany Computational Nonlinear and Quantum Optics SUPA Department of Physics University of Strathclyde Glasgow G4 0NG United Kingdom University of Applied Sciences Wiener Neustadt 2700 Wiener Neustadt Austria Walton Institute for Information and Communication Systems Science South East Technological University Waterford X91 P20H Ireland

Quantum key distribution (QKD) has matured in recent years from laboratory proof-of-principle demonstrations to commercially available systems. One of the major bottlenecks is the limited communication distance in fiber networks due to the exponential signal damping. To bridge intercontinental distances, low Earth orbit satellites transmitting quantum signals over the atmosphere can be used. These free-space links, however, can only operate during the night, as the sunlight otherwise saturates the detectors used to measure the quantum states. For applying QKD in a global quantum internet with continuous availability and high data rates, operation during daylight is required. In this work, we model a satellite-to-ground quantum channel for different quantum light sources to identify the optimal wavelength for free-space QKD under ambient conditions. Daylight quantum communication is possible within the Fraunhofer lines or in the near-infrared spectrum, where the intrinsic background from the sun is comparably low. The highest annual secret key length considering the finite key effect is achievable at the Hα Fraunhofer line. More importantly, we provide the fundamental model that can be adapted, in general, to any other specific link scenario taking into account the required modifications. We also propose a true single-photon source based on a color center in hexagonal boron nitride coupled to a microresonator that can implement such a scheme. Our results can also be applied in roof-to-roof scenarios and are, therefore, relevant for near-future quantum networks.

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Influence of thermal radiation on ternary hybrid nanofluid with thermal non-equilibrium effects and activation energy: Implications for biomedical applications

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Journal of Radiation Research and Applied sciences 2025年第3期18卷

作者： Munawar Abbas Nidhal Becheikh Samira Elaissi Talib K. Ibrahim Mustafa Bayram Boutheyna Belhaj Bettaieb Ilyas Khan Hafiz Muhammad Ghazi Department of Mathematics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai 602105 Tamil Nadu India Department of Mathematics The Islamia University of Bahawalpur Bahawalpur 63100 Pakistan Mining Research Center Northern Border University P.O. Box 1321 Arar 91431 Saudi Arabia Department of Physics College of Sciences Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia Department of Petroleum Engineering College of Engineering Knowledge University Erbil 44001 Iraq Department of Petroleum Engineering Al-Kitab University Altun Kupri Iraq Department of Computer Engineering Biruni University 34010 Istanbul Turkey Engineering School (ENIG) RL Processes Energetic Environment and Electric Systems (PEESE) University of Gabes Gabes 6072 Tunisia Department of Mathematics College of Science Al-Zulfi Majmaah University Al-Majmaah 11952 Saudi Arabia Department of Information Engineering Technology National Skills University Islamabad 44310 Islamabad Pakistan

In this paper, the effects of thermal radiation on the trihybrid nanofluid with local thermal non-equilibrium effects within a stenotic artery are briefly discussed. This article discusses the importance of activation energy and convective conditions. In the current study, the features of heat transmission without LTECs (local thermal equilibrium conditions) are investigated using a simple mathematical model. Two distinct necessary thermal gradients are produced for both the solid and liquid phases using the LTNE conventional approach. In a trihybrid nanofluid containing titanium oxide, silver, and gold nanoparticles, blood is used as the base fluid. This model can aid in the understanding and enhancement of targeted drug delivery systems, which depend on the precise control of drug dispersion and heat distribution inside the bloodstream. Understanding the heat and mass transfer mechanisms in stenosed arteries can also aid in the development of sophisticated diagnostic methods for cardiovascular disorders. The idea can also be used in cancer treatments like hyperthermia, which involve carefully heating bodily tissue. PDEs have been transformed into dimensionless ODEs using an appropriate similarity variable approach. MATLAB, a mathematical programming environment, then solves the ODEs both numerically and visually using its integrated bvp4c solver.

关键词： Thermal radiation Trihybrid nanofluid Activation energy Local thermal non-equilibrium effects Implications for biomedical applications

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Path integral based convolution and pooling for graph neural networks 20

Path integral based convolution and pooling for graph neural...

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Proceedings of the 34th International Conference on Neural Information Processing Systems

作者： Zheng Ma Junyu Xuan Yu Guang Wang Ming Li Pietro Liò Department of Physics Princeton University Centre for Artificial Intelligence Faculty of Engineering and Information Technology University of Technology Sydney Max Planck Institute for Mathematics in the Sciences & School of Mathematics and Statistics University of New South Wales Department of Educational Technology Zhejiang Normal University Department of Computer Science and Technology University of Cambridge

ISBN: (纸本)9781713829546

Graph neural networks (GNNs) extends the functionality of traditional neural networks to graph-structured data. Similar to CNNs, an optimized design of graph convolution and pooling is key to success. Borrowing ideas from physics, we propose a path integral based graph neural networks (PAN) for classification and regression tasks on graphs. Specifically, we consider a convolution operation that involves every path linking the message sender and receiver with learnable weights depending on the path length, which corresponds to the maximal entropy random walk. It generalizes the graph Laplacian to a new transition matrix we call maximal entropy transition (MET) matrix derived from a path integral formalism. Importantly, the diagonal entries of the MET matrix are directly related to the subgraph centrality, thus lead to a natural and adaptive pooling mechanism. PAN provides a versatile framework that can be tailored for different graph data with varying sizes and structures. We can view most existing GNN architectures as special cases of PAN. Experimental results show that PAN achieves state-of-the-art performance on various graph classification/regression tasks, including a new benchmark dataset from statistical mechanics we propose to boost applications of GNN in physical sciences.

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Colossal enhancement of spin transmission through magnon confinement in an antiferromagnet

arXiv

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arXiv 2025年

作者： Husain, Sajid Ramesh, Maya Li, Xinyan Prokhorenko, Sergei Ojha, Shashank Kumar Ross, Aiden Das, Koushik Zhao, Boyang Park, Hyeon Woo Meisenheimer, Peter Nahas, Yousra Caretta, Lucas Martin, Lane W. Kim, Se Kwon Yao, Zhi Wen, Haidan Salahuddin, Sayeef Chen, Long-Qing Han, Yimo de Sousa, Rogério Bellaiche, Laurent Bibes, Manuel Schlom, Darrell G. Ramesh, Ramamoorthy Department of Materials Science and Engineering University of California BerkeleyCA94720 United States Rice University Materials Science and NanoEngineering HoustonTX United States Department of Materials Science and Engineering Cornell University IthacaNY14853 United States Rice Advanced Materials Institute Rice University HoustonTX77005 United States Smart Ferroic Materials Center Physics Department Institute for Nanoscience and Engineering University of Arkansas FayettevilleAR United States Department of Materials Science and Engineering Materials Research Institute Pennsylvania State University University ParkPA16802 United States Department of Electrical Engineering and Computer Sciences University of California BerkeleyCA94720 United States Department of Chemistry University of California BerkeleyCA94720 United States Materials Science Division Argonne National Laboratory LemontIL60439 United States Department of Physics Korea Advanced Institute of Science and Technology Daejeon Korea Republic of School of Engineering Brown University ProvidenceRI77005 United States Departments of Chemistry and Physics and Astronomy Rice University HoustonTX77005 United States Applied Mathematics and Computational Research Division Lawrence Berkeley National Laboratory CA94720 United States Advanced Photon Source Argonne National Laboratory LemontIL60439 United States Materials Science Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Rice Advanced Materials Institute Smalley-Curl Institute Ken Kennedy Institute Rice University HoustonTX77005 United States Department of Physics and Astronomy University of Victoria VictoriaBCV8W 2Y2 Canada Centre for Advanced Materials and Related Technology University of Victoria VictoriaBCV8W 2Y2 Canada Department of Materials Science and Engineering Tel Aviv University Ramat Aviv Tel Aviv6997801 Israel Laboratoire Albert Fert CNRS Thales Université Paris-Saclay Pa

Since Felix Bloch’s introduction of the concept of spin waves in 1930, magnons (the quanta of spin waves) have been extensively studied in a range of materials for spintronics, particularly for non-volatile logic-in-memory devices. Controlling magnons in conventional antiferromagnets and harnessing them in practical applications, however, remains a challenge. In this letter, we demonstrate highly efficient magnon transport in an LaFeO3/BiFeO3/LaFeO3 all-antiferromagnetic system which can be controlled electrically, making it highly desirable for energy-efficient computation. Leveraging spin-orbit-driven spin-charge transduction, we demonstrate that this material architecture permits magnon confinement in ultrathin antiferromagnets, enhancing the output voltage generated by magnon transport by several orders of magnitude, which provides a pathway to enable magnetoelectric memory and logic functionalities. Additionally, its non-volatility enables ultralow-power logic-in-memory processing, where magnonic devices can be efficiently reconfigured via electrically controlled magnon spin currents within magnetoelectric channels. © 2025, CC BY.

关键词： Antiferromagnetism

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