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Design of ZnO-VSe2 nanocomposite for high performance asymmetric supercapacitors

Scientific reports 2025年第1期15卷 17592页

作者： Danish Arif Rajwali Khan Atta Ullah Shah Kashif Safeen Khalid M Alotaibi Hayat Ullah Muhammad Zia Ullah Shah Wubshet Mekonnen Girma Akif Safeen Department of Physics University of Poonch Rawalakot Rawalakot 12350 Pakistan. National Institute of Lasers and Optronics College Pakistan Institute of Engineering and Applied Sciences Nilore Islamabad 45650 Pakistan. National Water and Energy Center United Arab Emirates University Al Ain 15551 United Arab Emirates. rajwali@uaeu.ac.ae. Department of Physics Abdul Wali Khan University Mardan Mardan 23200 Pakistan. Department of Chemistry College of Science King Saud University PO Box 2455 11541 Riyadh Saudi Arabia. Material Modeling and Simulation Laboratory Department of Physics Women University of Azad Jammu and Kashmir Bagh Pakistan. Faculty of Materials Science and Engineering Kunming University of Science and Technology Kunming 650093 China. Department of Chemistry College of Natural Science Wollo University P.O. Box 1145 Dessie Ethiopia. wubshet.mekonnen@wu.edu.et. Department of Physics University of Poonch Rawalakot Rawalakot 12350 Pakistan. akifsafeen@upr.edu.pk.

Supercapacitors exhibit limitations such as low energy density, high self-discharge rates, and degradation of electrochemical performance over extended cycling. This study presents the development of a high-performance asymmetric supercapacitor by synthesizing novel ZnO-VSe nanocomposites through wet-chemical methods, aiming to enhance capacity, energy density, and durability. The capacitive performance of these materials was systematically evaluated in an aqueous alkaline electrolyte (KOH) at a concentration of 2 M. ZnO-VSe composite demonstrates superior electrochemical energy storage capabilities, achieving a specific capacitance of 898 F/g and reducing overall resistance, enabling rapid electrolyte diffusion. These optimized electrochemical characteristics underscore the potential of ZnO-VSe for energy storage applications. Specifically, the ZnO-VSe||AC asymmetric supercapacitor achieved an impressive capacitance of 260 F/g, an energy density of 71 Wh/kg, and a maximum power output of 6948 W/kg, along with a remarkable stability of 89.1% at a current density of 10 A/g over 5000 cycles. The proposed methodology offers a cost-effective and promising approach for evolving high-energy hybrid supercapacitors for energy storage applications.

关键词： Composite materials Energy density Specific capacitance Supercapacitor VSe2 ZnO

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Cover Feature: Tailoring the Performance of ZnO for Oxygen Evolution by Effective Transition Metal Doping (ChemSusChem 15/2021)

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ChemSusChem 2021年第15期14卷

作者： Qiuhua Liang Prof. Geert Brocks Dr. Vivek Sinha Dr. Anja Bieberle-Hütter Electrochemical Materials and Interfaces (EMI) Dutch Institute for Fundamental Energy Research (DIFFER) De Zaale 20 5612 AJ Eindhoven The Netherlands Materials Simulation and Modeling (MSM) Department of Applied Physics Eindhoven University of Technology P.O. Box 513 5600 MB Eindhoven The Netherlands Center for Computational Energy Research (CCER) P.O. Box 513 5600 MB Eindhoven The Netherlands Computational Materials Science Faculty of Science and Technology and MESA+ Institute for Nanotechnology University of Twente P.O. Box 217 7500 AE Enschede The Netherlands Process and Energy (P&E) Department Faculty of Mechanical Maritime and Materials Engineering (3mE) Delft University of Technology Leeghwaterstraat 39 2628CB Delft The Netherlands

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Diffuse interface models of solidification with convection: The choice of a finite interface thickness

arXiv

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arXiv 2019年

作者： Subhedar, Amol Galenko, Peter K. Varnik, Fathollah Institute for Digital Materials Science Karlsruhe University of Applied Sciences Moltkestraße 30 Karlsruhe76133 Germany Physikalisch-Astronomische Fakultät Friedrich-Schiller-Universität-Jena Jena07743 Germany Department of Theoretical and Mathematical Physics Laboratory of Multi-Scale Mathematical Modeling Ural Federal University Lenin ave. 51 Ekaterinburg620000 Russia Interdisciplinary Centre for Advanced Materials Simulation Ruhr-Universität Bochum Universitätsstrasse 150 Bochum44780 Germany

The thin interface limit aims at minimizing the effects arising from a numerical interface thickness, inherent in diffuse interface models of solidification and microstructure evolution such as the phase field model. While the original formulation of this problem is restricted to transport by diffusion, we consider here the case of melt convection. Using an analysis of the coupled phase field-fluid dynamic equations, we show here that such a thin interface limit does also exist if transport contains both diffusion and convection. This prediction is tested by comparing simulation studies, which make use of the thin-interface condition, with an analytic sharp-interface theory for dendritic tip growth under convection. Copyright © 2019, The Authors. All rights reserved.

关键词： Solidification

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Self-Compassion Around the World: Measurement Invariance of the Short Form of the Self-Compassion Scale (SCS-SF) Across 65 Nations, 40 Languages, Gender Identities, and Age Groups

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Mindfulness 2025年 1-28页

作者： Swami, Viren Tran, Ulrich S. Voracek, Martin Aavik, Toivo Ranjbar, Hamed Abdollahpour Adebayo, Sulaiman Olanrewaju Afhami, Reza Ahmed, Oli Aimé, Annie Akel, Marwan Al Halbusi, Hussam Alexias, George Ali, Khawla F. Alp-Dal, Nursel Alsalhani, Anas B. Álvarez-Solas, Sara Amaral, Ana Carolina Soares Andrianto, Sonny Aspden, Trefor Argyrides, Marios Aruta, John Jamir Benzon R. Atkin, Stephen Ayandele, Olusola Baceviciene, Migle Bahbouh, Radvan Ballesio, Andrea Barron, David Bellard, Ashleigh Bender, Sóley Sesselja Beydaǧ, Kerime Derya Birovljević, Gorana Blackburn, Marie-Ève Borja-Alvarez, Teresita Borowiec, Joanna Bozogáňová, Miroslava Bratland-Sanda, Solfrid Browning, Matthew H. E. M. Brytek-Matera, Anna Burakova, Marina Çakır-Koçak, Yeliz Camacho, Pablo Camilleri, Vittorio Emanuele Cazzato, Valentina Cerea, Silvia Chaiwutikornwanich, Apitchaya Chaleeraktrakoon, Trawin Chambers, Tim Chen, Qing-Wei Chen, Xin Chien, Chin-Lung Chobthamkit, Phatthanakit Choompunuch, Bovornpot Compte, Emilio J. Corrigan, Jennifer Cosmas, Getrude Cowden, Richard G. Czepczor-Bernat, Kamila Czub, Marcin da Silva, Wanderson Roberto Dadfar, Mahboubeh Dalley, Simon E. Dany, Lionel Datu, Jesus Alfonso D. de Carvalho, Pedro Henrique Berbert de Holanda Coelho, Gabriel Lins De Jesus, Avila Odia S. Debbabi, Sonia Harzallah Dhakal, Sandesh Di Bernardo, Francesca Dimitrova, Donka D. Dion, Jacinthe Dixson, Barnaby Donofrio, Stacey M. Drysch, Marius Du, Hongfei Dzhambov, Angel M. El-Jor, Claire Enea, Violeta Eskin, Mehmet Farbod, Farinaz Farrugia, Lorleen Fian, Leonie Fisher, Maryanne L. Folwarczny, Michał Frederick, David A. Fuller-Tyszkiewicz, Matthew Furnham, Adrian García, Antonio Alías Geller, Shulamit Ghisi, Marta Ghorbani, Alireza Martinez, Maria Angeles Gomez Gradidge, Sarah Graf, Sylvie Grano, Caterina Gyene, Gyöngyvér Hallit, Souheil Hamdan, Motasem Handelzalts, Jonathan E. Hanel, Paul H. P. Hawks, Steven R. Hekmati, Issa Helmy, Mai Hill, Tetiana Hina, Farah Holenweger, Geraldine Hřebíčková, Martina Ijabadeniyi, Olasupo Augustine Imam, Asma İ School of Psychology and Sport Science Anglia Ruskin University Cambridge United Kingdom Centre for Psychological Medicine Perdana University Kuala Lumpur Malaysia Department of Cognition Emotion and Methods in Psychology Faculty of Psychology University of Vienna Vienna Austria Institute of Psychology University of Tartu Tartu Estonia Department of Psychology Istinye University Istanbul Turkey Department of Psychology and Behavioural Studies Ekiti State University Ado-Ekiti Nigeria Department of Art Studies Tarbiat Modares University Tehran Iran Department of Psychology University of Chittagong Chattogram Bangladesh Department of Psychoeducation and Psychology Université du Québec en Outaouais Saint-Jérôme Canada INSPECT-LB: National Institute of Public Health Clinical Epidemiology and Toxicology Beirut Lebanon School of Pharmacy Lebanese International University Beirut Lebanon Department of Management Ahmed Bin Mohammad Military College Doha Qatar Faculty of Psychology Panteion University of Social and Political Sciences Athens Greece Royal College of Surgeons Ireland-Bahrain Adliya Bahrain Department of Midwifery Faculty of Health Sciences Munzur University Tunceli Turkey Department of Oral Medicine and Diagnostic Sciences Vision College of Dentistry and Nursing Vision Colleges Riyadh Saudi Arabia Facultad de Salud Universidad Internacional de La Rioja Logroño Spain Science and Technology of Southeast Minas Gerais Federal Institute of Education Barbacena Brazil Department of Psychology Universitas Islam Indonesia Yogyakarta Indonesia Department of Psychology Aberystwyth University Ceredigion United Kingdom Department of Psychology Neapolis University Pafos Paphos Cyprus Department of Psychology De La Salle University Manila Philippines Department of General Studies The Polytechnic Ibadan Nigeria Department of Psychology University of Ibadan Ibadan Nigeria Health Research and Innovation Science Centre Faculty of Health Sciences Klai

Objectives: The 12-item Self-Compassion Scale–Short Form (SCS–SF) is a widely used instrument for the assessment of self-compassion. To date, there have been few examinations of this instrument’s psychometric properties, particularly across nations and languages. Therefore, we used data from the Body Image in Nature Survey (BINS) to assess measurement invariance of the SCS–SF across nations, languages, gender identities, and age groups. Methods: Participants (N = 56,968) from 65 nations completed the SCS–SF in 40 languages. Using these data, we tested various hypothesised models of the SCS–SF in the total sample and, using multi-group confirmatory factor analysis, tested for invariance of the optimal model across national groups, languages, gender identities, and age groups. Results: In the total dataset, we found that an 11-item, 2-factor model (i.e., SCS-11) provided best fit to the data, with the two factors tapping distinct constructs of compassionate and uncompassionate self-responding. The SCS-11 was found to be partially scalar invariant across national groups and languages, and fully scalar invariant across gender identities and age groups. There was wide variation in latent means for the two factors, particularly across national groups and languages. Further analyses showed negligible associations between the two factors and sociodemographic variables, including marital status, financial security, and urbanicity. Conclusions: Our results suggest that it may be possible to derive a stable 2-factor model of the SCS–SF for use in cross-cultural research, but also highlight the likelihood of cross-national and cross-linguistic variations in the way that self-compassion is understood. © The Author(s) 2025.

关键词： Cross-cultural Measurement invariance Multi-group confirmatory factor analysis (MG-CFA) Self-Compassion Scale Short Form

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Wannier90 as a community code: New features and applications

arXiv

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arXiv 2019年

作者： Pizzi, Giovanni Vitale, Valerio Arita, Ryotaro Blugel, Stefan Freimuth, Frank Geranton, Guillaume Gibertini, Marco Gresch, Dominik Johnson, Charles Koretsune, Takashi Ibanez-Azpiroz, Julen Lee, Hyungjun Lihm, Jae-Mo Marchand, Daniel Marrazzo, Antimo Mokrousov, Yuriy Mustafa, Jamal I. Nohara, Yoshiro Nomura, Yusuke Paulatto, Lorenzo Ponce, Samuel Ponweiser, Thomas Qiao, Junfeng Thole, Florian Tsirkin, Stepan S. Wierzbowska, Malgorzata Marzari, Nicola Vanderbilt, David Souza, Ivo Mosto, Arash A. Yates, Jonathan R. Theory and Simulation of Materials National Centre for Computational Design and Discovery of Novel Materials Ecole Polytechnique Federale de Lausanne LausanneCH-1015 Cavendish Laboratory Department of Physics University of Cambridge CambridgeCB30HE Departments of Materials and Physics Thomas Young Centre for Theory and Simulation of Materials Imperial College London LondonSW72AZ RIKEN Center for Emergent Matter Science 2-1 Hirosawa Wako Saitama351-0198 Department of Applied Physics University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Peter Grunberg Institut Institute for Advanced Simulation JARA Julich52425 Department of Quantum Matter Physics University of Geneva Geneva ETH Zurich Zurich Departments of Materials and Physics Imperial College London LondonSW72AZ Department of Physics Tohoku University Sendai JST PRESTO Kawaguchi Saitama Centro de Fisica de Materiales Universidad Del Pais Vasco San SebastianE-20018 Institute of Physics Ecole Polytechnique Federale de Lausanne LausanneCH-1015 Korea Institute for Advanced Study Hoegiro 85 Seoul02455 Department of Physics Center for Theoretical Physics Seoul National University Seoul08826 Laboratory for Multiscale Mechanics Modeling Ecole Polytechnique Federale de Lausanne Lausanne Institute of Physics Jonannes-Gutenberg University of Mainz Mainz55099 Department of Physics University of California BerkeleyCA94720 United States ASMS Co. Ltd. 1-7-11 Higashi-Gotanda Shinagawa-ku Tokyo141-0022 Institut de Mineralogie de Physique des Materiaux et de Cosmochimie Sorbonne Universite CNRS Case 115 4 place Jussieu Paris Cedex75252 Department of Materials University of Oxford Parks Road OxfordOX13PH Research Institute for Symbolic Computation Johannes Kepler University Altenberger Strae 69 Linz4040 Fert Beijing Institute School of Microelectronics BDBC Beihang University Beijing Materials Theory ETH Zurich Wolfgang-Pauli-Strasse 27 ZurichCH-8093 Department of Physics University of Zurich

Wannier90 is an open-source computer program for calculating maximally-localised Wannier functions (MLWFs) from a set of Bloch states. It is interfaced to many widely used electronicstructure codes thanks to its independence from the basis sets representing these Bloch states. In the past few years the development of Wannier90 has transitioned to a community-driven model;this has resulted in a number of new developments that have been recently released in Wannier90 v3.0. In this article we describe these new functionalities, that include the implementation of new features for wannierisation and disentanglement (symmetry-adapted Wannier functions, selectivelylocalised Wannier functions, selected columns of the density matrix) and the ability to calculate new properties (shift currents and Berry-curvature dipole, and a new interface to many-body perturbation theory);performance improvements, including parallelisation of the core code;enhancements in functionality (support for spinor-valued Wannier functions, more accurate methods to interpolate quantities in the Brillouin zone);improved usability (improved plotting routines, integration with high-throughput automation frameworks), as well as the implementation of modern software engineering practices (unit testing, continuous integration, and automatic source-code documentation). These new features, capabilities, and code development model aim to further sustain and expand the community uptake and range of applicability, that nowadays spans complex and accurate dielectric, electronic, magnetic, optical, topological and transport properties of materials. Copyright © 2019, The Authors. All rights reserved.

关键词： Open source software

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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