检索结果-内蒙古大学图书馆

2018 Workshop on Multidisciplinary and Its Applications: Applied Mathematics, computer Science, Information systems, and Information technology, WMA-Mathcomtech 2018

作者： Mustakim Herianda, Della Maulina Ilham, Ahmad Daeng Gs, Achmad Laumal, Folkes E. Kurniasih, Nuning Iskandar, Akbar Manulangga, Gloria Indra Iswara, Ida Bagus Ary Rahim, Robbi Puzzle Research Data Technology UIN Sultan Syarif Kasim Riau Indonesia Department of Information System UIN Sultan Syarif Kasim Riau Indonesia Informatics Department Universitas Muhammadiyah Semarang Semarang Indonesia Department of Management University of 45 Surabaya Surabaya Indonesia Department of Electrical Engineering Politeknik Negeri Kupang Kupang Indonesia Faculty of Communication Sciences Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Informatics Engineering STMIK AKBA Makassar Indonesia Informatics Department STMIK STIKOM Indonesia Denpasar Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Kubang Gajah Malaysia

Berkah Mart is one of the new minimarkets in Pekanbaru city which began to develop as a retail business to meet the needs of the community. In his operation, Berkah Mart still uses the traditional store management perception that the placement of product layout on sale shelves has not been through sales analysis. Existing products have not been reviewed from the consumer's point of view, whereas the marketing economics concept provides a variety of product and consumer management methods for business management in Berkah Mart, including market bucket analysis techniques and various itemset search algorithms. In this research, Market Basket Basket Analysis with FP-Growth algorithm is proposed to determine the layout and planning of goods availability. The application of FP-Growth algorithm proved to be useful in generating many and informative association rules to find out the consumer spending pattern at Berkah Mart in Pekanbaru. Moreover, from the rules of the customer association can be segmented separately to meet the specific needs of customers with cost-effective by using some special promotions for the general group. The experimental results show that FP-Growth algorithm can analyze quickly and efficiently informing consumer shopping pattern at Berkah Mart and can increase Berkah Mart revenue. © Published under licence by IOP Publishing Ltd.

关键词： Sales

来源：评论

学校读者我要写书评

暂无评论

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for computer Vision

arXiv

引用

arXiv 2023年

作者： Li, Jianning Zhou, Zongwei Yang, Jiancheng Pepe, Antonio Gsaxner, Christina Luijten, Gijs Qu, Chongyu Zhang, Tiezheng Chen, Xiaoxi Li, Wenxuan Wodzinski, Marek Friedrich, Paul Xie, Kangxian Jin, Yuan Ambigapathy, Narmada Nasca, Enrico Solak, Naida Melito, Gian Marco Vu, Viet Duc Memon, Afaque R. Schlachta, Christopher De Ribaupierre, Sandrine Patel, Rajnikant Eagleson, Roy Chen, Xiaojun Mächler, Heinrich Kirschke, Jan Stefan de la Rosa, Ezequiel Christ, Patrick Ferdinand Li, Hongwei Bran Ellis, David G. Aizenberg, Michele R. Gatidis, Sergios Küstner, Thomas Shusharina, Nadya Heller, Nicholas Andrearczyk, Vincent Depeursinge, Adrien Hatt, Mathieu Sekuboyina, Anjany Löffler, Maximilian Liebl, Hans Dorent, Reuben Vercauteren, Tom Shapey, Jonathan Kujawa, Aaron Cornelissen, Stefan Langenhuizen, Patrick Ben-Hamadou, Achraf Rekik, Ahmed Pujades, Sergi Boyer, Edmond Bolelli, Federico Grana, Costantino Lumetti, Luca Salehi, Hamidreza Ma, Jun Zhang, Yao Gharleghi, Ramtin Beier, Susann Sowmya, Arcot Garza-Villarreal, Eduardo A. Balducci, Thania Angeles-Valdez, Diego Souza, Roberto Rittner, Leticia Frayne, Richard Ji, Yuanfeng Ferrari, Vincenzo Chatterjee, Soumick Dubost, Florian Schreiber, Stefanie Mattern, Hendrik Speck, Oliver Haehn, Daniel John, Christoph Nürnberger, Andreas Pedrosa, João Ferreira, Carlos Aresta, Guilherme Cunha, António Campilho, Aurélio Suter, Yannick Garcia, Jose Lalande, Alain Vandenbossche, Vicky Van Oevelen, Aline Duquesne, Kate Mekhzoum, Hamza Vandemeulebroucke, Jef Audenaert, Emmanuel Krebs, Claudia van Leeuwen, Timo Vereecke, Evie Heidemeyer, Hauke Röhrig, Rainer Hölzle, Frank Badeli, Vahid Krieger, Kathrin Gunzer, Matthias Chen, Jianxu van Meegdenburg, Timo Dada, Amin Balzer, Miriam Fragemann, Jana Jonske, Frederic Rempe, Moritz Malorodov, Stanislav Bahnsen, Fin H. Seibold, Constantin Jaus, Alexander Marinov, Zdravko Jaeger, Paul F. Stiefelhagen, Rainer Santos, Ana Sofia Lindo, Mariana Ferreira, André Alves, Victor Kamp, Michael Abourayya, Amr Nensa, Felix Hörst, Fabian Brehmer, Alexander Hein Girardetstraße 2 Essen45131 Germany Graz University of Technology Inffeldgasse 16c Graz8010 Austria Graz Austria The Department of Computer Science Johns Hopkins University Malone Hall 3400 N Charles St BaltimoreMD21218 United States Rte Cantonale Lausanne1015 Switzerland The Department of Measurement and Electronics AGH University of Science and Technology Krakow Poland Sierre Switzerland Department of Biomedical Engineering University of Basel Hegenheimermattweg Allschwil167C CH-4123 Switzerland The Boston College 140 Commonwealth Ave Chestnut HillMA02467 United States University Hospital B7-200 339 Windermere Road LondonN6A 5A5 Canada The Department of Radiology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai200240 China The Research Center for Connected Healthcare Big Data ZhejiangLab Zhejiang Hangzhou311121 China The Faculty of Statistics Technical University Dortmund August-Schmidt-Straße 1 Dortmund44227 Germany The Institute of Mechanics Graz University of Technology Kopernikusgasse 24/IV Graz8010 Austria The Institute of Biomedical Manufacturing and Life Quality Engineering State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China The Department of Cardiac Surgery Medical University Graz Auenbruggerplatz 29 Graz8036 Austria The Department of Diagnostic and Interventional Radiology University Hospital Giessen Justus-Liebig-University Giessen Klinikstraße 33 Giessen35392 Germany The Department of Mechanical Engineering Mehran University of Engineering and Technology Jamshoro Sindh76062 Pakistan The Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China The Geschäftsführender Oberarzt Abteilung für Interventionelle und Diagnostische Neuroradiologie Universitätsklinikum der Technischen Universität München Ismaningerstr. 22 München81675 Germany icometrix Kolonel Be

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from numerous shape-related publications in premier vision conferences as well as the growing popularity of ShapeNet (about 51,300 models) and Princeton ModelNet (127,915 models). For the medical domain, we present a large collection of anatomical shapes (e.g., bones, organs, vessels) and 3D models of surgical instrument, called MedShapeNet, created to facilitate the translation of data-driven vision algorithms to medical applications and to adapt SOTA vision algorithms to medical problems. As a unique feature, we directly model the majority of shapes on the imaging data of real patients. As of today, MedShapeNet includes 23 datasets with more than 100,000 shapes that are paired with annotations (ground truth). Our data is freely accessible via a web interface and a Python application programming interface (API) and can be used for discriminative, reconstructive, and variational benchmarks as well as various applications in virtual, augmented, or mixed reality, and 3D printing. Exemplary, we present use cases in the fields of classification of brain tumors, skull reconstructions, multi-class anatomy completion, education, and 3D printing. In future, we will extend the data and improve the interfaces. The project pages are: https://***/ and https://***/Jianningli/*** Codes 68T01 © 2023, CC BY.

关键词： Large dataset

来源：评论

学校读者我要写书评

暂无评论

Development of tactile-proprioceptive display and effect evaluation of local area vibration presentation method

Development of tactile-proprioceptive display and effect eva...

引用

作者： Sakai, Tadahiro Handa, Takuya Sakajiri, Masatsugu Shimizu, Toshihiro Hiruma, Nobuyuki Onishi, Junji Advanced Technology Development and Research Division NHK Engineering System Inc. 1-10-11 Kinuta Setagaya-ku Tokyo Japan Human Interface Research Division NHK Science and Technology Research Laboratories 1-10-11 Kinuta Setagaya-ku Tokyo Japan Department of Computer Science Faculty of Faculty of Health Science Tsukuba University of Technology 4-12-7 Kasuga Tsukuba Ibaraki305-8521 Japan

We propose a new method of presenting two-dimensional information, such as figures and graphs, on a tactile display so that visually impaired people are able to perceive them quickly and accurately. The new presentation method is developed for a tactile-proprioceptive display, which can present information on not only conventional "concave-convex" tactile display, but also vibration presentation in arbitrary area on a tactile display and mechanical leading presentation by mechanically leading user's fingers using haptic device. In this paper, we outline the abovementioned two presentation method and the developed tactile-prop display, and objectively evaluate the effects of the local area vibration presentation method as an integral part of the tactile-prop display in comparison with the conventional "concave-convex" presentation method. We conducted experiments to evaluate the effects of the proposed local area vibration presentation method using two typical content patterns. In Experiment 1, discreetly dispersed objects are searched, and in Experiment 2, the cross graphs of line segments are distinguished and perceived. The experiments have proved that the method is effective in reducing search and cognitive time as well as identifying the correct cognition of cross graphs, as compared to the "concave-convex" tactile presentation method.

关键词： Display devices

来源：评论

学校读者我要写书评

暂无评论

Teaching in the Age of Covid-19

引用

Postdigital Science and Education 2020年第3期2卷 1069-1230页

作者： Jandrić, Petar Hayes, David Truelove, Ian Levinson, Paul Mayo, Peter Ryberg, Thomas Monzó, Lilia D. Allen, Quaylan Stewart, Paul Alexander Carr, Paul R. Jackson, Liz Bridges, Susan Escaño, Carlos Grauslund, Dennis Mañero, Julia Lukoko, Happiness Onesmo Bryant, Peter Fuentes-Martinez, Ana Gibbons, Andrew Sturm, Sean Rose, Jennifer Chuma, Mohamed Muhibu Biličić, Eva Pfohl, Sarah Gustafsson, Ulrika Arantes, Janine Aldous Ford, Derek R. Kihwele, Jimmy Ezekiel Mozelius, Peter Suoranta, Juha Jurjević, Lucija Jurčević, Matija Steketee, Anne Irwin, Jones White, E. Jayne Davidsen, Jacob Jaldemark, Jimmy Abegglen, Sandra Burns, Tom Sinfield, Sandra Kirylo, James D. Kokić, Ivana Batarelo Stewart, Georgina Tuari Rikowski, Glenn Christensen, Line Lisberg Arndt, Sonja Pyyhtinen, Olli Reitz, Charles Lodahl, Mikkel Humble, Niklas Buchanan, Rachel Forster, Daniella J. Kishore, Pallavi Ozoliņš, Jānis John Sharma, Navreeti Urvashi, Shreya Nejad, Harry G. Hood, Nina Tesar, Marek Wang, Yang Wright, Jake Brown, James Benedict Prinsloo, Paul Kaur, Kulpreet Mukherjee, Mousumi Novak, Rene Shukla, Richa Hollings, Stephanie Konnerup, Ulla Mallya, Madhav Olorundare, Anthony Achieng-Evensen, Charlotte Philip, Abey P Hazzan, Moses Kayode Stockbridge, Kevin Komolafe, Blessing Funmi Bolanle, Ogunyemi Folasade Hogan, Michael Redder, Bridgette Sattarzadeh, Sahar D. Jopling, Michael SooHoo, Suzanne Devine, Nesta Hayes, Sarah Zagreb University of Applied Sciences Zagreb Croatia Education Observatory University of Wolverhampton Wolverhampton UK Further Education Worcester UK Leeds Beckett University Leeds UK Fordham University New York City USA University of Malta Msida Malta Depatment of Communication and Psychology Aalborg University Aalborg Denmark Attallah College of Educational Studies Chapman University Orange USA MIMA School of Art and Design Teesside University Middlesbrough UK Département des sciences d l’éducation Université du Québec en Outaouais Québec Canada The University of Hong Kong Hong Kong China University of Seville Seville Spain University College of Northern Denmark Aalborg Denmark Higher Education & Student Affairs Beijing Normal University Beijing China University of Sydney Sydney Australia Katedralskolan (Lund) Lund Sweden University West Trollhättan Sweden School of Education Auckland University of Technology Auckland New Zealand Faculty of Education and Social Work University of Auckland Auckland New Zealand School of Social Science Education and Social Work Queen’s University Belfast Belfast United Kingdom Faculty of Education Beijing Normal University Beijing China Department of Art & Design University of Indianapolis Indianapolis USA Department of Applied Educational Science Umeå University Umeå Sweden University of Newcastle Callaghan Australia Victoria University Melbourne Australia DePauw University Greencastle USA Department of Education Mzumbe University Morogoro Tanzania Mid Sweden University Östersund Sweden Faculty of Social Sciences Tampere University Tampere Finland School of Human Development Institute of Education Dublin City University Dublin Republic of Ireland RMIT Melbourne Australia Aalborg University Aalborg Denmark Department of Education Mid Sweden University Sundsvall Sweden School of Architecture Planning and Landscape University of Calgary Calgary Canada Centre for Professional and Educational Dev

来源：评论

学校读者我要写书评

暂无评论

The implementation of two stages clustering (k-means clustering and adaptive neuro fuzzy inference system) for prediction of medicine need based on medical data

引用

Journal of Physics: Conference Series 2018年第1期978卷

作者： A M Husein M Harahap S Aisyah W Purba A Muhazir Computer Science Departement Faculty of Technology and Computer Science Universitas Prima Indonesia Medan Sumatera Utara 20111 Indonesia Information System Departement Faculty of Technology and Computer Science Universitas Prima Indonesia Medan Sumatera Utara 20111 Indonesia Computer Science Departement Faculty of Industry Technology Institut Teknologi Medan Medan Sumatera Utara 20217 Indonesia

Medication planning aim to get types, amount of medicine according to needs, and avoid the emptiness medicine based on patterns of disease. In making the medicine planning is still rely on ability and leadership experience, this is due to take a long time, skill, difficult to obtain a definite disease data, need a good record keeping and reporting, and the dependence of the budget resulted in planning is not going well, and lead to frequent lack and excess of medicines. In this research, we propose Adaptive Neuro Fuzzy Inference system (ANFIS) method to predict medication needs in 2016 and 2017 based on medical data in 2015 and 2016 from two source of hospital. The framework of analysis using two approaches. The first phase is implementing ANFIS to a data source, while the second approach we keep using ANFIS, but after the process of clustering from K-Means algorithm, both approaches are calculated values of Root Mean Square Error (RMSE) for training and testing. From the testing result, the proposed method with better prediction rates based on the evaluation analysis of quantitative and qualitative compared with existing systems, however the implementation of K-Means Algorithm against ANFIS have an effect on the timing of the training process and provide a classification accuracy significantly better without clustering.

关键词：

来源：评论

学校读者我要写书评

暂无评论

引用

作者： Nguyen, Linh Anh Nguyen, Thi Hong Khanh Nguyen, Ngoc-Thanh Ha, Quang-Thuy Division of Knowledge and System Engineering for ICT Faculty of Information Technology Ton Duc Thang University Ho Chi Minh City Viet Nam Institute of Informatics University of Warsaw Warsaw Poland Electric Power University Hoang Quoc Viet Tu Liem Hanoi Viet Nam Department of Information Systems Faculty of Computer Science and Management Wroclaw University of Science and Technology Str. Wyb. Wyspianskiego 27 Wroclaw50-370 Poland Faculty of Information Technology VNU University of Engineering and Technology Xuan Thuy Hanoi Viet Nam

We introduce comparisons w.r.t. information between interpretations in paraconsistent description logics and use them to define bisimilarity for such logics. This notion is useful for concept learning in description logics when inconsistencies occur. We give preservation results and the Hennessy-Milner property for comparisons w.r.t. information in paraconsistent description logics. As consequences, we obtain also invariance results and the Hennessy-Milner property for bisimilarity in paraconsistent description logics. © 2017 - IOS Press and the authors. All rights reserved.

关键词： Data description

来源：评论

学校读者我要写书评

暂无评论

Automated color classification of urine dipstick image in urine examination

引用

Journal of Physics: Conference Series 2018年第1期978卷

作者： R F Rahmat Royananda M A Muchtar R Taqiuddin S Adnan R Anugrahwaty R Budiarto Department of Information Technology Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Faculty of Engineering Politeknik Negeri Medan Medan Indonesia Department of Information System College of Computer Science and Information Technology Albaha University Saudi Arabia.

Urine examination using urine dipstick has long been used to determine the health status of a person. The economical and convenient use of urine dipstick is one of the reasons urine dipstick is still used to check people health status. The real-life implementation of urine dipstick is done manually, in general, that is by comparing it with the reference color visually. This resulted perception differences in the color reading of the examination results. In this research, authors used a scanner to obtain the urine dipstick color image. The use of scanner can be one of the solutions in reading the result of urine dipstick because the light produced is consistent. A method is required to overcome the problems of urine dipstick color matching and the test reference color that have been conducted manually. The method proposed by authors is Euclidean Distance, Otsu along with RGB color feature extraction method to match the colors on the urine dipstick with the standard reference color of urine examination. The result shows that the proposed approach was able to classify the colors on a urine dipstick with an accuracy of 95.45%. The accuracy of color classification on urine dipstick against the standard reference color is influenced by the level of scanner resolution used, the higher the scanner resolution level, the higher the accuracy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Medium sized industrial motor solutions to mitigate the issue of high inrush starting current

引用

AIP Conference Proceedings 2021年第1期2339卷

作者： N. S. Azizan M. M. Azizan M. I. Fahmi M. Z. Aihsan M. Jusoh N. F. M. Nasir M. Z. Zakaria 1Wisma Standard Chartered Jalan Teknologi 8 Taman Teknologi Malaysia 57000 Kuala Lumpur Wilayah Persekutuan Kuala Lumpur Malaysia 2School of Electrical System Engineering. Universiti Malaysia Perlis Pauh Putra Campus 02600 Arau Perlis Malaysia 3Department of Electrical Engineering Faculty of Engineering Technology Universiti Malaysia Perlis (UniMAP) Kampus UniCITI Alam Sungai Chuchuh Padang Besar 02100 Perlis Malaysia 4School of Computer and Communication Engineering Universiti Malaysia Perlis Pauh Putra Campus 02600 Arau Perlis Malaysia 5School of Mechatronic Engineering Universiti Malaysia Perlis Pauh Putra Campus 02600 Arau Perlis Malaysia 6School of Manufacturing Engineering Universiti Malaysia Perlis Pauh Putra Campus 02600 Arau Perlis Malaysia

Starting of a medium or large induction motors generate such a large current during direct-on-line (DOL) starting process to the point that it can drop the voltage of power supply. The induction motor can be broken, its characteristics can be changed, and performances of the motor can be worsened. A significant higher starting current than the rated current can generate mechanical and thermal stress on the motor and the loads. High-voltage fluctuations, dips and sags can arise in electrical power systems associated with the motor. To overcome this problem, various starters were designed. There are several types of starters in which can be divided into conventional starters and power electronic drives. Conventional starters are such as direct-online, star-delta and autotransformer whereas the example for power electronics are matrix converter, frequency inverter and soft starter. In this paper, the design of autotransformer and soft starter are focused in order to compare inrush current during the start-up three phase medium sized industrial induction motor by using MATLAB/Simulink software. Both starters were targeted to resolve the problems inherent in the dynamic operation of induction motors, which included current and torque surges during the motor start up. The autotransformer gives the choice to consumer in selecting different tap values, in which is the advantage to consumer to vary their starting current and starting torque according to its application. On the other hand, the three-phase soft starter employs two anti-parallel connected switches in each phase. Thyristors act as the switches due to their higher power rating and high efficiency. Then, both methods will be compared to prove the best performance in mitigate high inrush current. The best of the two is likely to be the answer for mitigating the issue of high inrush starting current for a medium size motor at industries.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Retracted: LUC Algorithm in Visual Cryptography

Retracted: LUC Algorithm in Visual Cryptography

引用

2018 Workshop on Multidisciplinary and Its Applications: Applied Mathematics, computer Science, Information systems, and Information technology, WMA-Mathcomtech 2018

作者： Achmad Daengs, G.S. Ratnadewi Alpha, Christian Dio Napitupulu, Darmawan Nurdiyanto, Heri Kurniasih, Nuning Hasibuan, Abdurrozaq Daengs, Achmad Manurung, Rosida Tiurma Mulyaningsih, Indrya Rahim, Robbi Sugianto, Castaka Agus Abdullah, Dahlan Department of Electrical Engineering Universitas Kristen Maranatha Bandung Indonesia Research Center for Quality System and Testing Technology Indonesian Institute of Sciences Banten Indonesia STMIK Dharma Wacana Indonesia Faculty of Communication Sciences Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Universitas Islam Sumatera Utara Indonesia University of 45 Surabaya Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Bandung Indonesia Department of Education Institut Agama Islam Negeri Syekh Nurjati Cirebon Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Kubang Gajah Malaysia Politeknik TEDC Bandung Indonesia Department of Informatics Universitas Malikussaleh Aceh Utara Indonesia

Nowadays, messaging technology in digital data form more often used and not less messages that confidentially wanted. Then it should be modified so that can be understood only by the sender and the intended recipients. All of this system can be realization by using cryptography. LUC algorithms are introduced by Smith and Lennon in 1993. LUC algorithm is an algorithm that based on the use of Lucas sequence (specific arithmetic operations derived from Lucas row) that rarely used to enhance the security of the messages. In this research, LUC algorithm is combined with visual cryptography to process the encryption and the description of a colored image. Four different images were used in the trial here. The performance of the system is assessed using Structural similarity (SSIM) which has an assessment similar to human eye. If the image quality is the same as the original image, then the SSIM value is one. Whereas if the quality of decryption image is very different from the original image then the value of SSIM is zero. © Published under licence by IOP Publishing Ltd.

关键词： Information systems

来源：评论

学校读者我要写书评

暂无评论

Ultrahigh-pressure form of SiO2 glass with dense pyrite-type crystalline homology

引用

Physical Review B 2019年第4期99卷 045153-045153页

作者： M. Murakami S. Kohara N. Kitamura J. Akola H. Inoue A. Hirata Y. Hiraoka Y. Onodera I. Obayashi J. Kalikka N. Hirao T. Musso A. S. Foster Y. Idemoto O. Sakata Y. Ohishi Department of Earth Sciences ETH Zürich Zürich 8092 Switzerland Department of Earth and Planetary Materials Science Tohoku University Sendai 980-8578 Japan Research Center for Advanced Measurement and Characterization National Institute for Materials Science (NIMS) Hyogo 679-5148 Japan Center for Materials research by Information Integration (CMI2) Research and Services Division of Materials Data and Integrated System (MaDIS) NIMS Ibaraki 305-0047 Japan Research and Utilization Division Japan Synchrotron Radiation Research Institute Hyogo 679-5198 Japan School of Materials Science Japan Advanced Institute of Science and Technology Ishikawa 923-1211 Japan PRESTO Japan Science and Technology Agency Tokyo 102-0076 Japan Department of Pure and Applied Chemistry Faculty of Science and Technology Tokyo University of Science Chiba 278-8510 Japan Department of Physics Tampere University of Technology FI-33101 Tampere Finland Department of Physics Norwegian University of Science and Technology NO-7481 Trondheim Norway Institute of Industrial Science The University of Tokyo Tokyo 153-8505 Japan Graduate School of Fundamental Science and Engineering Waseda University Tokyo 169-8555 Japan Kagami Memorial Research Institute for Materials Science and Technology Waseda University Tokyo 169-0051 Japan Mathematics for Advanced Materials-OIL AIST Sendai 980-8577 Japan WPI Advanced Institute for Materials Research Tohoku University Sendai 980-8577 Japan Kyoto University Institute for Advanced Study Kyoto University Kyoto 606-8501 Japan Center for Advanced Intelligence Project RIKEN Tokyo 103-0027 Japan Institute for Integrated Radiation and Nuclear Science Kyoto University Osaka 590-0494 Japan Department of Applied Physics Aalto University FI-00076 Aalto Finland Division of Electrical Engineering and Computer Science Graduate School of Natural Science and Technology Kanazawa University Kanazawa 920-1192 Japan

High-pressure synthesis of denser glass has been a longstanding interest in condensed-matter physics and materials science because of its potentially broad industrial application. Nevertheless, understanding its nature under extreme pressures has yet to be clarified due to experimental and theoretical challenges. Here we reveal the formation of OSi4 tetraclusters associated with that of SiO7 polyhedra in SiO2 glass under ultrahigh pressures to 200 gigapascal confirmed both experimentally and theoretically. Persistent homology analyses with molecular dynamics simulations found increased packing fraction of atoms whose topological diagram at ultrahigh pressures is similar to a pyrite-type crystalline phase, although the formation of tetraclusters is prohibited in the crystalline phase. This critical difference would be caused by the potential structural tolerance in the glass for distortion of oxygen clusters. Furthermore, an expanded electronic band gap demonstrates that chemical bonds survive at ultrahigh pressure. This opens up the synthesis of topologically disordered dense oxide glasses.

关键词： Chemical bonding Density of states Electronic structure Phase transitions Pressure effects Specific phase transitions Structural properties Topological phase transition Topological phases of matter Density functional theory Molecular dynamics Wannier function methods X-ray diffraction X-ray powder diffraction

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：