EFFECT OF Al₂O₃-RO RATIO ON THE STRUCTURE AND PROPERTIES OF ALKALINE EARTH ALUMINOSILICATE GLASS BASED ON THE MOLECULAR DYNAMICS SIMULATION

The molecular dynamics (MD) simulation method was used to study the influence of the Al₂O₃-RO (R=Ca, Mg) ratio on the structure and properties of CaO-MgO-Al₂O₃-SiO₂-Na₂O glass at high temperatures. The micro-structure characteristics, degree of network polymerisation (DNP), and high-temperature viscosity of the glass melts were analysed. The results showed that the coordination number of Si4+ and Al3+ remained about 4 in the process of replacing Al₂O₃ with RO. The silicon-oxygen and aluminium-oxygen tetrahedron content showed a decreasing trend with a decrease in the Al₂O₃ content, the bridging oxygen content decreased, and the degree of the network polymerisation of the glass decreased from 3.33 to 2.79. The decrease in the Al₂O₃ content also caused a rapid decrease in the glass fibre-forming temperature from 1637.66K to 1552.87K. According to the molecular dynamics calculation, the linear relationship between the DNP and fibre-forming temperature was obtained

EFFECT OF THE CaO-MgO-Al₂O₃-SiO₂ GLASS COMPOSITION ON THE MICROSTRUCTURE AND RHEOLOGICAL PROPERTIES FROM A MOLECULAR DYNAMICS SIMULATION

By adjusting the ratio of SiO₂ /RO (R=Ca, Mg), this article studied the atomic structure of CaO-MgO-Al₂O₃-SiO₂ glassy melts by a molecular dynamics simulation. The Pair distribution function (PDF), Coordination number (CN), bridging oxygen (BO), non-bridging oxygen (NBO), and Qn were utilised to characterise the glass structure. The results indicated that the content of the bridging oxygen was decreased with the RO replacing the SiO2. The total content of Q⁴ in the tetrahedron changed significantly from 34.11% to 18.06%. Meanwhile, the NBO/T parameter increased from 1.298 to 1.555. In the corresponding viscosity test, the melting temperature, fitted by the MYEGA equation, also decreased with the decrease in the SiO₂ content, and the fragility value increased from 39.12 to 53.20. Finally, the fragility and NBO/T were linked to describing the relationship between the mid-range structure and the rheological property. Moreover, the analyses showed that they had a linear relationship

The Seventh Visual Object Tracking VOT2019 Challenge Results

The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis as well as the standard VOT methodology for long-term tracking analysis. The VOT2019 challenge was composed of five challenges focusing on different tracking domains: (i) VOT-ST2019 challenge focused on short-term tracking in RGB, (ii) VOT-RT2019 challenge focused on "real-time" short-term tracking in RGB, (iii) VOT-LT2019 focused on long-term tracking namely coping with target disappearance and reappearance. Two new challenges have been introduced: (iv) VOT-RGBT2019 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2019 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2019, VOT-RT2019 and VOT-LT2019 datasets were refreshed while new datasets were introduced for VOT-RGBT2019 and VOT-RGBD2019. The VOT toolkit has been updated to support both standard short-term, long-term tracking and tracking with multi-channel imagery. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website(1).Funding Agencies|Slovenian research agencySlovenian Research Agency - Slovenia [J2-8175, P2-0214, P2-0094]; Czech Science Foundation Project GACR [P103/12/G084]; MURI project - MoD/DstlMURI; EPSRCEngineering &amp; Physical Sciences Research Council (EPSRC) [EP/N019415/1]; WASP; VR (ELLIIT, LAST, and NCNN); SSF (SymbiCloud); AIT Strategic Research Programme; Faculty of Computer Science, University of Ljubljana, Slovenia</p