General Method of Research of Electrophysical Properties of Nanostructured Composites

2019 ◽  
Vol 822 ◽  
pp. 264-269
Author(s):  
Gennady Konstantinovich Baryshev ◽  
Aleksandr Vasilievich Berestov ◽  
Anton Nikolaevich Tokarev ◽  
Anastasia S. Kondrateva ◽  
Polina Olegovna Chernykh

The paper presents an information model and a general methodology for studying the electrophysical properties of materials and products from nanostructured composites. The information model of the original methodology for the standard process of experimental measurement and study of the electrophysical properties of composites comprehensively takes into account the characteristics associated with their industrial production (quality assurance systems, safety, certification, etc.) in order to develop experimental measurement methods and new standards, including standards of enterprises, methodological guidelines, work programs for the development of high-tech production advanced materials and products.

2010 ◽  
Vol 636-637 ◽  
pp. 895-900 ◽  
Author(s):  
P. Jozwik ◽  
R. Grabowski ◽  
Z. Bojar

Intermetallic Ni3Al–based alloys (doped with zirconium and boron) represent a group of advanced materials with potential outstanding physical and chemical properties (such as high catalytic activity and structural stability in corrosive environments) that make them a considerable candidate for many high-tech applications. In this paper, the catalytic activity of fully dense Ni3Al-based thin foils (as thin as 50 m) possessing structures with micrometer or nanometer grain sizes is discussed. The examined material, without any additional catalytic coating, was successfully produced from as-cast coarse-grained sheets by heavy cold rolling and recrystallisation with an appropriately chosen set of parameters. The examination focuses on methanol and methanol/water mixture decomposition into H2 and CO at temperatures up to 530OC in a quartz reactor. Except for these products, a small amount (below 1%) of CO2 and dimethyl ether was observed. The catalyzed reaction began effectively at about 400OC, with a methanol conversion of about 90% or higher.


MRS Advances ◽  
2020 ◽  
Vol 5 (29-30) ◽  
pp. 1497-1511
Author(s):  
Sergey V. Barabash

ABSTRACTWe describe how the development of advanced materials via high-throughput experimentation at Intermolecular® is accelerated using guidance from modelling, machine learning (ML) and other data-driven approaches. Focusing on rapid development of materials for the semiconductor industry at a reasonable cost, we review the strengths and the limitations of data-driven methods. ML applied to the experimental data accelerates the development of record-breaking materials, but needs a supply of physically meaningful descriptors to succeed in a practical setting. Theoretical materials design greatly benefits from the external modelling ecosystems that have arisen over the last decade, enabling a rapid theoretical screening of materials, including additional material layers introduced to improve the performance of the material stack as a whole, “dopants” to stabilize a given phase of a polymorphic material, etc. We discuss the relative importance of different approaches, and note that the success rates for seemingly similar problems can be drastically different. We then discuss the methods that assist experimentation by providing better phase identification. Finally, we compare the strengths of different approaches, using as an example the problem of identifying regions of thermodynamic stability in multicomponent systems.


2010 ◽  
Vol 165 ◽  
pp. 210-215
Author(s):  
Algirdas Vaclovas Valiulis ◽  
Jelena Škamat

Lithuania, as a small country, cannot afford creating new knowledge in all the fields of science. It is reasonable to firstly focus on those fields in which Lithuania already has scientific and industrial potential and that clearly declare the biggest demand for innovations as well as capability to invest into innovations. Research institutions here usually focus on fundamental research but both the revenues and the human resources of research institutions are rather poor. Dispersion of the Lithuanian potential of science and studies and the absence of critical mass represent the main reasons why R&D lacks effectiveness. The paper presents the main research fields and high-tech research institutions in Lithuania.


2021 ◽  
Vol 23 (101) ◽  
pp. 82-85
Author(s):  
M. O. Karavansky ◽  
V. O. Rud ◽  
L. O. Tarasenko

Dairy cattle breeding in Ukraine is set the task that require a radical restructuring of the industry, bringing it out of a difficult crisis situation in order to increase the production of valuable food for the population and raw materials for industry The dairy industry is a very important part of all agricultural production. The socio-economic development of the state as a whole depends on the current situation in milk production. Quality milk must meet the requirements not only for physicochemical parameters (acidity, density, mass fraction of dry matter, protein, fat), but above all be safe, ie meet the current requirements for levels of contamination with microorganisms, the number of somatic cells, maximum permissible levels toxic elements, mycotoxins, residual amounts of antimicrobials, drugs and other substances. The quality and safety of cow's milk as a raw material is a global and unresolved issue for our country. The quality of milk cannot be improved in the process of its processing, so the milk quality management system at the enterprise should be focused on high-tech processes of its production, primary processing with the use of preventive measures. At present, the issue of high-quality milk production in Ukraine is urgent. Despite the trend, the population's demand for quality dairy products is increasing every year, so the issue of increasing the productivity of the dairy herd and milk quality through the use of modern high-tech conditions of keeping and milking. Therefore, the identification of factors influencing the process of milk production in farms is aimed at solving quality and safety problems and provides information on how to better and more effectively control hazards in the overall process.


2021 ◽  
Vol 21 (4) ◽  
pp. 1-17
Author(s):  
Yan-Chun Chen ◽  
Ren-Hung Hwang ◽  
Mu-Yen Chen ◽  
Chih-Chin Wen ◽  
Chih-Ping Hsu

The popularity of 5G networks has made smart manufacturing not limited to high-tech industries such as semiconductors due to its high speed, ultra-high reliability, and low latency. With the advance of system on chip (SoC) design and manufacturing, 5G is also suitable for data transmission in harsh manufacturing environments such as high temperatures, dust, and extreme vibration. The defect of the screw head is caused by the wear and deformation of the die forming the head after mass production. Therefore, the screw quality inspection system based on the tactile network in this article monitors the production quality of the screw; the system will send a warning signal through the router to remind the technician to solve the production problem when the machine produces a defective product. Sensors are embedded into the traditional screw heading machine, and sensing data are transmitted through a gateway to the voluntary computing node for screw slot quality inspection. The anomaly detection data set collected by the screw heading machine has a ratio of anomaly to normal data of 0.006; thus, we propose a time-series deep AutoEncoder architecture for anomaly detection of screw slots. Our experimental results show that the proposed solution outperforms existing works in terms of efficiency and that the specificity and accuracy can reach 97% through the framework proposed in this article.


2015 ◽  
Vol 46 ◽  
pp. 45-58 ◽  
Author(s):  
Max Frenzel ◽  
Raimon Tolosana-Delgado ◽  
Jens Gutzmer

2003 ◽  
Vol 29 (2-3) ◽  
pp. 269-299
Author(s):  
Janna C. Merrick

Main Street in Sarasota, Florida. A high-tech medical arts building rises from the east end, the county's historic three-story courthouse is two blocks to the west and sandwiched in between is the First Church of Christ, Scientist. A verse inscribed on the wall behind the pulpit of the church reads: “Divine Love Always Has Met and Always Will Meet Every Human Need.” This is the church where William and Christine Hermanson worshipped. It is just a few steps away from the courthouse where they were convicted of child abuse and third-degree murder for failing to provide conventional medical care for their seven-year-old daughter.This Article is about the intersection of “divine love” and “the best interests of the child.” It is about a pluralistic society where the dominant culture reveres medical science, but where a religious minority shuns and perhaps fears that same medical science. It is also about the struggle among different religious interests to define the legal rights of the citizenry.


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