Abstract

In the modern world, knowledge and advanced technologies determine the effectiveness of the economy, and they can radically improve the quality of life of people, modernize infrastructure and public administration, and ensure law and order, as well as security. The creation of a research infrastructure based on a high-performance hybrid cluster, allows detailed calculations of complex phenomena and processes without full-scale experiments. It has become possible to apply modern methods of multiscale computer modeling most efficiently by developing prototypes of the new materials with the desired properties for their further synthesis. Such approaches can significantly reduce the cost and speed up the development of modern technologies for producing new semiconductor materials for nanoelectronics, composite materials for the aerospace industry, and others. Thus, the use of multiscale modeling methods in combination with the use of high-performance software tools have made it possible to create a computer model of a nanoscale heterostructure, to develop the means for predictive computer modeling of the physical structure of nanoelectronic devices and the neuromorphic architecture of multilevel memory devices, as well as studying the processes of defect formation in composite materials.

中文翻译：

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确定在实施俄罗斯科学技术发展优先领域中建立新的合成材料研究基础的相关性的因素

摘要

在现代世界中，知识和先进技术决定了经济的有效性，它们可以从根本上改善人民的生活质量，使基础设施和公共管理现代化，并确保法律和秩序以及安全。基于高性能混合集群的研究基础架构的创建，无需复杂的实验即可进行复杂现象和过程的详细计算。通过开发具有所需特性以用于进一步合成的新材料的原型，可以最有效地应用现代的多尺度计算机建模方法。这种方法可以大大降低成本，并加快现代技术的发展，以生产用于纳米电子的新半导体材料，用于航空航天业的复合材料，和别的。因此，结合使用多尺度建模方法和使用高性能软件工具，可以创建纳米尺度异质结构的计算机模型，从而开发出可预测性地对纳米电子器件的物理结构进行计算机建模的方法。多级存储设备的神经形态结构，以及研究复合材料中缺陷形成的过程。