33 research outputs found
Portfolio Analysis of Financial Market Risks by Random Set Tools
A new approach to portfolio analysis of financial market risks by random set tools is considered. Despite many attempts, the consistent and global modeling of financial markets remains an open problem. In particular it remains a challenge to find a simple and tractable economic and probabilistic approach to market modeling. This paper attempts to highlight fundamental properties that a market model should possess. The paper suggests a random set approach as a probabilistic base of this model. Using this approach it is possible to establish a corresponding interactive market dynamics that involves a minimal number of sets. These sets include the set of capital surpluses, the set of capital within assets and the set of capital deficits. Several interesting properties related to random volatility of assets quality, probabilities of quality categories and defaults and matrices of transition probabilities of switching among categories can be derived. In addition the random set approach allows to derive the so called transition set-matrices, random set invariants of capital redistribution processes. Empirical evidence will be given that confirm these random set findings. The approach is also illustrated by collapses in U.S. financial markets in 90's and can be used to explain Russian default'98
Portfolio Analysis of Financial Market Risks by Random Set Tools
A new approach to portfolio analysis of financial market risks by random set tools is considered. Despite many attempts, the consistent and global modeling of financial markets remains an open problem. In particular it remains a challenge to find a simple and tractable economic and probabilistic approach to market modeling. This paper attempts to highlight fundamental properties that a market model should possess. The paper suggests a random set approach as a probabilistic base of this model. Using this approach it is possible to establish a corresponding interactive market dynamics that involves a minimal number of sets. These sets include the set of capital surpluses, the set of capital within assets and the set of capital deficits. Several interesting properties related to random volatility of assets quality, probabilities of quality categories and defaults and matrices of transition probabilities of switching among categories can be derived. In addition the random set approach allows to derive the so called transition set-matrices, random set invariants of capital redistribution processes. Empirical evidence will be given that confirm these random set findings. The approach is also illustrated by collapses in U.S. financial markets in 90's and can be used to explain Russian default'98
Network Technologies for Solving Tasks of Providing Geodynamic Safety of Urban Territory by the Example of the City of Krasnoyarsk
ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΡΠ²ΡΡΠ΅Π½ΠΎ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΡΡ
ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΠΉ, ΡΠΎΠ·Π΄Π°Π²Π°Π΅ΠΌΡΡ
Π½Π° Π΅Π΄ΠΈΠ½ΠΎΠΉ
Π°Π»Π³ΠΎΡΠΈΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ»Π°ΡΡΠΎΡΠΌΠ΅ Π΄Π»Ρ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ Π±ΠΎΠ»ΡΡΠΈΡ
ΠΌΠ°ΡΡΠΈΠ²ΠΎΠ² Π΄Π°Π½Π½ΡΡ
Π³Π΅ΠΎΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π°, ΠΎΡΠ΅Π½ΠΊΠΈ
Π³Π΅ΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΠΈ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΎ Π½Π° ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΠ΅ Π³Π΅ΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ
ΡΡΠ±Π°Π½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΈ Β«ΡΠΌΠ½ΡΠΉ Π³ΠΎΡΠΎΠ΄Β» Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ Π³. ΠΡΠ°ΡΠ½ΠΎΡΡΡΠΊΠ°.
ΠΠ½Π½ΠΎΠ²Π°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΡ, ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΡΠ΅ Π² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ, ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌ
ΡΠ΅ΡΠ΅Π²ΡΠΌ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΡ
ΠΏΡΠΈΠΌΠ΅Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΊ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»ΡΠ½Π½ΡΠΌ Π·Π΅ΠΌΠ΅Π»ΡΠ½ΡΠΌ ΠΊΠ°Π΄Π°ΡΡΡΠΎΠ²ΡΠΌ ΡΠ΅Π΅ΡΡΡΠ°ΠΌ,
Π° ΡΠ°ΠΊΠΆΠ΅ ΡΡΡΠ°Ρ
ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
ΡΠΈΡΠΊΠΎΠ² ΠΈ Π΄ΡΡΠ³ΠΈΠΌ Π·Π°Π΄Π°ΡΠ°ΠΌ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ.
ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΎ Π² ΡΠ°ΠΌΠΊΠ°Ρ
Π³ΡΠ°Π½ΡΠ° Β«ΠΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Ρ ΠΊ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΈ
ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΏΡΠΎΠ΅ΠΊΡΠ° Β«Π£ΠΌΠ½ΡΠΉ Π³ΠΎΡΠΎΠ΄ (Smart City)Β» Π² ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΠ΅ ΡΡΠ΅Π½Π΄ΠΎΠ² ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ
ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈΒ» ΠΏΡΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ΅ ΠΡΠ°ΡΠ½ΠΎΡΡΡΠΊΠΎΠ³ΠΎ ΠΊΡΠ°Π΅Π²ΠΎΠ³ΠΎ ΡΠΎΠ½Π΄Π° ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ Π½Π°ΡΡΠ½ΠΎΠΉ ΠΈ
Π½Π°ΡΡΠ½ΠΎ-ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈThe research is focused on the development of computer applications, designed on the single algorithmic
platform to processing large amounts of geomonitoring data, assessing geodynamic hazards and
aimed at providing geodynamic safety of urban territory in the frame of the concept βSmart Cityβ by
the example of the city of Krasnoyarsk. The innovative solutions suggested by the research conform
to modern network technologies relating to distributed land cadastral registries as well as to the
insurance of correspondent risks and other tasks of digital economy. The research has been conducted
within the scope of the grant βMethodical approaches for development of a concept of designing
project βSmart City in the context of digital economy development trendsβ with the financial support
from the Krasnoyarsk Regional Fund of Support of Scientific and Technical Activitie
Surface/Interface Effects by Alkali Postdeposition Treatments of (Ag,Cu)(In,Ga)Se2 Thin Film Solar Cells
Ag alloying and the introduction of alkali elements through a postdeposition treatment are two approaches to improve the performance of Cu(In,Ga)Se2 (CIGS) thin film solar cells. In particular, a postdeposition treatment of an alkali metal fluoride of the absorber has shown a beneficial effect on the solar cells performance due to an increase in the open circuit voltage (VOC) for both (Ag,Cu)(In,Ga)Se2 (ACIGS) and CIGS based solar cells. Several reasons have been suggested for the improved VOC in CIGS solar cells including absorber surface and interface effects. Less works investigated how the applied postdeposition treatment influences the ACIGS absorber surface and interface properties and the subsequent buffer layer growth. In this work we employed hard X-ray photoelectron spectroscopy to study the chemical and electronic properties at the real functional interface between a CdS buffer and ACIGS absorbers that have been exposed to different alkali metal fluoride treatments during preparation. All samples show an enhanced Ag content at the CdS/ACIGS interface as compared to ACIGS bulk-like composition, and it is also shown that this enhanced Ag content anticorrelates with Ga content. The results indicate that the absorber composition at the near-surface region changes depending on the applied alkali postdeposition treatment. The Cu and Ga decrease and the Ag increase are stronger for the RbF treatment as compared to the CsF treatment, which correlates with the observed device characteristics. This suggests that a selective alkali postdeposition treatment could change the ACIGS absorber surface composition, which can influence the solar cell behavior.Title in Web of Science: Surface/Interface Effects by Alkali Postdeposition Treatments of (Ag,Cu)(In,Ga)Se-2 Thin Film Solar Cells</p
Controllable p-doping of graphene on Ir(111) by chlorination with FeCl(3).
The in situ chlorination of graphene on Ir(111) has been achieved by depositing FeCl(3) followed by its thermal decomposition on the surface into FeCl(2) and Cl. This process is accompanied by an intercalation of Cl under graphene and formation of an epitaxial FeCl(2) film on top, which can be removed upon further annealing. A pronounced hole doping of graphene has been observed as a consequence of the annealing-assisted intercalation of Cl. This effect has been studied by a combination of core-level and angle-resolved photoelectron spectroscopies (CL PES and ARPES, respectively), near-edge x-ray absorption fine structure (NEXAFS) spectroscopy and low-energy electron diffraction (LEED). The ease of preparation, the remarkable reproducibility of the doping level and the reversibility of the doping upon annealing are the key factors making chlorination with FeCl(3) a promising route for tuning the electronic properties in graphene
Estimation of Emergencies Risks on the Hydroelectric Power Station in Krasnoyarsk Region
Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΡΠΈΡΠΎΠ΄Π½ΠΎ-ΡΠ΅Ρ
Π½ΠΎΠ³Π΅Π½Π½ΠΎΠΉ ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΠΈ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
ΡΠΈΡΠΊΠΎΠ², ΡΠ²ΡΠ·Π°Π½Π½ΡΡ
Ρ ΠΊΡΡΠΏΠ½ΡΠΌΠΈ Π³ΠΈΠ΄ΡΠΎΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠΎΠΎΡΡΠΆΠ΅Π½ΠΈΡΠΌΠΈ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ Π°Π»Π³ΠΎΡΠΈΡΠΌ ΡΠ°ΡΡΠ΅ΡΠ°
ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠΉ Π°Π²Π°ΡΠΈΠΉ Π½Π° Π³ΠΈΠ΄ΡΠΎΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΎΠΎΡΡΠΆΠ΅Π½ΠΈΡΡ
ΠΠΠ‘, ΠΊΠΎΡΠΎΡΡΠΉ ΡΠΎΡΡΠΎΠΈΡ ΠΈΠ· ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ
ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
ΡΠΈΡΡΠΎΠ²ΡΡ
ΠΊΠ°ΡΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΡΠ΅Π»ΡΠ΅ΡΠ° ΡΠ°ΡΡΠ΅ΡΠ½ΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ, ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠΈ
ΠΈΡΡ
ΠΎΠ΄Π½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΠΎΠ± ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΠΎΠΌ Π½Π΅Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΠΎΠΌ ΠΏΡΠΎΡΠ΅ΡΡΠ΅, ΡΠ°ΡΡΠ΅ΡΠΎΠ² ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π²ΠΎΠ»Π½Ρ
ΠΏΡΠΎΡΡΠ²Π°, ΠΎΡΠ΅Π½ΠΊΠΈ Π·Π°ΡΠΎΠΏΠ»Π΅Π½Π½ΡΡ
ΠΏΠ»ΠΎΡΠ°Π΄Π΅ΠΉ ΠΈ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ², Π° ΡΠ°ΠΊΠΆΠ΅ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΠ΅ΡΠ±Π° ΠΏΡΠΈ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ
Π²ΡΠ΄Π΅Π»Π΅Π½Π½ΡΡ
ΡΡΠ΅Π½Π°ΡΠΈΠ΅Π² Π°Π²Π°ΡΠΈΠΉ. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΠΏΡΠΈΠΌΠ΅ΡΡ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠΉ Π³ΠΈΠΏΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π°Π²Π°ΡΠΈΠΉΠ½ΡΡ
ΡΠΈΡΡΠ°ΡΠΈΠΉ Π΄Π»Ρ ΠΡΠ°ΡΠ½ΠΎΡΡΡΠΊΠΎΠΉ ΠΈ ΠΠΎΠ³ΡΡΠ°Π½ΡΠΊΠΎΠΉ ΠΠΠ‘.Problems of the analysis of nature and technogenic danger and estimation of the territorial risks
connected with large hydraulic engineering constructions are considered. The calculation algorithm
for failure after-effects on hydraulic engineering constructions of the hydroelectric power station
is proposed. It consists of the following steps: development of digital cards based on models of the
estimated area relief, preparation of initial data about adverse process considered, calculations of
break wave parameters, estimation of the flooded areas and objects, and estimation of damage if the
scripts of failures marked out are realized. Examples of hypothetical failures for Krasnoyarsk and
Boguchan HPS are described
Estimation of Emergencies Risks on the Hydroelectric Power Station in Krasnoyarsk Region
Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΡΠΈΡΠΎΠ΄Π½ΠΎ-ΡΠ΅Ρ
Π½ΠΎΠ³Π΅Π½Π½ΠΎΠΉ ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΠΈ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
ΡΠΈΡΠΊΠΎΠ², ΡΠ²ΡΠ·Π°Π½Π½ΡΡ
Ρ ΠΊΡΡΠΏΠ½ΡΠΌΠΈ Π³ΠΈΠ΄ΡΠΎΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠΎΠΎΡΡΠΆΠ΅Π½ΠΈΡΠΌΠΈ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ Π°Π»Π³ΠΎΡΠΈΡΠΌ ΡΠ°ΡΡΠ΅ΡΠ°
ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠΉ Π°Π²Π°ΡΠΈΠΉ Π½Π° Π³ΠΈΠ΄ΡΠΎΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΎΠΎΡΡΠΆΠ΅Π½ΠΈΡΡ
ΠΠΠ‘, ΠΊΠΎΡΠΎΡΡΠΉ ΡΠΎΡΡΠΎΠΈΡ ΠΈΠ· ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ
ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
ΡΠΈΡΡΠΎΠ²ΡΡ
ΠΊΠ°ΡΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΡΠ΅Π»ΡΠ΅ΡΠ° ΡΠ°ΡΡΠ΅ΡΠ½ΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ, ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠΈ
ΠΈΡΡ
ΠΎΠ΄Π½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΠΎΠ± ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΠΎΠΌ Π½Π΅Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΠΎΠΌ ΠΏΡΠΎΡΠ΅ΡΡΠ΅, ΡΠ°ΡΡΠ΅ΡΠΎΠ² ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π²ΠΎΠ»Π½Ρ
ΠΏΡΠΎΡΡΠ²Π°, ΠΎΡΠ΅Π½ΠΊΠΈ Π·Π°ΡΠΎΠΏΠ»Π΅Π½Π½ΡΡ
ΠΏΠ»ΠΎΡΠ°Π΄Π΅ΠΉ ΠΈ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ², Π° ΡΠ°ΠΊΠΆΠ΅ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΠ΅ΡΠ±Π° ΠΏΡΠΈ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ
Π²ΡΠ΄Π΅Π»Π΅Π½Π½ΡΡ
ΡΡΠ΅Π½Π°ΡΠΈΠ΅Π² Π°Π²Π°ΡΠΈΠΉ. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΠΏΡΠΈΠΌΠ΅ΡΡ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠΉ Π³ΠΈΠΏΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π°Π²Π°ΡΠΈΠΉΠ½ΡΡ
ΡΠΈΡΡΠ°ΡΠΈΠΉ Π΄Π»Ρ ΠΡΠ°ΡΠ½ΠΎΡΡΡΠΊΠΎΠΉ ΠΈ ΠΠΎΠ³ΡΡΠ°Π½ΡΠΊΠΎΠΉ ΠΠΠ‘.Problems of the analysis of nature and technogenic danger and estimation of the territorial risks
connected with large hydraulic engineering constructions are considered. The calculation algorithm
for failure after-effects on hydraulic engineering constructions of the hydroelectric power station
is proposed. It consists of the following steps: development of digital cards based on models of the
estimated area relief, preparation of initial data about adverse process considered, calculations of
break wave parameters, estimation of the flooded areas and objects, and estimation of damage if the
scripts of failures marked out are realized. Examples of hypothetical failures for Krasnoyarsk and
Boguchan HPS are described
Effect of electron injection in copper-contacted graphene nanoribbons
For practical electronic device applications of graphene nanoribbons (GNRs), it is essential to have abrupt and well-defined contacts between the ribbon and the adjacent metal lead. By analogy with graphene, these contacts can induce electron or hole doping, which may significantly affect the I/V characteristics of the device. Cu is among the most popular metals of choice for contact materials. In this study, we investigate the effect of in situ intercalation of Cu on the electronic structure of atomically precise, spatially aligned armchair GNRs of width N = 7 (7-AGNRs) fabricated via a bottom-up method on the Au(788) surface. Scanning tunneling microscopy data reveal that the complete intercalation of about one monolayer of Cu under 7-AGNRs can be facilitated by gentle annealing of the sample at 80 Β°C. Angle-resolved photoemission spectroscopy (ARPES) data clearly reflect the one-dimensional character of the 7-AGNR band dispersion before and after intercalation. Moreover, ARPES and core-level photoemission results show that intercalation of Cu leads to significant electron injection into the nanoribbons, which causes a pronounced downshift of the valence and conduction bands of the GNR with respect to the Fermi energy (ΞE ~ 0.5 eV). As demonstrated by ARPES and X-ray absorption spectroscopy measurements, the effect of Cu intercalation is restricted to n-doping only, without considerable modification of the band structure of the GNRs. Post-annealing of the 7-AGNRs/Cu/Au(788) system at 200 Β°C activates the diffusion of Cu into Au and the formation of a Cu-rich surface Au layer. Alloying of intercalated Cu leads to the recovery of the initial position of GNR-related bands with respect to the Fermi energy (EF), thus, proving the tunability of the induced n-doping. [Figure not available: see fulltext.
Synthesis of armchair graphene nanoribbons from the 10,10 '-dibromo-9,9 '-bianthracene molecules on Ag(111) : the role of organometallic intermediates
We investigate the bottom-up growth of N = 7 armchair graphene nanoribbons (7-AGNRs) from the 10,10'-dibromo-9,9'-bianthracene (DBBA) molecules on Ag(111) with the focus on the role of the organometallic (OM) intermediates. It is demonstrated that DBBA molecules on Ag(111) are partially debrominated at room temperature and lose all bromine atoms at elevated temperatures. Similar to DBBA on Cu(111), debrominated molecules form OM chains on Ag(111). Nevertheless, in contrast with the Cu(111) substrate, formation of polyanthracene chains from OM intermediates via an Ullmann-type reaction is feasible on Ag(111). Cleavage of C-Ag bonds occurs before the thermal threshold for the surface-catalyzed activation of C-H bonds on Ag(111) is reached, while on Cu(111) activation of C-H bonds occurs in parallel with the cleavage of the stronger C-Cu bonds. Consequently, while OM intermediates obstruct the Ullmann reaction between DBBA molecules on the Cu(111) substrate, they are required for the formation of polyanthracene chains on Ag(111). If the Ullmann-type reaction on Ag(111) is inhibited, heating of the OM chains produces nanographenes instead. Heating of the polyanthracene chains produces 7-AGNRs, while heating of nanographenes causes the formation of the disordered structures with the possible admixture of short GNRs
Network Technologies for Solving Tasks of Providing Geodynamic Safety of Urban Territory by the Example of the City of Krasnoyarsk
ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΡΠ²ΡΡΠ΅Π½ΠΎ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΡΡ
ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΠΉ, ΡΠΎΠ·Π΄Π°Π²Π°Π΅ΠΌΡΡ
Π½Π° Π΅Π΄ΠΈΠ½ΠΎΠΉ
Π°Π»Π³ΠΎΡΠΈΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ»Π°ΡΡΠΎΡΠΌΠ΅ Π΄Π»Ρ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ Π±ΠΎΠ»ΡΡΠΈΡ
ΠΌΠ°ΡΡΠΈΠ²ΠΎΠ² Π΄Π°Π½Π½ΡΡ
Π³Π΅ΠΎΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π°, ΠΎΡΠ΅Π½ΠΊΠΈ
Π³Π΅ΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΠΈ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΎ Π½Π° ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΠ΅ Π³Π΅ΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ
ΡΡΠ±Π°Π½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΈ Β«ΡΠΌΠ½ΡΠΉ Π³ΠΎΡΠΎΠ΄Β» Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ Π³. ΠΡΠ°ΡΠ½ΠΎΡΡΡΠΊΠ°.
ΠΠ½Π½ΠΎΠ²Π°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΡ, ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΡΠ΅ Π² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ, ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌ
ΡΠ΅ΡΠ΅Π²ΡΠΌ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΡ
ΠΏΡΠΈΠΌΠ΅Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΊ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»ΡΠ½Π½ΡΠΌ Π·Π΅ΠΌΠ΅Π»ΡΠ½ΡΠΌ ΠΊΠ°Π΄Π°ΡΡΡΠΎΠ²ΡΠΌ ΡΠ΅Π΅ΡΡΡΠ°ΠΌ,
Π° ΡΠ°ΠΊΠΆΠ΅ ΡΡΡΠ°Ρ
ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
ΡΠΈΡΠΊΠΎΠ² ΠΈ Π΄ΡΡΠ³ΠΈΠΌ Π·Π°Π΄Π°ΡΠ°ΠΌ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ.
ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΎ Π² ΡΠ°ΠΌΠΊΠ°Ρ
Π³ΡΠ°Π½ΡΠ° Β«ΠΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Ρ ΠΊ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΈ
ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΏΡΠΎΠ΅ΠΊΡΠ° Β«Π£ΠΌΠ½ΡΠΉ Π³ΠΎΡΠΎΠ΄ (Smart City)Β» Π² ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΠ΅ ΡΡΠ΅Π½Π΄ΠΎΠ² ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ
ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈΒ» ΠΏΡΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ΅ ΠΡΠ°ΡΠ½ΠΎΡΡΡΠΊΠΎΠ³ΠΎ ΠΊΡΠ°Π΅Π²ΠΎΠ³ΠΎ ΡΠΎΠ½Π΄Π° ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ Π½Π°ΡΡΠ½ΠΎΠΉ ΠΈ
Π½Π°ΡΡΠ½ΠΎ-ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈThe research is focused on the development of computer applications, designed on the single algorithmic
platform to processing large amounts of geomonitoring data, assessing geodynamic hazards and
aimed at providing geodynamic safety of urban territory in the frame of the concept βSmart Cityβ by
the example of the city of Krasnoyarsk. The innovative solutions suggested by the research conform
to modern network technologies relating to distributed land cadastral registries as well as to the
insurance of correspondent risks and other tasks of digital economy. The research has been conducted
within the scope of the grant βMethodical approaches for development of a concept of designing
project βSmart City in the context of digital economy development trendsβ with the financial support
from the Krasnoyarsk Regional Fund of Support of Scientific and Technical Activitie