Institution
Tomsk Polytechnic University
Education•Tomsk, Russia•
About: Tomsk Polytechnic University is a education organization based out in Tomsk, Russia. It is known for research contribution in the topics: Combustion & Ignition system. The organization has 9190 authors who have published 13224 publications receiving 103735 citations.
Topics: Combustion, Ignition system, Electron, Catalysis, Coating
Papers published on a yearly basis
Papers
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TL;DR: In this article, a two-dimensional numerical model was developed to simulate the evolution of grain structure observed during the laser additive manufacturing process, where a cellular automata method was used to describe grain growth and the Goldak heat source model was adopted to calculate the heat input during laser melting.
165 citations
TL;DR: In this paper, the effects of seven types of influential factors such as the Rayleigh and Lewis numbers, the buoyancy-ratio parameter, the Brownian motion parameter, thermophoresis parameter, thermal conductivity ratio, and solid walls thickness on the fluid flow and heat transfer have been determined.
161 citations
TL;DR: New limits on the γ-A^{'] mixing strength are set and the invisible A^{'} with a mass ≲100 MeV is excluded as an explanation of the muon g_{μ}-2 anomaly.
Abstract: We report on a direct search for sub-GeV dark photons (A^{'}), which might be produced in the reaction e^{-}Z→e^{-}ZA^{'} via kinetic mixing with photons by 100 GeV electrons incident on an active target in the NA64 experiment at the CERN SPS. The dark photons would decay invisibly into dark matter particles resulting in events with large missing energy. No evidence for such decays was found with 2.75×10^{9} electrons on target. We set new limits on the γ-A^{'} mixing strength and exclude the invisible A^{'} with a mass ≲100 MeV as an explanation of the muon g_{μ}-2 anomaly.
158 citations
TL;DR: In this paper, the authors analyse the application of Social Network Analysis (SNA) to the Italian tourism system and find that relationships among tourist enterprises affect the performance of the tourism system.
Abstract: The purpose of this paper is to analyse the application of Social Network Analysis (SNA) to the Italian tourism system. The research question is: do relationships among tourist enterprises affect t...
157 citations
TL;DR: In this article, the Tiwari and Das model with new more realistic empirical correlations for the physical properties of the nanofluids has been used for numerical analysis and the governing equations have been solved numerically on the basis of a second-order accurate finite difference method.
Abstract: Free convection in a square differentially heated porous cavity filled with a nanofluid is numerically investigated. The mathematical model has been formulated in dimensionless stream function and temperature taking into account the Darcy–Boussinesq approximation. The Tiwari and Das’ nanofluid model with new more realistic empirical correlations for the physical properties of the nanofluids has been used for numerical analysis. The governing equations have been solved numerically on the basis of a second-order accurate finite difference method. The developed algorithm has been validated by direct comparisons with previously published papers and the results have been found to be in good agreement. The results have been presented in terms of the streamlines, isotherms, local, and average Nusselt numbers at left vertical wall at a wide range of key parameters.
153 citations
Authors
Showing all 9329 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Zhu Han | 109 | 1407 | 48725 |
| Gleb B. Sukhorukov | 96 | 440 | 35549 |
| Giuseppe Resnati | 69 | 428 | 24373 |
| Michael T. Wilson | 67 | 587 | 17689 |
| Anton Babaev | 64 | 574 | 19193 |
| Filippo Berto | 63 | 831 | 14979 |
| Andrei L. Kholkin | 58 | 550 | 13675 |
| Wei Gao | 58 | 691 | 13371 |
| Mikhail A. Sheremet | 57 | 356 | 9248 |
| Fabio Casati | 57 | 368 | 13132 |
| Vladimir Tolmachev | 56 | 339 | 11221 |
| Polina Kuzhir | 56 | 321 | 15230 |
| Francis Verpoort | 56 | 443 | 12506 |
| Vladimir Ivanchenko | 50 | 353 | 33122 |
| Andrew J. Gow | 50 | 176 | 10877 |