Institution
Saint Petersburg State Polytechnic University
Education•Saint Petersburg, Russia•
About: Saint Petersburg State Polytechnic University is a education organization based out in Saint Petersburg, Russia. It is known for research contribution in the topics: Laser & Computer science. The organization has 10185 authors who have published 14103 publications receiving 149533 citations.
Topics: Laser, Computer science, Electron, Large Hadron Collider, Ion
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the results of the PHENIX detector at the Relativistic Heavy Ion Collider (RHIC) were examined with an emphasis on implications for the formation of a new state of dense matter.
2,572 citations
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TL;DR: It is shown that RNA velocity—the time derivative of the gene expression state—can be directly estimated by distinguishing between unspliced and spliced mRNAs in common single-cell RNA sequencing protocols, and expected to greatly aid the analysis of developmental lineages and cellular dynamics, particularly in humans.
Abstract: RNA abundance is a powerful indicator of the state of individual cells. Single-cell RNA sequencing can reveal RNA abundance with high quantitative accuracy, sensitivity and throughput1. However, this approach captures only a static snapshot at a point in time, posing a challenge for the analysis of time-resolved phenomena such as embryogenesis or tissue regeneration. Here we show that RNA velocity-the time derivative of the gene expression state-can be directly estimated by distinguishing between unspliced and spliced mRNAs in common single-cell RNA sequencing protocols. RNA velocity is a high-dimensional vector that predicts the future state of individual cells on a timescale of hours. We validate its accuracy in the neural crest lineage, demonstrate its use on multiple published datasets and technical platforms, reveal the branching lineage tree of the developing mouse hippocampus, and examine the kinetics of transcription in human embryonic brain. We expect RNA velocity to greatly aid the analysis of developmental lineages and cellular dynamics, particularly in humans.
2,285 citations
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A. Adare1, Serguei Afanasiev2, Christine Angela Aidala3, Christine Angela Aidala4 +601 more•Institutions (57)
1,161 citations
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TL;DR: In this paper, the authors measured the transverse momentum spectra for charged hadrons and neutral pions in the range 1 Gev/c < P-T < 5 GeV/c.
Abstract: Transverse momentum spectra for charged hadrons and for neutral pions in the range 1 Gev/c < P-T < 5 GeV/c have been measured by the PHENIX experiment at RHIC in Au + Au collisions at rootS(NN) = 130 GeV. At high p(T) the spectra from peripheral nuclear collisions are consistent with scaling the spectra from p + p collisions by the average number of binary nucleon-nucleon collisions. The spectra from central collisions are significantly suppressed when compared to the binary-scaled p + p expectation, and also when compared to similarly binary-scaled peripheral collisions, indicating a novel nuclear-medium effect in central nuclear collisions at RHIC energies.
803 citations
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University of California, Los Angeles1, Oak Ridge National Laboratory2, Japan Atomic Energy Agency3, ITER4, General Atomics5, European Atomic Energy Community6, Princeton Plasma Physics Laboratory7, Max Planck Society8, Massachusetts Institute of Technology9, Kyoto University10, Western Institute11, École Polytechnique Fédérale de Lausanne12, Kurchatov Institute13, Saint Petersburg State Polytechnic University14, Lawrence Livermore National Laboratory15, University of York16
TL;DR: The understanding and predictive capability of transport physics and plasma confinement is reviewed from the perspective of achieving reactor-scale burning plasmas in the ITER tokamak, for both core and edge plasma regions.
Abstract: The understanding and predictive capability of transport physics and plasma confinement is reviewed from the perspective of achieving reactor-scale burning plasmas in the ITER tokamak, for both core and edge plasma regions. Very considerable progress has been made in understanding, controlling and predicting tokamak transport across a wide variety of plasma conditions and regimes since the publication of the ITER Physics Basis (IPB) document (1999 Nucl. Fusion 39 2137-2664). Major areas of progress considered here follow. (1) Substantial improvement in the physics content, capability and reliability of transport simulation and modelling codes, leading to much increased theory/experiment interaction as these codes are increasingly used to interpret and predict experiment. (2) Remarkable progress has been made in developing and understanding regimes of improved core confinement. Internal transport barriers and other forms of reduced core transport are now routinely obtained in all the leading tokamak devices worldwide. (3) The importance of controlling the H-mode edge pedestal is now generally recognized. Substantial progress has been made in extending high confinement H-mode operation to the Greenwald density, the demonstration of Type I ELM mitigation and control techniques and systematic explanation of Type I ELM stability. Theory-based predictive capability has also shown progress by integrating the plasma and neutral transport with MHD stability. (4) Transport projections to ITER are now made using three complementary approaches: empirical or global scaling, theory-based transport modelling and dimensionless parameter scaling (previously, empirical scaling was the dominant approach). For the ITER base case or the reference scenario of conventional ELMy H-mode operation, all three techniques predict that ITER will have sufficient confinement to meet its design target of Q = 10 operation, within similar uncertainties.
798 citations
Authors
Showing all 10414 results
Name | H-index | Papers | Citations |
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Jovan Milosevic | 152 | 1433 | 106802 |
Gabor Istvan Veres | 135 | 1349 | 96104 |
Gyorgy Vesztergombi | 133 | 1444 | 94821 |
Lee Sawyer | 130 | 1340 | 88419 |
Victor Kim | 129 | 1287 | 87209 |
Robert McPherson | 128 | 1105 | 80342 |
Francois Corriveau | 128 | 1022 | 75729 |
Sebastian Grinstein | 128 | 1222 | 79158 |
Zeno Dixon Greenwood | 126 | 1002 | 77347 |
Viktor Matveev | 123 | 1212 | 73939 |
S. H. Robertson | 116 | 1311 | 58582 |
R. J. Sobie | 113 | 1264 | 69914 |
D. H. Kim | 106 | 698 | 52627 |
Y. Berdnikov | 106 | 435 | 36763 |
Yuri Musienko | 104 | 626 | 53197 |