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Institution

Moscow Institute of Physics and Technology

EducationDolgoprudnyy, Russia
About: Moscow Institute of Physics and Technology is a education organization based out in Dolgoprudnyy, Russia. It is known for research contribution in the topics: Laser & Large Hadron Collider. The organization has 8594 authors who have published 16968 publications receiving 246551 citations. The organization is also known as: MIPT & Moscow Institute of Physics and Technology (State University).


Papers
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Journal ArticleDOI
01 Jan 2009
TL;DR: In this article, the kinetics of ignition in stoichiometric C n H 2 n +2 :O 2 :Ar mixtures with 90% dilution was studied experimentally and numerically under the action of a high-voltage nanosecond discharge.
Abstract: The kinetics of ignition in stoichiometric C n H 2 n +2 :O 2 :Ar mixtures with 90% dilution for n = 1–5 has been studied experimentally and numerically under the action of a high-voltage nanosecond discharge. It was shown that the initiation of the discharge by a high-voltage pulse 115 kV in amplitude with a specific deposited energy of 10–30 mJ/cm 3 leads to more than an order of magnitude decrease in the ignition delay time. The generation of atoms, radicals and excited and charged particles by the discharge was numerically described. The role of different atoms and radicals (O, H and C n H 2 n +1 ) was analyzed. The temporal evolution of the densities of intermediate components in the plasma assisted ignition was discussed.

117 citations

Proceedings ArticleDOI
20 Jan 2020
TL;DR: The Recommender VAE (RecVAE) model is proposed that significantly outperforms previously proposed autoencoder-based models, including Mult-VAE and RaCT, across classical collaborative filtering datasets, and is presented with a detailed ablation study to assess new developments.
Abstract: Recent research has shown the advantages of using autoencoders based on deep neural networks for collaborative filtering. In particular, the recently proposed Mult-VAE model, which used the multinomial likelihood variational autoencoders, has shown excellent results for top-N recommendations. In this work, we propose the Recommender VAE (RecVAE) model that originates from our research on regularization techniques for variational autoencoders. RecVAE introduces several novel ideas to improve Mult-VAE, including a novel composite prior distribution for the latent codes, a new approach to setting the beta hyperparameter for the beta-VAE framework, and a new approach to training based on alternating updates. In experimental evaluation, we show that RecVAE significantly outperforms previously proposed autoencoder-based models, including Mult-VAE and RaCT, across classical collaborative filtering datasets, and present a detailed ablation study to assess our new developments. Code and models are available at https://github.com/ilya-shenbin/RecVAE.

117 citations

Journal ArticleDOI
TL;DR: In this paper, the authors review the state-of-the-art advances in the field of spontaneous emission enhancement of magnetic dipole quantum emitters with the use of various nanophotonics systems.
Abstract: Tailoring of electromagnetic spontaneous emission predicted by E. M. Purcell more than 50 years ago has undoubtedly proven to be one of the most important effects in the rich areas of quantum optics and nanophotonics. Although during the past decades the research in this field has been focused on electric dipole emission, the recent progress in nanofabrication and study of magnetic quantum emitters, such as rare-earth ions, has stimulated the investigation of the magnetic side of spontaneous emission. Here, we review the state-of-the-art advances in the field of spontaneous emission enhancement of magnetic dipole quantum emitters with the use of various nanophotonics systems. We provide the general theory describing the Purcell effect of magnetic emitters, overview realizations of specific nanophotonics structures allowing for the enhanced magnetic dipole spontaneous emission, and give an outlook on the challenges in this field, which remain open to future research.

117 citations

Journal ArticleDOI
TL;DR: The manufacturing of microchips containing oligonucleotides and proteins immobilized within gel pads, ranging in size from 10 x 10 to 100 x 100 microns, is described.
Abstract: The manufacturing of microchips containing oligonucleotides and proteins immobilized within gel pads, ranging in size from 10 × 10 to 100 × 100 μm, is described. The microchips are produced by phot...

117 citations

Journal ArticleDOI
TL;DR: SNSPDs embedded in nanophotonic integrated circuits which achieve internal quantum efficiencies close to unity at 1550 nm wavelength allows for the SNSPDs to be operated at bias currents far below the critical current where unwanted dark count events reach milli-Hz levels while on-chip detection efficiencies above 70% are maintained.
Abstract: Superconducting nanowire single-photon detectors (SNSPDs) provide high efficiency for detecting individual photons while keeping dark counts and timing jitter minimal. Besides superior detection performance over a broad optical bandwidth, compatibility with an integrated optical platform is a crucial requirement for applications in emerging quantum photonic technologies. Here we present SNSPDs embedded in nanophotonic integrated circuits which achieve internal quantum efficiencies close to unity at 1550 nm wavelength. This allows for the SNSPDs to be operated at bias currents far below the critical current where unwanted dark count events reach milli-Hz levels while on-chip detection efficiencies above 70% are maintained. The measured dark count rates correspond to noise-equivalent powers in the 10−19 W/Hz−1/2 range and the timing jitter is as low as 35 ps. Our detectors are fully scalable and interface directly with waveguide-based optical platforms.

117 citations


Authors

Showing all 8797 results

NameH-indexPapersCitations
Dominique Pallin132113188668
Vladimir N. Uversky13195975342
Lee Sawyer130134088419
Dmitry Novikov12734883093
Simon Lin12675469084
Zeno Dixon Greenwood126100277347
Christian Ohm12687369771
Alexey Myagkov10958645630
Stanislav Babak10730866226
Alexander Zaitsev10345348690
Vladimir Popov102103050257
Alexander Vinogradov9641040879
Gueorgui Chelkov9332141816
Igor Pshenichnov8336222699
Vladimir Popov8337026390
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202368
2022238
20211,774
20202,246
20192,112
20181,902