Zobrazeno 1 - 10
of 909
pro vyhledávání: '"Dung, N"'
Generalization remains a major problem in supervised learning of single-channel speech enhancement. In this work, we propose learnable loss mixup (LLM), a simple and effortless training diagram, to improve the generalization of deep learning-based sp
Externí odkaz:
http://arxiv.org/abs/2312.17255
The accurate modeling of mode hybridization and calculation of radiative relaxation rates have been crucial to the design and optimization of superconducting quantum devices. In this work, we introduce a spectral theory for the electrohydrodynamics o
Externí odkaz:
http://arxiv.org/abs/2309.03435
Autor:
Maldonado, Thomas J., Pham, Dung N., Amaolo, Alessio, Rodriguez, Alejandro W., Türeci, Hakan E.
By applying a hydrodynamic representation of non-relativistic scalar electrodynamics to the superconducting order parameter, we predict a negative (attractive) pressure between planar superconducting bodies. For conventional superconductors with Lond
Externí odkaz:
http://arxiv.org/abs/2307.04903
Modeling the behavior of superconducting electronic circuits containing Josephson junctions is crucial for the design of superconducting information processors and devices. In this paper, we introduce DEC-QED, a computational approach for modeling th
Externí odkaz:
http://arxiv.org/abs/2212.12775
In this paper, we consider a fundamental class of stochastic differential equations with time delays. Our aim is to investigate the weak convergence with respect to delay parameter of the solutions. Based on the techniques of Malliavin calculus, we o
Externí odkaz:
http://arxiv.org/abs/2109.01811
Autor:
Jérémie Prévost, Yaozong Chen, Fei Zhou, William D. Tolbert, Romain Gasser, Halima Medjahed, Manon Nayrac, Dung N. Nguyen, Suneetha Gottumukkala, Ann J. Hessell, Venigalla B. Rao, Edwin Pozharski, Rick K. Huang, Doreen Matthies, Andrés Finzi, Marzena Pazgier
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract The HIV-1 entry inhibitor temsavir prevents the viral receptor CD4 (cluster of differentiation 4) from interacting with the envelope glycoprotein (Env) and blocks its conformational changes. To do this, temsavir relies on the presence of a r
Externí odkaz:
https://doaj.org/article/5ca0ee97820f4768be0d20e9dea09bbe
Publikováno v:
Journal of Applied Physics 127, 215103 (2020)
La(Fe,Si)$_{13}$-based compounds are considered to be very promising magnetocaloric materials for magnetic refrigeration applications. Many studies have focused on this material family but only in bulk form. In this paper, we report the fabrication o
Externí odkaz:
http://arxiv.org/abs/2006.01656
Autor:
Gamzatov, A. G., Batdalov, A. B., Aliev, A. M., Yen, P. D. H., Gudina, S. V., Neverov, V. N., Thanh, T. D., Dung, N. T., Yu, S. -C., Kim, D-H., Phan, M. H.
We present the results of a comparative analysis of the magnetocaloric effect (MCE) in Pr0.7Sr0.2Ca0.1MnO3, through direct and indirect measurements, using experimentally measured magnetization, specific heat, magnetostriction, resistivity, thermal d
Externí odkaz:
http://arxiv.org/abs/2005.04569
Present day electromagnetic field calculations have limitations that are due to techniques employing edge-based discretization methods. While these vector finite element methods solve the issues of tangential continuity of fields and the removal of s
Externí odkaz:
http://arxiv.org/abs/1912.04409
Publikováno v:
Phys. Rev. B 101, 045306 (2020)
Confined geometries such as semiconductor quantum dots are promising candidates for fabricating quantum computing devices. When several quantum dots are in proximity, spatial correlation between electrons in the system becomes significant. In this ar
Externí odkaz:
http://arxiv.org/abs/1912.04415