Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Đorđević, S. V."'
Autor:
Dordevic, S. V.
Publikováno v:
Physica B 691, 416295 (2024)
Deep learning models were developed and implemented to aid the search for new heavy fermion compounds. For the purpose of these calculations a database of more than 200 heavy fermions was compiled from the literature. The deep learning networks train
Externí odkaz:
http://arxiv.org/abs/2407.17290
Autor:
Yuan, Samuel, Dordevic, S. V.
Publikováno v:
Scientific Reports 14, 10275 (2024)
Effective computational search holds great potential for aiding the discovery of High-Temperature Superconductors (HTSs), especially given the lack of systematic methods for their discovery. Recent progress has been made in this area with machine lea
Externí odkaz:
http://arxiv.org/abs/2402.00198
Autor:
Kim, Evan, Dordevic, S. V.
Publikováno v:
J. Phys.: Condens. Matter 36, 025702 (2024)
Despite having been discovered more than three decades ago, High Temperature Superconductors (HTSs) lack both an explanation for their mechanisms and a systematic way to search for them. To aid this search, this project proposes ScGAN, a Generative A
Externí odkaz:
http://arxiv.org/abs/2209.03444
Publikováno v:
Physica C 598, 1354078 (2022)
In this work we used unsupervised machine learning methods in order to find possible clustering structures in superconducting materials data sets. We used the SuperCon database, as well as our own data sets complied from literature, in order to explo
Externí odkaz:
http://arxiv.org/abs/2207.02075
Autor:
Dordevic, S. V., Homes, C. C.
Publikováno v:
Phys.Rev.B 105, 214514 (2022)
Recent study of overdoped La$_{2-x}$Sr$_x$CuO$_4$ cuprate superconductor thin films by Bo\v{z}ovi\'{c} {\it et al.} has revealed several unexpected findings, most notably the violation of the BCS description which was believed to adequately describe
Externí odkaz:
http://arxiv.org/abs/2206.13987
Autor:
Roter, B., Dordevic, S. V.
Publikováno v:
Physica C 575, 1353689 (2020)
We used the superconductors in the SuperCon database to construct element vectors and then perform unsupervised learning of their critical temperatures (T$_c$). Only the chemical composition of superconductors was used in this procedure. No physical
Externí odkaz:
http://arxiv.org/abs/2002.07266
Publikováno v:
Phys.Rev.B. 98, 115138 (2018)
We report on the experimental observation of a cyclotron antiresonance in a canonical 3D topological insulator Bi$_2$Te$_3$. Magneto-reflectance response of single crystal Bi$_2$Te$_3$ was studied in 18 Tesla magnetic field, and compared to other top
Externí odkaz:
http://arxiv.org/abs/1809.09492
Autor:
Dordevic, S. V., Foster, G. M., Wolf, M. S., Stojilovic, N., Lei, H., Petrovic, C., Chen, Z., Li, Z. Q., Tung, L. C.
Publikováno v:
J.Phys.: Condens. Matter 28, 165602 (2016)
We studied magneto-optical response of a canonical topological insulator Bi$_2$Se$_3$ with the goal of addressing a controversial issue of electron-phonon coupling. Magnetic-field induced modifications of reflectance are very pronounced in the infrar
Externí odkaz:
http://arxiv.org/abs/1610.02012
Publikováno v:
Phys. Rev. B 90, 174508 (2014)
Quasiparticle properties in the superconducting state are masked by the superfluid and are not directly accessible to infrared spectroscopy. We show how one can use a Kramers--Kronig transformation to separate the quasiparticle from superfluid respon
Externí odkaz:
http://arxiv.org/abs/1409.7371
Publikováno v:
Scientific Reports 3, 1713 (2013)
Universal scaling relations are of tremendous importance in science, as they reveal fundamental laws of nature. Several such scaling relations have recently been proposed for superconductors; however, they are not really universal in the sense that s
Externí odkaz:
http://arxiv.org/abs/1305.0019