Zobrazeno 1 - 10
of 1 554
pro vyhledávání: '"Dhavala"'
Autor:
Pietanesi, Laura, Marganska, Magdalena, Mayer, Thomas, Barth, Michael, Chen, Lin, Zou, Ji, Weindl, Adrian, Liebig, Alexander, Díaz-Pardo, Rebeca, Suri, Dhavala, Schmid, Florian, Gießibl, Franz J., Richter, Klaus, Tserkovnyak, Yaroslav, Kronseder, Matthias, Back, Christian H.
Publikováno v:
Phys. Rev. B 109, 064424 (2024)
Ferromagnetic resonance is used to reveal features of the buried electronic band structure at interfaces between ferromagnetic metals and topological insulators. By monitoring the evolution of magnetic damping, the application of this method to a hyb
Externí odkaz:
http://arxiv.org/abs/2403.03518
Autor:
Ou, Yunbo, Mirzhalilov, Murod, Nemes, Norbert M., Martinez, Jose L., Rocci, Mirko, Duong, Alexander, Akey, Austin, Ge, Wenbo, Suri, Dhavala, Wang, Yiping, Ambaye, Haile, Keum, Jong, Randeria, Mohit, Trivedi, Nandini, Burch, Kenneth S., Bell, David C., Wu, Weida, Heiman, Don, Lauter, Valeria, Moodera, Jagadeesh S., Chi, Hang
Exchange-coupled interfaces are pivotal in exploiting two-dimensional (2D) ferromagnetism. Due to the extraordinary correlations among charge, spin, orbital and lattice degrees of freedom, layered magnetic transition metal chalcogenides (TMCs) bode w
Externí odkaz:
http://arxiv.org/abs/2312.15028
Autor:
Peshal Karki, Rajasekhar Bhimireddi, Lokeswararao Dhavala, Anupama A V, Apparao M. Rao, Raja Karreddula, Anees A. Ansari
Publikováno v:
ACS Omega, Vol 9, Iss 43, Pp 43948-43955 (2024)
Externí odkaz:
https://doaj.org/article/762d26b4f4cf4f1b9da38b7e4665e2bf
Publikováno v:
J. Phys. : Condens. Matter 35, 435302 (2023)
Altermagnet (AM) is a novel time reversal symmetry broken magnetic phase with $d$-wave order which has been experimentally realized recently. We discuss theoretical models of altermagnet based systems on lattice and in continuum. We show equivalence
Externí odkaz:
http://arxiv.org/abs/2305.06680
Quantification of Uncertainty in predictions is a challenging problem. In the classification settings, although deep learning based models generalize well, class probabilities often lack reliability. Calibration errors are used to quantify uncertaint
Externí odkaz:
http://arxiv.org/abs/2304.12766
Autor:
Banerjee, Pronoma, Gude, Manasi V, Sampat, Rajvi J, Hedaoo, Sharvari M, Dhavala, Soma, Saha, Snehanshu
Machine learning models are often misspecified in the likelihood, which leads to a lack of robustness in the predictions. In this paper, we introduce a framework for correcting likelihood misspecifications in several paradigm agnostic noisy prior mod
Externí odkaz:
http://arxiv.org/abs/2304.03805
Anomalies refer to the departure of systems and devices from their normal behaviour in standard operating conditions. An anomaly in an industrial device can indicate an upcoming failure, often in the temporal direction. In this paper, we make two con
Externí odkaz:
http://arxiv.org/abs/2302.08712
Autor:
Suri, Dhavala, Kamra, Akashdeep, Meier, Thomas N. G., Kronseder, Matthias, Belzing, Wolfgang, Back, Christian H., Strunk, Christoph
Publikováno v:
Applied Physics Letters 121, 102601 (2022)
Non-reciprocity in the critical current has been observed in a variety of superconducting systems and has been called the superconducting diode effect. The origin underlying the effect depends on the symmetry breaking mechanisms at play. We investiga
Externí odkaz:
http://arxiv.org/abs/2209.05754
Publikováno v:
Proceedings of the Indian History Congress, 1949 Jan 01. 12, 127-129.
Externí odkaz:
https://www.jstor.org/stable/44140520
Mining large datasets and obtaining calibrated predictions from tem is of immediate relevance and utility in reliable deep learning. In our work, we develop methods for Deep neural networks based inferences in such datasets like the Gene Expression.
Externí odkaz:
http://arxiv.org/abs/2206.09333