Zobrazeno 1 - 10
of 728
pro vyhledávání: '"Lamas, C"'
Publikováno v:
Computational Materials Science Volume 235, 15 February 2024, 112792
In this article, we explore the potential of artificial neural networks, which are trained using an exceptionally simplified catalog of ideal configurations encompassing both order and disorder. We explore the generalisation power of these networks t
Externí odkaz:
http://arxiv.org/abs/2310.02122
Publikováno v:
Phys. Rev. B 106, 195119 (2022)
A theoretical model for two new tellurite-sulfates, namely Na$_2$Cu$_5$(TeO$_3$)(SO$_4$)$_3$(OH)$_4$ and K$_2$Cu$_5$(TeO$_3$)(SO$_4$)$_3$ (OH)$_4$ is determined to be compatible with ab-initio calculations. The results obtained in this work show that
Externí odkaz:
http://arxiv.org/abs/2210.15416
The spin-3/2 Heisenberg antiferromagnet on the bilayer honeycomb lattice is a minimal model to describe the magnetic behavior of Bi$_3$Mn$_4$O$_{12}$(NO$_3$). We study this model with frustrating inter-layer second-neighbor couplings, taking into acc
Externí odkaz:
http://arxiv.org/abs/2109.11687
Publikováno v:
Phys. Rev. B 103, 134422 (2021)
We apply unsupervised learning techniques to classify the different phases of the $J_1-J_2$ antiferromagnetic Ising model on the honeycomb lattice. We construct the phase diagram of the system using convolutional autoencoders. These neural networks c
Externí odkaz:
http://arxiv.org/abs/2101.10161
Publikováno v:
Phys. Rev. B 102, 195139 (2020)
Localized magnons states, due to flat bands in the spectrum, is an intensely studied phenomenon and can be found in many frustrated magnets of different spatial dimensionality. The presence of Dzyaloshinskii-Moriya (DM) interactions may change radica
Externí odkaz:
http://arxiv.org/abs/2009.04970
Publikováno v:
Computational Materials Science Volume 198, October 2021, 110702
The transfer learning of a neural network is one of its most outstanding aspects and has given supervised learning with neural networks a prominent place in data science. Here we explore this feature in the context of strongly interacting many-body s
Externí odkaz:
http://arxiv.org/abs/2009.00661
Publikováno v:
Phys. Rev. B 100, 195145 (2019)
In this work we analyze the magnetization properties of an antiferromagnetic Kagom\'e stripe lattice, motivated by the recent synthesis of materials exhibiting this structure. By employing a variety of techniques that include numerical methods as Den
Externí odkaz:
http://arxiv.org/abs/1908.11269
Publikováno v:
Computational Materials Science Volume 178, 1 June 2020, 109628
In this paper, it is presented a novel strategy to optimize the determination of magnetic couplings by using ab-initio calculations of the energy. This approach allows determining efficiently, in terms of a proposed effective magnetic spin model, an
Externí odkaz:
http://arxiv.org/abs/1907.03376
Publikováno v:
Phys. Rev. B 99, 014409 (2019)
We analyze the phase diagram of the exact ground state (GS) of spin-$s$ chains with ferromagnetic $XXZ$ couplings under $n$-alternating field configurations, i.e, sparse alternating fields having nodes at $n-1$ contiguous sites. It is shown that such
Externí odkaz:
http://arxiv.org/abs/1809.00743
Publikováno v:
Phys. Rev. B 97, 235123 (2018)
The spin$-1/2$ Heisenberg antiferromagnet on the honeycomb bilayer lattice is shown to display a rich variety of semiclassical and genuinely quantum phases, controlled by the interplay between intralayer frustration and interlayer exchange. Employing
Externí odkaz:
http://arxiv.org/abs/1712.08216