Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Arlego, M."'
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 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:
In Computational Materials Science 15 February 2024 235
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:
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
Publikováno v:
Phys. Rev. B 95, 214426 (2017)
The magnetic phase diagram of a plaquette dimerized antiferromagnetic system is studied by using a combination of numerical and analytical techniques. For the strongly frustrated regime, series expansions and bond operators techniques are employed to
Externí odkaz:
http://arxiv.org/abs/1704.01588
Publikováno v:
In Computational Materials Science October 2021 198
Publikováno v:
J. Phys.: Conf. Ser. 568 042019 (2014)
We study the frustrated Heisenberg model on the bilayer honeycomb lattice. The ground-state energy and spin gap are calculated, using different bosonic representations at mean field level and numerical calculations, to explore different sectors of th
Externí odkaz:
http://arxiv.org/abs/1501.04930
Publikováno v:
Phys. Rev. B 90, 174403 (2014)
We study the ground state phase diagram of a frustrated spin-1/2 four-leg spin tube in an external magnetic field. We explore the parameter space of this model in the regime of all-antiferromagnetic exchange couplings by means of three different appr
Externí odkaz:
http://arxiv.org/abs/1410.5502