95 research outputs found
Inverse design of disordered stealthy hyperuniform spin chains
Positioned between crystalline solids and liquids, disordered many-particle
systems which are stealthy and hyperuniform represent new states of matter that
are endowed with novel physical and thermodynamic properties. Such stealthy and
hyperuniform states are unique in that they are transparent to radiation for a
range of wavenumbers around the origin. In this work, we employ recently
developed inverse statistical-mechanical methods, which seek to obtain the
optimal set of interactions that will spontaneously produce a targeted
structure or configuration as a unique ground state, to investigate the
spin-spin interaction potentials required to stabilize disordered stealthy
hyperuniform one-dimensional (1D) Ising-like spin chains. By performing an
exhaustive search over the spin configurations that can be enumerated on
periodic 1D integer lattices containing sites, we were able
to identify and structurally characterize \textit{all} stealthy hyperuniform
spin chains in this range of system sizes. Within this pool of stealthy
hyperuniform spin configurations, we then utilized such inverse optimization
techniques to demonstrate that stealthy hyperuniform spin chains can be
realized as either unique or degenerate disordered ground states of radial
long-ranged (relative to the spin chain length) spin-spin interactions. Such
exotic ground states are distinctly different from spin glasses in both their
inherent structural properties and the nature of the spin-spin interactions
required to stabilize them. As such, the implications and significance of the
existence of such disordered stealthy hyperuniform ground state spin systems
warrants further study, including whether their bulk physical properties and
excited states, like their many-particle system counterparts, are singularly
remarkable, and can be experimentally realized.Comment: 11 pages, 9 figure
METÁFORAS DE LETRAS EM CULTURAS JURÍDICAS DA ESCRITA: COMO SE É FIEL À VONTADE DA LEI?
Este estudo busca fazer uma análise sobre o “método” de uma “metaforologia”, culturas jurídicas da escrita, sobre a “guerra” entre direito consuetudinário e direito legislado. Sem esgotar a discussão existente sobre os temas referidos, por fim, trata da reflexividade metafórica na literalidade
Monoteísmo, Kyriarcado e Fundamentalismo religioso
Partindo da definição de kyriarcado e do uso de uma hermenêutica da suspeita, este artigo pretende observar algumas consequências do processo de formação do monoteísmo no Antigo Israel para a vida das mulheres. Assim, foi necessário perpassar por três momentos históricos: as mudanças religiosas de Ezequias e Josias na implantação da monolatria e o pós-exílio como passo final ao monoteísmo. Nesses momentos, percebe-se a exclusão das mulheres na representação de experiência religiosa como divindades e ainda dos papéis religiosos que ocupavam. Procura-se compreender que esses acontecimentos configuram, em etapas, um sistema de domínio kyriarcal, por concentrar o sagrado em um só Deus e pela liderança político-religiosa ocupada por homens, restringindo a mulher aos ambientes domésticos e não oficiais. Também aborda a forma como as traduções ocultam os papéis de mulheres e as Deusas presentes no texto sagrado. Termina discutindo o papel dos fundamentalismos na manutenção de um sistema de kyriarcado hoje
UMA CRÍTICA AO CONCEITO DE ABISMO GNOSEOLÓGICO NA TEORIA RETÓRICA DE JOÃO MAURÍCIO ADEODATO
A noção de abismo gnoseológico, em conjunto com a de abismo axiológico, é a base epistemológica da teoria retórica de João Maurício Adeodato. Ela faz parte dos fundamentos teóricos e apoia as teses do autor sobre a impossibilidade de comunicação plena, das verdades imutáveis e da ideia de uma etiologia jurídica. Neste artigo, buscamos demonstrar que a noção de abismo gnoseológico possui como fundamento uma teoria da linguagem como representação, e pressupõe uma ontologia calcada em teorias da mente comuns à tradição ocidental. Argumentamos, utilizando-nos de conceitos da filosofia tardia de Wittgenstein, que tais pressupostos parecem estar em desacordo com outras posições do próprio Adeodato
UMA CRÍTICA AO CONCEITO DE ABISMO GNOSEOLÓGICO NA TEORIA RETÓRICA DE JOÃO MAURÍCIO ADEODATO
The notion of gnoseological abyss, in conjunction with that of axiological abyss, forms the epistemological basis of João Maurício Adeodato’s rethorical theory. It is a part of his theoretical foundations and plays a role in supporting the author’s thesis about the impossibility of absolute communication, immutable truths and the idea of a legal ethology. In this article we purport to demonstrate that the notion of gnoseological abyss relies on a view of language as representation, and assumes an ontology common to the Western tradition when it comes to the theory of mind. We argue, following Wittgenstein’s late philosophy, that such assumptions go against Adeodato’s own positions
Reconstruction of three-dimensional porous media using generative adversarial neural networks
To evaluate the variability of multi-phase flow properties of porous media at
the pore scale, it is necessary to acquire a number of representative samples
of the void-solid structure. While modern x-ray computer tomography has made it
possible to extract three-dimensional images of the pore space, assessment of
the variability in the inherent material properties is often experimentally not
feasible. We present a novel method to reconstruct the solid-void structure of
porous media by applying a generative neural network that allows an implicit
description of the probability distribution represented by three-dimensional
image datasets. We show, by using an adversarial learning approach for neural
networks, that this method of unsupervised learning is able to generate
representative samples of porous media that honor their statistics. We
successfully compare measures of pore morphology, such as the Euler
characteristic, two-point statistics and directional single-phase permeability
of synthetic realizations with the calculated properties of a bead pack, Berea
sandstone, and Ketton limestone. Results show that GANs can be used to
reconstruct high-resolution three-dimensional images of porous media at
different scales that are representative of the morphology of the images used
to train the neural network. The fully convolutional nature of the trained
neural network allows the generation of large samples while maintaining
computational efficiency. Compared to classical stochastic methods of image
reconstruction, the implicit representation of the learned data distribution
can be stored and reused to generate multiple realizations of the pore
structure very rapidly.Comment: 21 pages, 20 figure
- …