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 $N=2,3,\ldots,36$ 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