Beitrag zur Theorie des Ferromagnetismus

By E. Ising. 1925

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Citations in the corpus

Mean Field Multi-Agent Reinforcement Learning (2018, methodology): “In statistical mechanics, the Ising model is a mathematical framework to describe ferromagnetism (Ising, 1925).”
Inverse Reinforcement Learning in Swarm Systems (2016, methodology): “In a second experiment, we applied our framework to the well-known Ising model [13] which, in our case, consists of a finite grid of atoms (or agents) of size 100 × 100.”
Automated trading with boosting and expert weighting (2010, unknown): “The application of the Ising model [37] to ﬁnancial markets has led to several versions of the spin model where a sell position is a spin-up and a buy position is a spin-down.”
The Gaussian Graphical Model in Cross-Sectional and Time-Series Data (2016, background): “Point 3 follows from observing that the GGM is directly related to similar undirected models such as the Ising model (Ising, 1925).”
A Comparison of U.S. and European University-Industry Relations in the Life Sciences (2001, unknown): “We adopt a general analytical technique based on the theory of random fields (Ising 1925, Guyon 1994) to graphically display collaborative networks at the national, cross-national, and organizational level.6 Specifically, we applied the Fruchterman-Reingold (FR) algorithm (1991) to simulate our…”
Universality in the 2D Ising model and conformal invariance of fermionic observables (2009, background): “dent Ising proved [19] in his PhD thesis the absence of phase transition in dimension one, wrongly conjecturing the same picture in higher dimensions.”
Quantum memories at finite temperature (2014, methodology): “In this Subsection, we review the Peierls argument of stability in the two-dimensional classical Ising model (Ising, 1925).”
A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape (2007, background): “Statistical approaches to image segmentation have a long tradition, they can be traced back to models of magnetism in physics, such as the Ising model (Ising, 1925), pioneering works in the field of image processing include spatially discrete formulations such as those of Geman and Geman (1984) and ”
A convex relaxation approach for computing minimal partitions (2009, background): “It is the generalization of the two-state model of Ising [18] to multiple states (labels).”