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- Carl von Ossietzky Universität OldenburgDE11 papers
- Constructor UniversityDE8 papers
- University of OxfordGB6 papers
- Centre for Quantum TechnologiesSG4 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Harvard UniversityUS4 papers
- Leibniz University HannoverDE4 papers
- Max Planck SocietyDE4 papers
- National University of SingaporeSG4 papers
- Universität HamburgDE4 papers
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- University of WürzburgDE4 papers
23 papers · 1 filter
Mean-field-like behavior of the generalized voter-model-class kinetic Ising model
Sebastian M. Krause, Philipp Böttcher, Stefan Bornholdt
We analyze a kinetic Ising model with suppressed bulk noise which is a prominent representative of the generalized voter model phase transition. On the one hand we discuss the mode…
Opinion formation model for markets with a social temperature and fear
Sebastian M. Krause, Stefan Bornholdt
In the spirit of behavioral finance, we study the process of opinion formation among investors using a variant of the 2D Voter Model with a tunable social temperature. Further, a f…
Astrodynamical Space Test of Relativity using Optical Devices I (ASTROD I) - Mission Overview
Hanns Selig, Claus Laemmerzahl, Wei-Tou Ni
ASTROD I is the first planned space mission in a series of ASTROD missions for testing relativity in space using optical devices. The main aims are: (i) to test General Relativity…
Parsimonious module inference in large networks
Tiago P. Peixoto
We investigate the detectability of modules in large networks when the number of modules is not known in advance. We employ the minimum description length (MDL) principle which see…
Vanishing quantum discord is not necessary for completely-positive maps
Aharon Brodutch, Animesh Datta, Kavan Modi +2
The description of the dynamics of a system that may be correlated with its environment is only meaningful within the context of a specific framework. Different frameworks rely upo…
Lex-Partitioning: A New Option for BDD Search
Stefan Edelkamp, Peter Kissmann, Álvaro Torralba
For the exploration of large state spaces, symbolic search using binary decision diagrams (BDDs) can save huge amounts of memory and computation time. State sets are represented an…