1,631 research outputs found
The phase diagram of neutral quark matter: The effect of neutrino trapping
We study the effect of neutrino trapping on the phase diagram of dense,
locally neutral three-flavor quark matter within the framework of a
Nambu--Jona-Lasinio model. In the analysis, dynamically generated quark masses
are taken into account self-consistently. The phase diagrams in the plane of
temperature and quark chemical potential, as well as in the plane of
temperature and lepton-number chemical potential are presented. We show that
neutrino trapping favors two-flavor color superconductivity and disfavors the
color-flavor-locked phase at intermediate densities of matter. At the same
time, the location of the critical line separating the two-flavor
color-superconducting phase and the normal phase of quark matter is little
affected by the presence of neutrinos. The implications of these results for
the evolution of protoneutron stars are briefly discussed.Comment: 10 pages, 9 figures, references added; version accepted for
publication in Phys. Rev.
Phase diagram of neutral quark matter at moderate densities
We discuss the phase diagram of moderately dense, locally neutral
three-flavor quark matter using the framework of an effective model of quantum
chromodynamics with a local interaction. The phase diagrams in the plane of
temperature and quark chemical potential as well as in the plane of temperature
and lepton-number chemical potential are discussed.Comment: 32 pages, 11 figures; contribution to the proceedings of the INT
workshop "Pairing in fermionic systems", Seattle, September 19-23, 200
Develop and test fuel cell powered on-site integrated total energy system
Test results are presented for a 24 cell, two sq ft (4kW) stack. This stack is a precursor to a 25kW stack that is a key milestone. Results are discussed in terms of cell performance, electrolyte management, thermal management, and reactant gas manifolding. The results obtained in preliminary testing of a 50kW methanol processing subsystem are discussed. Subcontracting activities involving application analysis for fuel cell on site integrated energy systems are updated
The phase diagram of neutral quark matter: Self-consistent treatment of quark masses
We study the phase diagram of dense, locally neutral three-flavor quark
matter within the framework of the Nambu--Jona-Lasinio model. In the analysis,
dynamically generated quark masses are taken into account self-consistently.
The phase diagram in the plane of temperature and quark chemical potential is
presented. The results for two qualitatively different regimes, intermediate
and strong diquark coupling strength, are presented. It is shown that the role
of gapless phases diminishes with increasing diquark coupling strength.Comment: 10 pages, 7 figures. Two new figures added as in the published
versio
Artificial Intelligence for Cybersecurity: Towards Taxonomy-based Archetypes and Decision Support
Cybersecurity is a critical success factor for more resilient companies, organizations, and societies against cyberattacks. Artificial intelligence (AI)-driven cybersecurity solutions have the ability to detect and respond to cyber threats and attacks and other malicious activities. For this purpose, the most important resource is security-relevant data from networks, cloud systems, clients, e-mails, and previous cyberattacks. AI, the key technology, can automatically detect, for example, anomalies and malicious behavior. Consequently, the market for AI-driven cybersecurity solutions is growing significantly. We develop a taxonomy of AI-driven cybersecurity business models by classifying 229 real-world services. Building on that, we derive four specific archetypes using a cluster analysis toward a comprehensive academic knowledge base of business model elements. To reduce complexity and simplify the results of the taxonomy and archetypes, we propose DETRAICS, a decision tree for AI-driven cybersecurity services. Practitioners, decision-makers, and researchers benefit from DETRAICS to select the most suitable AI-driven service
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