Results 61 to 70 of about 989,594 (156)
Thermoelectric transport coefficients of quark matter
European Physical Journal C: Particles and Fields, 2022 A thermal gradient and/or a chemical potential gradient in a conducting medium can lead to an electric field, an effect known as thermoelectric effect or Seebeck effect.
Aman Abhisek +3 more
doaj +1 more source
arXiv, 2016 We provide a survey on relational models. Relational models describe complete networked {domains by taking into account global dependencies in the data}. Relational models can lead to more accurate predictions if compared to non-relational machine learning approaches.
arxiv
Towards Automatic Support of Software Model Evolution with Large Language~Models [PDF]
arXiv, 2023 Modeling structure and behavior of software systems plays a crucial role, in various areas of software engineering. As with other software engineering artifacts, software models are subject to evolution. Supporting modelers in evolving models by model completion facilities and providing high-level edit operations such as frequently occurring editing ...
arxiv
Parameter fitting in three-flavor Nambu–Jona-Lasinio model with various regularizations
Nuclear Physics B, 2016 We study the three-flavor Nambu–Jona-Lasinio model with various regularization procedures. We perform parameter fitting in each regularization and apply the obtained parameter sets to evaluate various physical quantities, several light meson masses ...
H. Kohyama, D. Kimura, T. Inagaki
doaj +1 more source
Dark confinement and chiral phase transitions: gravitational waves vs matter representations
Journal of High Energy Physics, 2022 We study the gravitational-wave signal stemming from strongly coupled models featuring both, dark chiral and confinement phase transitions. We therefore identify strongly coupled theories that can feature a first-order phase transition.
Manuel Reichert +3 more
doaj +1 more source
Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model [PDF]
arXiv, 2019 Interpretable machine learning has become a strong competitor for traditional black-box models. However, the possible loss of the predictive performance for gaining interpretability is often inevitable, putting practitioners in a dilemma of choosing between high accuracy (black-box models) and interpretability (interpretable models).
arxiv
Majorana neutrino and the vacuum of Bogoliubov quasiparticle
Physics Letters B, 2018 The Lagrangian of the seesaw mechanism is C violating but the same Lagrangian when re-written in terms of Majorana neutrinos is manifestly C invariant.
Kazuo Fujikawa
doaj
Quark–meson coupling model based upon the Nambu–Jona Lasinio model
Physics Letters B, 2016 The NJL model for the octet baryons, using proper time regularisation to simulate some of the features of confinement, is solved self-consistently in nuclear matter.
D.L. Whittenbury +2 more
doaj
Possible Approach to Dynamical Supersymmetry Breaking via Nambu-Jona-Lasinio Model
EPJ Web of Conferences, 2018 Supersymmetry is undoubtedly a popular candidate for physics beyond the Standard Model. However, the origin of soft supersymmetry breaking masses has been usually depicted intricately in the literature via extra hidden/mediating sectors.
Cheng Yifan
doaj +1 more source
Wigner solution of the quark gap equation
European Physical Journal C: Particles and Fields, 2018 Solutions and their evolutions of the quark gap equation are studied within the Nambu–Jona–Lasinio model, which is a basic issue for studying the QCD phase structure and locating the possible critical end point.
Zhu-Fang Cui +5 more
doaj +1 more source