Results 81 to 90 of about 6,914 (263)

Predicting Performance of Hall Effect Ion Source Using Machine Learning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park   +8 more
wiley   +1 more source

Irreducible representations for Virasoro-toroidal Lie algebras

open access: yes, 2004
For any Virasoro-toroidal Lie algebra of type Xl(1) (X=A,B,C,D,E,F,G), we give some explicit irreducible representations from the vertex operators and some oscillator representations of Virasoro ...
Xia, Li-Meng, Hu, Nai-Hong
core   +1 more source

IRREDUCIBLE '-REPRESENTATIONS ON BANACH '-ALGEBRAS

open access: yesDemonstratio Mathematica, 1999
Let \(A\) be a complex Banach \(*\)-algebra and, for \(a\in A\), \(g(a)\) the supremum of \(\eta(a)\) over all \(B^*\)-seminorms \(\eta\) on \(A\). A linear functional \(f\) on \(A\) is \(g\)-bounded iff \(|f|_g= \sup\{f(a):g(a)\leq 1\}\) is finite; \(D(g)\) is the set of \(g\)-bounded functionals with \(|f|_g\leq 1\).
openaire   +2 more sources

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

open access: yesAdvanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez   +4 more
wiley   +1 more source

The smooth irreducible representations of U(2)

open access: yes, 2010
In this paper we parametrize all smooth irreducible representations of U(2), the compact unitary group in two ...
Manouchehr Misaghian   +1 more
core   +1 more source

Dimensions of the AI Divide: Digital Inequality and Psychological Consequences

open access: yesAI &Innovation, EarlyView.
ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley   +1 more source

Dual pair correspondence in physics: oscillator realizations and representations

open access: yesJournal of High Energy Physics, 2020
We study general aspects of the reductive dual pair correspondence, also known as Howe duality. We make an explicit and systematic treatment, where we first derive the oscillator realizations of all irreducible dual pairs: (GL(M, ℝ), GL(N, ℝ)), (GL(M, ℂ),
Thomas Basile   +3 more
doaj   +1 more source

A computational approach to 1-dimensional representations of finite W-algebras associated to simple Lie algebras of exceptional type

open access: yes, 2010
Let g be a simple complex Lie algebra and let e be a nilpotent element of g. It was conjectured by Premet in [P07i] that the finite W-algebra U(g; e) admits a 1-dimensional representation, and further work [L10, P08] has reduced this conjecture to the ...
Ubly, Glenn
core  

Irreducible projective representations of the symmetric group which remain irreducible in characteristic $2$

open access: yes, 2017
For any finite group $G$ and any prime $p$ one can ask which ordinary irreducible representations remain irreducible in characteristic $p$. We answer this question for $p=2$ when $G$ is a proper double cover of the symmetric group. Our techniques involve
Fayers, Matthew   +2 more
core   +1 more source

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