Results 81 to 90 of about 10,174 (306)

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu   +5 more
wiley   +1 more source

Novel Indexing of Cyclic Codes With Run-Length Applications

open access: yesIEEE Access, 2019
Any cyclic code over a finite field can be considered as a sum of some non-degenerate irreducible cyclic codes. We use the traditional trace function representation of irreducible cyclic codes to suggest a similar representation to any cyclic code.
Hai Q. Dinh   +2 more
doaj   +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

Geometric structure in smooth dual and local Langlands conjecture

open access: yes
This expository paper first reviews some basic facts about p-adic fields, reductive p-adic groups, and the local Langlands conjecture. If G is a reductive p-adic group, then the smooth dual of G is the set of equivalence classes of smooth irreducible ...
Aubert, Anne-Marie   +3 more
core   +1 more source

Rational covariants of reductive groups and homaloidal polynomials [PDF]

open access: yes, 2001
Let G be a complex reductive group, V a G-module and f a nonconstant homogenous invariant polynomial on V. We investigate relations between the following properties:- The differential df: V -< V* is dominant;- The invariant f is homaloidal, i.e., df ...
Kraft, Hanspeter, Schwarz, Gerald W.
core  

Irreducible affine isometric actions on Hilbert spaces

open access: yes, 2016
39 pagesInternational audienceWe undertake a systematic study of irreducible affine isometric actions of locally compact groups on Hilbert spaces.
Valette, Alain   +2 more
core   +1 more source

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

On tensor squares of irreducible representations of almost simple groups. I

open access: yesМоделирование и анализ информационных систем, 2011
Almost simple SM_m-groups are considered. A group G is called a SM_m-group if the tensor square of any irreducible representation is decomposed into the sum of its irreducible representations with multiplicities not greater than m.
S. V. Polyakov
doaj  

Two contributions to the representation theory of algebraic groups [PDF]

open access: yes, 2002
Let V be a nite dimensional complex vector space. A subset X in V has the separation property if the following holds: For any pair l, m of linearly independent linear functions on V there is a point x in X such that l(x) = 0 and m(x) 6= 0.
Baur, Karin
core   +1 more source

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

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