Results 81 to 90 of about 789,472 (346)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
The degree of the discriminant of irreducible representations
We present a formula for the degree of the discriminant of irreducible representations of a Lie group, in terms of the roots of the group and the highest weight of the representation. The proof uses equivariant cohomology techniques, namely, the theory of Thom polynomials, and a new method for their computation.
László M. Fehér+2 more
openaire +3 more sources
BMS symmetry, soft particles and memory
In this work, we revisit unitary irreducible representations of the Bondi-Metzner-Sachs (BMS) group discovered by McCarthy. Representations are labelled by an infinite number of super-momenta in addition to four-momentum.
Chatterjee, Atreya, Lowe, David A.
core +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu+4 more
wiley +1 more source
Orthogonal bases in specific generalized symmetry classes of tensors [PDF]
Let $V$ be a unitary vector space. Suppose $G$ is a permutation group of degree $m$ and $\Lambda$ is an irreducible unitary representation of $G$. We denote by $V_{\Lambda}(G)$ the generalized symmetry class of tensors associated with $G$ and $\Lambda ...
Gholamreza Rafatneshan, Yousef Zamani
doaj +1 more source
Kronecker coefficients: the tensor square conjecture and unimodality [PDF]
We consider two aspects of Kronecker coefficients in the directions of representation theory and combinatorics. We consider a conjecture of Jan Saxl stating that the tensor square of the $S_n$-irreducible representation indexed by the staircase partition
Igor Pak, Greta Panova, Ernesto Vallejo
doaj +1 more source
Irreducible representations of the Poincare parasuperalgebra [PDF]
Summary: We explicitly describe all the irreducible unitary representations of the Poincaré parasuperalgebra, i.e. the parasupersymmetric extension of the Lie algebra of the Poincaré group. This parasuperalgebra includes, as a particular case, the usual Poincaré superalgebra and can serve as the group-theoretical foundation of parasupersymmetric ...
V. V. Tretynyk, A. G. Nikitin
openaire +2 more sources
Irvsp: To obtain irreducible representations of electronic states in the VASP [PDF]
Jiacheng Gao+3 more
semanticscholar +1 more source
Finite dimensional irreducible representations of twisted Yangians [PDF]
We study quantized enveloping algebras called twisted Yangians. They are analogs of the Yangian Y(gl(N)) for the classical Lie algebras of B, C, and D series.
A. Molev
semanticscholar +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
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