Results 11 to 20 of about 52,278 (263)
Quantum Embedding Theories [PDF]
Accounts of Chemical Research, 2016 In complex systems, it is often the case that the region of interest forms only one part of a much larger system. The idea of joining two different quantum simulations - a high level calculation on the active region of interest, and a low level calculation on its environment - formally defines a quantum embedding.
Sun, Qiming, Chan, Garnet Kin-Lic
openaire +4 more sources
Non-Relativistic Limit of Embedding Gravity as General Relativity with Dark Matter
Universe, 2020 Regge-Teitelboim embedding gravity is the modified gravity based on a simple string-inspired geometrical principle—our spacetime is considered here as a 4-dimensional surface in a flat bulk.
Sergey Paston
doaj +1 more source
Embedding integrable superspin chain in string theory
Nuclear Physics B, 2023 Using results on topological line defects of 4D Chern-Simons theory and the algebra/cycle homology correspondence in complex surfaces S with ADE singularities, we study the graded properties of the sl(m|n) chain and its embedding in string theory ...
Y. Boujakhrout +3 more
doaj +1 more source
Journal of High Energy Physics, 2021 We consider, at the linearized level, the superspace formulation of lower-dimensional F-theory. In particular, we describe the embedding of 3D Type II super-gravity of the superstring, or 4D, N = 1 supergravity of M-theory, into the corresponding F ...
William D. Linch, Warren Siegel
doaj +1 more source
A Rigorous Theory of Conditional Mean Embeddings [PDF]
SIAM Journal on Mathematics of Data Science, 2020 Conditional mean embeddings (CMEs) have proven themselves to be a powerful tool in many machine learning applications. They allow the efficient conditioning of probability distributions within the corresponding reproducing kernel Hilbert spaces (RKHSs) by providing a linear-algebraic relation for the kernel mean embeddings of the respective joint and ...
Ilja Klebanov +2 more
openaire +3 more sources
Learning Weight Signed Network Embedding with Graph Neural Networks
Data Science and Engineering, 2023 Network embedding aims to map nodes in a network to low-dimensional vector representations. Graph neural networks (GNNs) have received much attention and have achieved state-of-the-art performance in learning node representation.
Zekun Lu +4 more
doaj +1 more source
Embedding cosmology and gravity
European Physical Journal C: Particles and Fields, 2021 I start with a scenario where the universe is an abstract space $${\mathcal {M}}$$ M having d dimensions. There is a two dimensional surface embedded in it.
Abhishek Goswami
doaj +1 more source
About the theory of tree embedding [PDF]
, 1993 We show that the positive existential fragment of the theory of tree embedding is decidable.
Alexandre Boudet, Hubert Comon
openaire +1 more source
On embedding of partially commutative metabelian groups to matrix groups [PDF]
International Journal of Group Theory, 2018 The Magnus embedding of a free metabelian group induces the embedding of partially commutative metabelian group $S_Gamma$ in a group of matrices $M_Gamma$. Properties and the universal theory of the group $M_Gamma$ are studied.
E. I. Timoshenko
doaj +1 more source
Mokslas: Lietuvos Ateitis, 2013 The paper investigates the procedure for introduction of systems containing delay elements. Shortcomings and difficulties in the synthesis of regulators and precompensators of control systems with delays in output and control channel where determined ...
Aliaksandr Lapeta
doaj +1 more source