Results 21 to 30 of about 122 (118)

Non-metric geometry as the origin of mass in gauge theories of scale invariance

open access: yesEuropean Physical Journal C: Particles and Fields, 2023
We discuss gauge theories of scale invariance beyond the Standard Model (SM) and Einstein gravity. A consequence of gauging this symmetry is that their underlying 4D geometry is non-metric ( $$\nabla _\mu g_{\alpha \beta }\!\not =\!0$$ ∇ μ g α β ≠ 0 ...
D. M. Ghilencea
doaj   +1 more source

Discrete-Time Differential Dynamic Programming on SO(3) With Pose Constraints

open access: yesIEEE Access, 2022
The motion of many robotics systems, such as the rotation of unmanned aerial vehicles, can be modeled by SO(3). However, the difficulties in the parameterization of the SO(3) makes it hard to implement the state-of-the-art collision avoidance algorithm ...
Shu Liu, Dongpo Liu
doaj   +1 more source

Non-local geometry inside Lifshitz horizon

open access: yesJournal of High Energy Physics, 2017
Based on the quantum renormalization group, we derive the bulk geometry that emerges in the holographic dual of the fermionic U(N ) vector model at a nonzero charge density. The obstruction that prohibits the metallic state from being smoothly deformable
Qi Hu, Sung-Sik Lee
doaj   +1 more source

Geometric Reinforcement Learning for Robotic Manipulation

open access: yesIEEE Access, 2023
Reinforcement learning (RL) is a popular technique that allows an agent to learn by trial and error while interacting with a dynamic environment.
Naseem Alhousani   +5 more
doaj   +1 more source

Geometry of conformal manifolds and the inversion formula

open access: yesJournal of High Energy Physics, 2023
Families of conformal field theories are naturally endowed with a Riemannian geometry which is locally encoded by correlation functions of exactly marginal operators.
Bruno Balthazar, Clay Córdova
doaj   +1 more source

Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings

open access: yesAdvanced Intelligent Systems
This study investigates the application of Riemannian geometry‐based methods for brain decoding using invasive electrophysiological recordings. While Riemannian geometry has been successfully applied in noninvasive settings, its utility for invasive ...
Arnau Marin‐Llobet   +9 more
doaj   +1 more source

Conduction in the Heart Wall: Helicoidal Fibers Minimize Diffusion Bias

open access: yesScientific Reports, 2018
The mammalian heart must function as an efficient pump while simultaneously conducting electrical signals to drive the contraction process. In the ventricles, electrical activation begins at the insertion points of the Purkinje network in the endocardium.
Tristan Aumentado-Armstrong   +4 more
doaj   +1 more source

Generative Models in Inorganic Crystals Discovery and Inverse Design

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li   +5 more
wiley   +1 more source

Visibility and Intersection Density for Boolean Models in Hyperbolic Space

open access: yesMathematische Nachrichten, EarlyView.
ABSTRACT For Poisson particle processes in hyperbolic space we introduce and study concepts analogous to the intersection density and the mean visible volume, which were originally considered in the analysis of Boolean models in Euclidean space. In particular, we determine a necessary and sufficient condition for the finiteness of the mean visible ...
Tillmann Bühler   +2 more
wiley   +1 more source

Hearing the Serre Invariant of a Compact p‐Adic Analytic Manifold

open access: yesMathematische Nachrichten, EarlyView.
ABSTRACT Using a previous novel way of defining kernel functions for Laplacian integral operators on a compact p$p$‐adic analytic manifold X$X$, one such operator Δ0s$\Delta _0^s$ with s∈R$s\in \mathbb {R}$ is applied to hearing the Serre invariant i(X)$i(X)$ by showing that a wavelet eigenvalue (with the wavelet having small support) is always ...
Patrick Erik Bradley   +1 more
wiley   +1 more source

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