Results 81 to 90 of about 1,926,764 (285)
Stochastic Time Evolution, Information Geometry, and the Cramér-Rao Bound
We investigate the connection between the time evolution of averages of stochastic quantities and the Fisher information and its induced statistical length.
Sosuke Ito, Andreas Dechant
doaj +1 more source
Stochastic multi-symplectic Runge-Kutta methods for stochastic Hamiltonian PDEs [PDF]
In this paper, we consider stochastic Runge-Kutta methods for stochastic Hamiltonian partial differential equations and present some sufficient conditions for multisymplecticity of stochastic Runge-Kutta methods of stochastic Hamiltonian partial differential equations.
arxiv
The MaterialDigital initiative drives the digital transformation of material science by promoting findable, accessible, interoperable, and reusable principles and enhancing data interoperability. This article explores the role of scientific workflows, highlights challenges in their adoption, and introduces the Workflow Store as a key tool for sharing ...
Simon Bekemeier+37 more
wiley +1 more source
Modeling and Analysis of Cellular Networks Using Stochastic Geometry: A Tutorial [PDF]
This paper presents a tutorial on stochastic geometry (SG)-based analysis for cellular networks. This tutorial is distinguished by its depth with respect to wireless communication details and its focus on cellular networks.
Hesham Elsawy+3 more
semanticscholar +1 more source
Geometry-Based Channel Modelling for Vehicle-to-Vehicle Communication: A Review
Vehicle-to-Vehicle (V2V) communication has received a lot of attention over recent years since it can improve the efficiency and safety of roads for drivers and travellers besides other numerous applications.
Jalel Chebil+2 more
doaj +1 more source
This study explores geometry‐driven phase evolution in gyroid shell metamaterials made via laser powder bed fusion of 17‐4 precipitation hardened stainless steel. Locally hardened regions develop along the primary loading paths in the structure, which finite element analysis and geometric considerations link to enhanced gyroid strength.
Julia T. Pürstl+8 more
wiley +1 more source
Exploring Stochastic Mean Curvature Flow on Networks Using Ito Calculus [PDF]
In this paper, we investigate the stochastic mean curvature flow (SMCF) on networks, a niche area within stochastic processes and geometric analysis. By applying Ito calculus, we analyze the evolution of network structures influenced by random perturbations.
arxiv +1 more source
Discrete space-time geometry and skeleton conception of particle dynamics [PDF]
It is shown that properties of a discrete space-time geometry distinguish from properties of the Riemannian space-time geometry. The discrete geometry is a physical geometry, which is described completely by the world function. The discrete geometry is nonaxiomatizable and multivariant. The equivalence relation is intransitive in the discrete geometry.
arxiv +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Low‐Velocity Penetration Impact Behavior of Triply Periodic Minimal Surface Strut‐Based Lattices
Triply periodic minimal surface (TPMS)‐based lattices are gaining attention for their multifunctional properties in applications as aeronautics and automotive, which involve low‐velocity impact loading. This work evaluates the low‐velocity penetration impact behavior of five distinct TPMS architectures.
Lucía Doyle+2 more
wiley +1 more source