Results 161 to 170 of about 12,577,393 (401)
A Remark on the Inequalities of Bernstein - Markov Type in Exponential Orlicz and Lorentz Spaces [PDF]
We prove in this article the generalizations on the exponential Orlicz spaces Markov's - Bernstein's inequalities for algebraic polynomials and rational functions.
arxiv
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
Three-Dimensional Dead-Reckoning Based on Lie Theory for Overcoming Approximation Errors
This paper proposes a dead-reckoning (DR) method for vehicles using Lie theory. This approach treats the pose (position and attitude) and velocity of the vehicle as elements of the Lie group SE2(3) and follows the computations based on Lie theory ...
Da Bin Jeong, Boeun Lee, Nak Yong Ko
doaj +1 more source
M. Riesz-Schur-type inequalities for entire functions of exponential type [PDF]
We prove a general M. Riesz-Schur-type inequality for entire functions of exponential type.
arxiv
This study examines the mechanical properties of triply periodic minimal surfaces (TPMS)‐based lattices, analyzing 36 architectures in elastic and plastic regimes. It evaluates the applicability of beam‐based scaling laws to TPMS lattices. Rigidity arises from the alignment of members with the load direction and solid regions preventing rotation.
Lucía Doyle+2 more
wiley +1 more source
Integration in terms of exponential integrals and incomplete gamma functions I [PDF]
This paper provides a Liouville principle for integration in terms of exponential integrals and incomplete gamma functions.
arxiv
This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
wiley +1 more source
Exponential Convergence of the Deep Neural Network Approximation for Analytic Functions [PDF]
We prove that for analytic functions in low dimension, the convergence rate of the deep neural network approximation is exponential.
arxiv
This study models static recrystallization in interstitial free‐steel using coupled crystal plasticity and phase‐field simulations. The method directly links heterogeneous dislocation density to nucleation site prediction, eliminating reliance on empirical assumptions.
Alireza Rezvani+2 more
wiley +1 more source