Results 111 to 120 of about 1,667 (298)
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
Inspired by the multi‐tissue architecture of the human fingertip dermis (A), this work introduces a mixture design using three PolyJet materials (AC/TM/GM) to expand the achievable elastomer property space (B). An inverse design pipeline (i‐Tac) is developed to map target optical/mechanical requirements to optimal material compositions (C), enabling ...
Wen Fan, Dandan Zhang
wiley +1 more source
Kiefer's Law of the iterated logarithm of the vector of upper order statistics [PDF]
Let {X-n} be a sequence of independent identically distributed random variables with a common continuous distribution function and let M-j,(n) denote the jth upper order statistic among X-1, X-2, ... , X-n, n >= j.
Moridani, A., Vasudeva, R.
core
Number theory, borderline dimension and extensive entropy in distributions of ranked data. [PDF]
Velarde C, Robledo A.
europepmc +1 more source
On the Law of the Iterated Logarithm [PDF]
An analogue of the law of the iterated logarithm for Brownian motion in Banach spaces is proved where the expression [radical sign]2 loglog s is replaced by a positive non-decreasing function satisfying certain conditions.Law of iterated logarithm ...
Wong, H. S. F.
openaire +1 more source
Diatom‐Inspired 1D Immobile Robots Capable of 2D Collective Mobility
This study presents a diatom‐inspired robotic system that explores group coordination through limited physical interactions. The researchers tune groups of Barbots, simple robotic agents that possess neither individual mobility nor explicit communication capabilities, to achieve complex and adaptive collaboration based on environmental light.
Tianyi Hu +4 more
wiley +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen +3 more
wiley +1 more source
Law of the iterated logarithm and local variations at zero of the sticky Brownian motion [PDF]
We obtain for the sticky Brownian motion local properties analogous to the law of the iterated logarithm for the standard Brownian motion.Sticky Brownian motion Law of the iterated logarithm Local variations at zero Brownian local ...
Knight, Frank B., Amir, Madjid
core
The law of iterated logarithm for solutions of stochastic differential equations [PDF]
Доведено закон повторного логарифму для розв'язків стохастичних рівнянь зі збуреними періодичними коефіцієнтами.We prove the law of iterated logarithm for solutions of stochastic differential equations with perturbed periodic ...
Махно, С.Я.
core

