Results 71 to 80 of about 1,993,058 (236)
EcoMatSolar‐driven photodegradation for water treatment faces challenges such as low energy conversion rates, high maintenance costs, and over‐sensitivity to the environment. In this study, we develop reusable concave microlens arrays (MLAs) for more efficient
Qiuyun Lu +5 more
doaj +1 more source
Hybrid Numerical Investigation on Soil-Hammer Interaction during Dynamic Compaction
Advances in Civil Engineering, 2019 To investigate the mechanism of hammer-soil interaction under the action of dynamic compaction (DC) on a coarse-grained soil foundation, based on the theory of projectile penetration, the continuous-discrete coupling method is used to simulate the hammer-
Jian Wang, Yinghui Cui, Qimin Li
doaj +1 more source
Computing Normalized Equilibria in Convex-Concave Games [PDF]
. This paper considers a fairly large class of noncooperative games in which strategies are jointly constrained. When what is called the Ky Fan or Nikaidô-Isoda function is convex-concave, selected Nash equilibria correspond to diagonal saddle points of ...
Flåm, Sjur Didrik, Ruszczynski, A.
core
Advanced Science, EarlyView.Inspired by the insect campaniform sensillum, a heterogeneous bilayer strain sensor is developed based on a unique impedance mismatch and three‐dimensional structural dynamic percolation strategy. The sensor enables real‐time multi‐joint teleoperation of three joints and the gripper using a six‐degree‐of‐freedom robotic‐arm platform.
Qi Wu +4 more
wiley +1 more source
logcondens: Computations Related to Univariate Log-Concave Density Estimation [PDF]
Maximum likelihood estimation of a log-concave density has attracted considerable attention over the last few years. Several algorithms have been proposed to estimate such a density. Two of those algorithms, an iterative convex minorant and an active set
Lutz Dümbgen, Kaspar Rufibach
core
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
LogConcDEAD: An R Package for Maximum Likelihood Estimation of a Multivariate Log-Concave Density [PDF]
In this article we introduce the R package LogConcDEAD (Log-concave density estimation in arbitrary dimensions). Its main function is to compute the nonparametric maximum likelihood estimator of a log-concave density.
Madeleine Cule +2 more
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Advanced Intelligent Systems, EarlyView.A digital twin framework is presented for modular soft continuum arms built from fiber‐reinforced pneumatic actuators. Cosserat rod models describe individual actuators, while virtual assemblies are formed through serial and parallel networks, preserving actuator‐level architecture and arm deformation.
Seung Hyun Kim +11 more
wiley +1 more source
Analysis of VH-CATT EHL Minimum Film Thickness in Meshing Process
Jixie chuandong, 2020 Based on the tooth surface equation of the Variable hyperbolic circular-arc-tooth-trace （VH-CATT）， the gear meshing principle is used to analyze the tooth surface contact during the meshing process， the positions distribution of the VH-CATT meshing point
Pei Luo +5 more
doaj
Advanced Intelligent Systems, EarlyView.Origami turns a single silicone chamber into three different soft fluidic actuators. Crease angles alone decide whether it elongates, bends, or twists, and the fully folded chambers are cast monolithically in one day. Below 15 kPa, they reach 268% axial stretch, 72° bending, and 55° twist—no strain‐limiting layers, no rigid reinforcements, no vacuum ...
Alexia Le Gall +4 more
wiley +1 more source