Results 91 to 100 of about 414 (153)
Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness
Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng+10 more
wiley +1 more source
Sampling a design space to target a class of possible desirable outcomes, creating an artificial intuition, can accelerate future optimizations to those targets. This is tested experimentally with parameterization to achieve various geometries of freestanding structures using direct ink write (DIW) 3D printing.
Erick J. Braham+4 more
wiley +1 more source
The article introduces WACEfNet, a new convolutional neural network architecture optimized for efficient aerial image analysis under resource constraints. It creatively integrates attention mechanisms and atrous convolutions into a compact widened residual network framework.
Md Meftahul Ferdaus+4 more
wiley +1 more source
Ðкупунктурен третман за цервикална Ñпондилоза
Кристина Козовска+2 more
openalex
Rapid and Reversible Morphing to Enable Multifunctionality in Robots
This article introduces a rapid, reversible, and repeatable morphing robot through a bistable latch‐mediated, spring actuated (LaMSA) mechanism. This enables an untethered, multifunctional robot to near‐instantaneously (< 50 ms) and reversibly switch between a flying and driving configuration to navigate through different environments.
Brittan T. Wilcox+2 more
wiley +1 more source
Multifunctional Position and Stiffness Control of Soft Fluidic Actuators Using Supercooled Liquid
This work explores the use of supercooled liquid as a multifunctional working fluid for soft actuators to allow independent control of position and stiffness; the solution is used to both inflate the elastomer chambers while in liquid state and to achieve a dramatic increase in stiffness (up to 13 times) with rapid, reversible crystallization.
Hoseung Seo, Michael T. Tolley
wiley +1 more source
Decreasing the Cost of Morphing in Adaptive Morphogenetic Robots
Shape‐morphing propulsive limbs enhance locomotion across land‐to‐water transitions, but prior designs rely on thermally responsive components, coupling performance to environmental temperature. This study introduces a pressure‐responsive mechanism that reduces morphing energy costs, enables rapid transitions, and minimizes failure modes.
Luis A. Ramirez+3 more
wiley +1 more source