Results 51 to 60 of about 2,673 (253)
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu +5 more
wiley +1 more source
DYNAMIC RESPONSE OF THE LAYERING ORDER OF 2024 ALUMINUM ALLOY THIN PLATES AGAINST THE BIRD STRIKE
In the aerospace sector,foreign object damage( FOD) is a serious threat to the normal operation of aircraft and aviation security and bird strike damage is the most common.
YUAN JiaJun
doaj
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Role of Near-Miss Bird Strikes in Assessing Hazards
Management of problem wildlife within the airfield environment is a difficult job. Today’s Bird–Animal Aircraft Strike Hazard (BASH) program managers require as much information as possible to accomplish their tasks.
Matt W. Klope +3 more
doaj +1 more source
Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao +3 more
wiley +1 more source
Exploring the Impact of Meat Alternative Labeling Regulations on the U.S. Meat Consumption Patterns
ABSTRACT The global demand for conventional meat continues to rise, but it is also associated with substantial environmental and health challenges. In response, meat alternatives have gained popularity, sparking debates over meat alternative labeling regulations. This study investigates the effects of meat alternative labeling regulations in the United
Jeong Hun Ji, Sang Hyeon Lee
wiley +1 more source
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad +4 more
wiley +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Numerical simulation study of bird strike on windshield glass based on SPH-DEM coupling
Glass-type brittle materials are widely used in aircraft windshield structures, which are located at the front of the aircraft's windward side, and susceptible to fragmentation because of bird strikes.
LIU Zongxing +4 more
doaj +1 more source

