Results 171 to 180 of about 1,252,085 (249)
Programmable Sequential 4D Actuation in Multistable Kirigami Metamaterials
This study presents a modular kirigami metamaterial framework enabling programmable multistability and sequential 4D actuation. By coupling geometry‐controlled multistability with material‐dependent recovery kinetics, spatiotemporal deformation can be precisely programmed.
Eui‐Hyun Kim +3 more
wiley +1 more source
A Physical Adaptive Material Motor Unit Neural Network: A Hygromorph Composite Material Machine
This study introduces a new class of material‐based intelligent machines. It presents a Physical Adaptive Material Motor Unit Neural Network, an assembly of smart 4D printed actuators and a controlling system that adapt through environmental interaction its shading behavior.
Charles de Kergariou +2 more
wiley +1 more source
Micro/Nanoscale Acoustic Manipulation: From Particle Control to Autonomous Microswimmers
This conceptual framework illustrates acoustic technology as a multifunctional platform enabling passive particle manipulation across scales and autonomous propulsion of microswimmers. ABSTRACT Acoustic manipulation and propulsion technologies have emerged as powerful platforms for micro/nanoscale control, enabled by their non‐contact operation, label ...
Jiahui Chu +4 more
wiley +1 more source
Reconfigurable self‐contact variable stiffness metamaterials based on shape memory polymers enable programmable stiffness switching. Static arrays store and encrypt information with immunity to electromagnetic interference, while asymmetric stiffness converts symmetric vibration into directional matter transport.
Huadong Qin +7 more
wiley +1 more source
Circadian‐Inspired Hydrogel Moisture Electricity Generation
A circadian‐inspired hydrogel moisture‐electric generator enables sustainable electricity generation by autonomously current direction switching between daytime and nighttime. This reversible output is accompanied by inversion of the internal water gradient, which effectively reduce hydrogel fatigue and offers a new strategy for harvesting diurnal ...
Ziqi Li +7 more
wiley +1 more source
Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi +3 more
wiley +1 more source
U.S. Agriculture, Biofuel Markets, and Trade: Challenges and Opportunities
ABSTRACT Using an enhanced Computable General Equilibrium (CGE) model (GTAP‐BIO), this study assesses how the expansion in demand for Electric Vehicles (EVs) and the reduction in exports of agricultural products induced by trade disputes negatively affect US agriculture.
Rayan Wolf, Farzad Taheripour
wiley +1 more source
ABSTRACT The USDA's Conservation Reserve Program (CRP) delivers environmental benefits to society by enrolling cropland and grasslands to reestablish or safeguard long‐term vegetative cover. In recent years, the CRP has dramatically increased grassland enrollment while cropland enrollment has been in steady decline. This paper uses descriptive analysis,
Wesley Zebrowski +2 more
wiley +1 more source
ABSTRACT Using survey and discrete choice experiment data, we examined US specialty crop growers' preferences for marketing contract attributes in the context of emerging blockchain‐based technologies and expanding traceability initiatives. Results show that farmers preferred traditional written contracts but might be willing to accept digital ...
Elizabeth Canales +3 more
wiley +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
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

