Results 161 to 170 of about 839,857 (379)
An inverse co‐design framework integrates neural networks and physics‐based models to engineer soft lattice foams with independently tunable mechanical and sensory properties. By layering architected foams and optimizing electrode placement, this method enables multifunctional wearable sensors.
Qinghua Guan +3 more
wiley +1 more source
An analysis of literature trends and a historical overview of organic and inorganic piezoelectric materials, focusing on their structural diversity, functional mechanisms, and inherent characteristics. It then explores cutting‐edge developments in material synthesis, fabrication processes, and performance optimization, highlighting their applicability ...
Bangul Khan +7 more
wiley +1 more source
Coupling of FEM meshes with Peridynamic grids
M. Zaccariotto +4 more
semanticscholar +1 more source
A programmable 3D Neuron‐Injury‐on‐a‐Chip platform integrates multiaxial mechanical loading with ultrasensitive electrochemical biosensing to decode neuronal responses in real time. By mimicking physiologically relevant extension–torsion forces, the system reveals load‐specific biomarker trajectories (T‐Tau, NFL), gene regulation, and apoptosis.
Sultan Khetani +12 more
wiley +1 more source
Material‐Gradient Enabled Enhancement of Strength and Strain‐Hardening of Lattice Structures
This study employs material gradients in lattice structures via alloy‐controlled additive manufacturing, decoupling mechanical behavior from geometry. Gradients guide stable plastic fronts, enhancing plateau stress and energy absorption by up to 25.4%.
Junhao Ding +5 more
wiley +1 more source
Stable Isotope Ratios of Herbs and Spices Commonly Used as Herbal Infusions in the Italian Market
Purna K. Khatri +6 more
doaj +1 more source
Pre‐Torsion Tubular Metamaterials: Multi‐Effect Integration for Advanced Functional Applications
Through a pre‐torsion design paradigm, the authors design and fabricate a class of multi‐effect mechanical metamaterial that synergistically integrates compression‐torsion and auxetic behaviors over an extensive strain range, and their formation mechanisms are quantitatively analyzed and elucidated via experiments and finite element methods.
Xuegang Zhang +11 more
wiley +1 more source
Highly Efficient Discovery of 3D Mechanical Metamaterials via Monte Carlo Tree Search
Machine learning (ML), as a data‐driven method, has revolutionized metamaterial design, surpassing traditional intuition‐driven trial‐and‐error methods in both efficiency and performance. Here, MCTS‐AL, an active learning framework integrating finite element simulation (FEM), convolutional neural networks (CNNs), and Monte Carlo Tree Search (MCTS ...
Jiamu Liu +4 more
wiley +1 more source
The laser‐assisted method allows the direct synthesis of hemispherical MoS2 (h‐MoS2). Through curvature‐induced electric‐field amplification, the h‐MoS2‐based noncontact TENG exhibited a 37‐fold increase in voltage output and operated stably at distances of up to 10 mm.
Chan‐Jin Kim +18 more
wiley +1 more source

