Results 211 to 220 of about 839,857 (379)
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Analysis of Key Factors Affecting the Sensitivity of Dual-Backplate Capacitive MEMS Microphones. [PDF]
Sun C, Liu H, Kang L, Liu B.
europepmc +1 more source
Combined analytical FEM approach for efficient simulation of Lamb wave damage detection.
Yanfeng Shen, V. Giurgiutiu
semanticscholar +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Simulation of tillage forces and soil movement during soil-disc plow interaction using FEM. [PDF]
Ibrahmi A, Bentaher H.
europepmc +1 more source
FEM modeling of crack nucleation and crack propagation fretting fatigue maps: Plasticity effect
Camille Gandiolle, S. Fouvry
openalex +2 more sources
Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors
Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun +6 more
wiley +1 more source
Predicting the Effects of Customized Corneal Cross-Linking on Corneal Geometry. [PDF]
Frigelli M +7 more
europepmc +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source

