Results 111 to 120 of about 92,985 (260)
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn +2 more
wiley +1 more source
Multicast time-expanded graph-based collective communication scheduling algorithm
Collective communication latency has become a major performance bottleneck in large-scale distributed training. To address the limitations of existing algorithms in terms of insufficient topology awareness and high computational complexity, a topology ...
Liu Fei +4 more
doaj
Novel Artificial Neural Network Aided Structural Topology Optimization
In this paper, novel artificial neural networks are adopted for the topology optimization of full structures at both coarse and fine scales. The novelty of the surrogate-based method is to use neural networks to optimize the relationship from boundary ...
Xiangrui Kong +4 more
doaj +1 more source
A strain‐activated mechanical metamaterial is developed to achieve programmable dual‐phase stiffness through an intrinsic geometric locking mechanism. Finite element modeling and parametric analysis identify the key design parameters governing activation strain, stiffness transition, and energy absorption.
Ramin Yousefi‐Nooraie +3 more
wiley +1 more source
The integrated topology optimization design with respect to the structural topology configuration,the placements and the numbers of actuators as well as the control system weight parameters of a cantilever piezoelectric intelligent plate is studied in ...
HE JianJun, CHEN XiangZi
doaj
Diversity‐Based Topology Optimization of Soft Robotic Grippers
Soft grippers are ideal for grasping delicate, deformable objects with complex geometries. Universal soft grippers have proven effective for grasping common objects, however complex objects or environments require bespoke gripper designs.
Josh Pinskier +6 more
doaj +1 more source
On‐Chip Photonic Neural Network Architectures
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
Multicast time-expanded graph-based collective communication scheduling scheme
Collective communication latency has become a major performance bottleneck in large-scale distributed training.. To address the limitations of existing methods in terms of insufficient topology awareness and high computational complexity, a topology ...
Liu Fei +4 more
doaj
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
wiley +1 more source

