Results 231 to 240 of about 30,811 (272)

Collision‐Resilient Winged Drones Enabled by Tensegrity Structures

Advanced Robotics Research, EarlyView.
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui, Raphael Zufferey, William Stewart, Mohammad Askari, Simon Jeger, Dario Floreano   +5 more
wiley   +1 more source

A local-to-global inequality for spectral invariants and an energy dichotomy for Floer trajectories. [PDF]

J Fixed Point Theory Appl
Buhovsky L, Tanny S.
europepmc   +1 more source

Formation Control of Multi‐Agent System with Local Interaction and Artificial Potential Field

Advanced Robotics Research, EarlyView.
This article proposes a local interaction‐based formation control method for Multi‐Agent system, integrating consensus and leader‐follower strategies with a stress response mechanism—artificial potential field to reduce communication overhead and enable obstacle avoidance. Experimental results on triangular, square, and hexagonal formations confirm its
Luoyin Zhao, Zheping Yan, Yuqing Wang, Raye Chen‐Hua Yeow   +3 more
wiley   +1 more source

Toward a Universal Czochralski Growth Model Leveraging Data‐Driven Techniques

Advanced Theory and Simulations, EarlyView.
This data‐driven study investigates Czochralski growth using Decision Trees, Symbolic Regression, ANN, and SHAP to assess the impact of 21 process and design parameters on crystal quality. Trained on 632 CFD simulation datasets across four crystalline materials, it demonstrates the feasibility of a universal Cz model applicable to various ...
Natasha Dropka, Milena Petkovic, Christiane Frank‐Rotsch, David Linke, Martin Holena   +4 more
wiley   +1 more source

Stability analysis of the incompressible porous media equation and the Stokes transport system via energy structure. [PDF]

Calc Var Partial Differ Equ
Park J.
europepmc   +1 more source

Phase‐Change Materials for Volatile Threshold Resistive Switching and Neuronal Device Applications

Advanced Science, EarlyView.
Volatile threshold switching materials are an important pathway to simulate neuronal behavior. This review summarizes recent advances in the development of volatile resistive switching devices and neuronal oscillators based on three representative phase change materials, emphasizes the major challenges in this rapidly evolving field, and provides an ...
Huandong Chen, Jayakanth Ravichandran
wiley   +1 more source

Algorithms for Solving Resolvent of the Sum of Two Maximal Monotone Operators with Finite Family of Nonexpansive Operators

Ali Berrailes, Abdallah Beddani
openalex   +2 more sources

Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes

Advanced Science, EarlyView.
Dynamic neural deactivation bridges traditionally distinct inhibitory mechanisms—direct inhibition and competition‐induced inhibition—revealing a common neural signature across modalities. Multimodal neuroimaging and behavioral experiments demonstrate a temporal dynamic characterized by progressive frontoparietal activation decay and enhanced sensory ...
Zhenhong He, Yifan Du, Ziqi Fu, Youcun Zheng, Nils Muhlert, Barbara Sahakian, Rebecca Elliott   +6 more
wiley   +1 more source

Inverse Co‐Design of Mechanical And Sensory Properties in Soft Lattice Foams for Multifunctional Wearables

Advanced Science, EarlyView.
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, Benhui Dai, Harshal Sonar, Josie Hughes   +3 more
wiley   +1 more source

On a novel gradient flow structure for the aggregation equation. [PDF]

Calc Var Partial Differ Equ
Esposito A, Gvalani RS, Schlichting A, Schmidtchen M.   +3 more
europepmc   +1 more source