Results 181 to 190 of about 46,919 (265)

Toward Mechanical Intelligence in Robotics

open access: yesAdvanced Robotics Research, EarlyView.
Robots can use their physical bodies to perform functions usually assigned to electronic sensors and controllers. This perspective defines mechanical intelligence through three core operations: filtering inputs, routing mechanical signals, and switching between states.
Xinyi Yang   +5 more
wiley   +1 more source

Consensus Formation and Change are Enhanced by Neutrality

open access: yesAdvanced Science, EarlyView.
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag   +3 more
wiley   +1 more source

Topology Geometry Geometric Topology

open access: yes
This paper explores the application of geometric topology as a framework for analyzing the inherent properties and potential optimization strategies of topological structures. The core claim centers on the design of a geometric topology-based analysis method capable of elucidating the underlying rules and optimizing potential configurations within ...
openaire   +1 more source

Wavy‐Interlocked Stretchable Triboelectric Nanogenerators Enhanced by Liquid Metal Microflowers for Self‐Powered Wearable Motion Monitoring

open access: yesAdvanced Science, EarlyView.
Schematic showing a stretchable triboelectric nanogenerator based on interlocked wavy architectures that uses EGaIn microflower‐embedded PVDF‐TrFE and Nylon‐6 nanofiber membranes. The multi‐petaled, electron‐rich EGaIn microflowers enhance interfacial polarization and capacitance, while the interlocked wavy architecture enlarges the effective contact ...
Qianqian Xu   +12 more
wiley   +1 more source

Topology Geometry Adaptive Topology

open access: yes
This paper introduces a novel approach to topology optimization based on adaptive learning. Traditional methods often rely on static, predefined topology models, limiting their ability to adapt to complex and dynamic input data. We propose a system utilizing an adaptive learning algorithm to dynamically adjust the topology structure during optimization,
openaire   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

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