Optical anisotropy enables skyrmions for robust information encoding. [PDF]
Zhan Z, Liu Q, Fu X.
europepmc +1 more source
Toward Mechanical Intelligence in Robotics
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
Topology-Aware Lane Detection with Relational Reasoning and Consistency Constraints. [PDF]
Dong D +6 more
europepmc +1 more source
Consensus Formation and Change are Enhanced by Neutrality
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
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
Integrating Molecular Semantics and Three-Dimensional Geometry for Critical Property Prediction: A Multimodal GNN-BERT Framework. [PDF]
Wang B, Lv Z, Ning N, Zhang Y, Zhang J.
europepmc +1 more source
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
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
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
Electrode-Geometry Control of Normal Electric-Field Distributions and Electrostatic Loading on Sessile-Droplet Interfaces: A Finite-Difference Study with a Finite-Element Cross-Check and Surrogate-Assisted Design Exploration. [PDF]
Obaid FS, Khan MA.
europepmc +1 more source

