Results 151 to 160 of about 25,499,806 (331)
In this paper, a cross-scale dynamic uncertainty topology optimization model considering minimum length scale control is proposed. The problem of optimizing the topology layout of the cross-scale structure considering steady-state dynamic performance and
Liu, Yaru, Wang, Lei, Zhao, Xingyu
core +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
3D Printing of Continuous-Fiber-Reinforced Composites: Advances in Multifunctional Integration and Intelligent Manufacturing. [PDF]
Han S +5 more
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
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Research on assessment and adaptive correction technology of power system protection fixed value mismatch. [PDF]
Luo Z, Li C, Yang R, Zhao S, Shen Y.
europepmc +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
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Multi-Objective Optimization of Flow Channels for Uniform and Non-Uniform Heat Sources. [PDF]
Xia H +8 more
europepmc +1 more source

