Results 221 to 230 of about 8,068,929 (298)
Multi-Granular Embedding and Hybrid Encoder-Decoder Architecture with Temporal Linear Regression Bypass for Sensor-Based Time Series Forecasting in Smart Infrastructure. [PDF]
Cheng HY, Lin HH, Jiang CL, Yu CC.
europepmc +1 more source
HEA interlayers offer a versatile route for joining high‐performance structural materials. Their compositional and structural design regulates interfacial reactions, suppresses brittle IMCs, and improves metallurgical bonding. Sandwich interlayers further integrate defect healing with precipitation strengthening, enabling improved strength–ductility ...
Lin Yuan +4 more
wiley +1 more source
Transfer learning based CEEMDAN-VMD secondary decomposition and multi-scale modeling for short-term electricity market price trend forecasting. [PDF]
Zhang Y, Song X, Li C, Zhang Z, Zhang J.
europepmc +1 more source
This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley +1 more source
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe +6 more
wiley +1 more source
Power load forecasting combining deep learning models and improved CLPO algorithm. [PDF]
Song J +5 more
europepmc +1 more source
Elastic–Plastic Modeling and Experimental Characterization of Granular Jamming Actuators
Granular jamming enables rapid switching between soft and rigid mechanical states. Here, a reduced‐order elastic‐perfectly‐plastic beam framework captures pressure‐dependent loading, unloading, residual deformation, and hysteresis in jammed beams, while matching three‐point bending experiments across materials and geometries. The framework links design
Saheli Patel +2 more
wiley +1 more source
Research on optimization of power grid load forecasting models based on deep learning. [PDF]
Hu J +5 more
europepmc +1 more source
Additive manufacturing introduces pronounced microstructural and crystallographic anisotropy in Ni‐based superalloys, resulting in orientation‐dependent creep deformation and damage. This review identifies the key microstructural origins of creep anisotropy, examines their influence on dominant deformation mechanisms, and highlights processing ...
Chandan Kumar +3 more
wiley +1 more source
A model predictive control-based energy management strategy for grid-connected nanogrids. [PDF]
Selmy M +4 more
europepmc +1 more source

