Research on dynamic stiffness match form of indirect fastener based on rail high-frequency wear characteristics. [PDF]
Wang X +5 more
europepmc +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Comfort evaluation and vibration reduction nursing of patients in interhospital transport. [PDF]
Yao M +5 more
europepmc +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Remote disassembly of electronics-free modular structures. [PDF]
Yang X +5 more
europepmc +1 more source
Probing Machine Learning Interatomic Potentials on Ion Transport Properties
We perform a systematic benchmark of six state‐of‐the‐art universal machine learning interatomic potentials on their ability to predict ion transport properties in lithium‐ and sodium‐based superionic conductors relevant to all‐solid‐state batteries.
Ogheneyoma Aghoghovbia +2 more
wiley +1 more source
Coupled Thermal and Nonlocal Effects in Advanced Composite Nanobeams: An Efficient Higher-Order Modeling Approach. [PDF]
Alghanmi RA, Houari MSA.
europepmc +1 more source
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
A finite element-based comparative dynamic biomechanical study of a novel oblique lateral locking plate system (OLLPS) versus traditional internal fixations for oblique lumbar interbody fusion (OLIF) under whole-body vibration. [PDF]
Wang Y +6 more
europepmc +1 more source
Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning
The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu +6 more
wiley +1 more source

