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Current Status of Research on Fault Diagnosis Using Machine Learning for Gear Transmission Systems
MachinesGear transmission system fault diagnosis is crucial for the reliability and safety of industrial machinery. The combination of mathematical signal processing methods with deep learning technology has become a research hotspot in fault diagnosis. Firstly,
Xuezhong Fu +5 more
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Advanced Functional Materials, EarlyView.Guided by the golden ratio, a class of aperiodic architected metamaterials is introduced to address the intrinsic trade‐off between strength and toughness. By unifying local geometric heterogeneity with global order, the golden‐ratio‐guided aperiodic architecture promotes spatial delocalization of damage tolerence regions, leading to more tortuous ...
Junjie Deng +9 more
wiley +1 more source
PV Cell Temperature Prediction Under Various Atmospheric Conditions
EnergiesThe present study analyses various mathematical models from the technical literature for calculating photovoltaic cell temperature, emphasizing wind velocity as a key parameter. Since cell temperature significantly affects photovoltaic module efficiency,
Iuliana Şoriga +3 more
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In Situ Study of Resistive Switching in a Nitride‐Based Memristive Device
Advanced Functional Materials, EarlyView.In situ TEM biasing experiment demonstrates the volatile I‐V characteristic of MIM lamella device. In situ STEM‐EELS Ti L2/L3 ratio maps provide direct evidence of the oxygen vacancies migrations under positive/negative electrical bias, which is critical for revealing the RS mechanism for the MIM lamella device.
Di Zhang +19 more
wiley +1 more source
Advanced Functional Materials, EarlyView.The fundamental intricate couplings between electrolyte wetting and fracture evolution are investigated in large single‐crystal V2O5 samples using both experimental techniques and simulations. Both approaches reveal consistent fracture patterns and lithium distribution concentration maps influenced by the wetting mechanism.
Wan‐Xin Chen +6 more
wiley +1 more source
Charge‐Induced Morphing Gels for Bioinspired Actuation
Advanced Functional Materials, EarlyView.This study introduces a novel electroactive actuation mechanism that enables the gel material to generate substantial and reversible shape‐changing while preserving topological and isochoric (volumetric) equivalence. The resultant morphing behaviors can mimic the movements of muscle‐driven organelles in nature, including cilia‐like beating and ...
Ciqun Xu +4 more
wiley +1 more source
Microsphere Autolithography—A Scalable Approach for Arbitrary Patterning of Dielectric Spheres
Advanced Functional Materials, EarlyView.MicroSphere Autolithography (µSAL) enables scalable fabrication of patchy particles with customizable surface motifs. Focusing light through dielectric microspheres creates well defined, tunable patches via a conformal poly(dopamine) photoresist. Nearly arbitrary surface patterns can be achieved, with the resolution set by the index contrast between ...
Elliott D. Kunkel +3 more
wiley +1 more source
Does mathematics domain cause the heterogeneity of students’ mathematical critical thinking skills through problem-based learning? A meta-analysis [PDF]
, 2022 Dadang Juandi +4 more
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