Results 201 to 210 of about 172,799 (305)

Fault Diagnosis of Rotating Machinery Using Supervised Machine Learning Algorithms with Integrated Data-Driven and Physics-Informed Feature Sets. [PDF]

open access: yesSensors (Basel)
Ignjatovska AA   +6 more
europepmc   +1 more source

Grain Boundary‐Driven Lattice Dynamics in a Solid‐State Li‐Ion Conductor

open access: yesAdvanced Science, EarlyView.
Grain boundaries in Li3OCl${\rm Li}_3{\rm OCl}$ are shown to significantly alter its lattice dynamics and induce Li‐ion vibrational hardening and anion softening. These changes hinder ion transport while promoting electronic conductivity and instability.
Jack M. Hemingway   +3 more
wiley   +1 more source

Precipitation‐Modulated Harmonic Architectures Enable Superior Strength–Ductility Synergy from Cryogenic to Elevated Temperatures in Nanostructured Alloys

open access: yesAdvanced Science, EarlyView.
Precipitation‐modulated recrystallization enables a programmable bimodal harmonic architecture in a high‐entropy alloy, delivering 1–2 GPa yield strength with >10% ductility from −196 °C to 700 °C. The resulting broad‐temperature robustness arises from the synergy of dual‐mode nanoprecipitation, harmonic core–shell topology, and temperature‐adaptive ...
Wei Li   +5 more
wiley   +1 more source

Contactless Inductive Sensors Using Glass-Coated Microwires. [PDF]

open access: yesSensors (Basel)
Panina LV   +5 more
europepmc   +1 more source

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

open access: yesAdvanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu   +7 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

Experimental realization of logical elastic bits as qubit analogues in a nonlinear oscillator. [PDF]

open access: yesSci Rep
Mahmood KT   +5 more
europepmc   +1 more source

Orthogonal Design of Competing Deprotonation Process in Cation‐Mediated Ni(OH)2 for Achieving Industrial Level Biomass Electrooxidation

open access: yesAdvanced Science, EarlyView.
A Cu‐mediated Ni(OH)2 catalyst with orthogonal activity by precise valence engineering simultaneously accelerates rate‐determining aldehyde C─H activation in HMF oxidation and impedes O─H deprotonation in competing OER. This multi‐functional synergistic catalysis enables FDCA production at industrial‐level current densities without sacrificing FEFDCA ...
Junge Yang   +7 more
wiley   +1 more source

Differential geometry-based harmonic analysis of three-phase systems. [PDF]

open access: yesSci Rep
Sundriyal N   +4 more
europepmc   +1 more source

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