Electrified Damage in Motion Systems
The electrified damage in motion systems is a fundamental framework presenting the degradation pathway arising from the coupling of electrical energy transport with mechanical contact and interfacial chemistry. The framework positions electrified damage as a distinct degradation regime with unique characteristic surface morphologies and failures of ...
M. Humaun Kabir +2 more
wiley +1 more source
Retraction: Spatial-temporal differences and convergence analysis of residential building carbon emission efficiency in China. [PDF]
PLOS One Editors.
europepmc +1 more source
Higher-dimensional physical models with multimemory indices: analytic solution and convergence analysis. [PDF]
Jaradat I +4 more
europepmc +1 more source
Revisiting cross-province energy intensity convergence in China: A spatial panel analysis [PDF]
Lei Jiang +3 more
openalex +1 more source
Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids
This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow +9 more
wiley +1 more source
Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis. [PDF]
Lakbichi R +7 more
europepmc +1 more source
Intra-European Union trade openness and new members' output convergence: a time-series analysis [PDF]
Andrea Ingianni
openalex
Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems [PDF]
Mingyi Hong +2 more
openalex +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Convergence analysis and application for high-order neural networks based on gradient descent learning algorithm via smooth regularization. [PDF]
Mohamed KS +3 more
europepmc +1 more source

