Dislocation cutting of γ′ precipitates in Ni‐based superalloys is investigated by linking atomistic simulations with discrete dislocation dynamics. The critical cutting stress is shown to be governed by the antiphase boundary energy, while line tension effects promote edge‐preferred cutting.
Frédéric Houllé +9 more
wiley +1 more source
Machine learning estimating paracetamol solubility in supercritical CO<sub>2</sub> by utilization of K-nearest neighbor regression and metaheuristic algorithms. [PDF]
Thajudeen KY +3 more
europepmc +1 more source
Segmentation of Organs and Tumor within Brain Magnetic Resonance Images Using K-Nearest Neighbor Classification. [PDF]
Yoganathan SA, Zhang R.
europepmc +1 more source
Grain boundary triple junctions are an essential ingredient of the microstructure of polycrystalline materials. In this study, a triple junction is observed using atomic‐resolution scanning transmission electron microscopy and characterized. Computer simulations reveal that the junction has a dislocation character that is determined by the joining ...
Tobias Brink +4 more
wiley +1 more source
Telescope indexing for k-nearest neighbor search algorithms over high dimensional data & large data sets. [PDF]
K R M +3 more
europepmc +1 more source
Updatable privacy-preserving K -nearest neighbor query in location-based s-ervice. [PDF]
Wu S +6 more
europepmc +1 more source
This work studies the anisotropic behavior of circular notched tensile specimens of Ni‐base superalloy single crystals during high‐temperature tensile creep along [001], [110], and [111]. Correlative scale‐bridging imaging of specimens reveals early rupture along [110] because 1) plastic deformation proceeds faster at notch center; 2) more (brittle ...
Leonardo Agudo Jácome +6 more
wiley +1 more source
Predicting and classifying type 2 diabetes using a transparent ensemble model combining random forest, k-nearest neighbor, and neural networks. [PDF]
Zaferani N, Afrash MR, Moulaei K.
europepmc +1 more source
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
Protocol for extracting and evaluating activity distributions in rat electrocorticograms with principal component analysis and k-nearest neighbor. [PDF]
Mellbin A, Rongala U, Bengtsson F.
europepmc +1 more source

