Intracrystalline Void‐Mediated Toughening of Brittle Crystals in Quail Eggshells
Advanced Functional Materials, EarlyView.In quail eggshells, the high density and disordered arrangement of intracrystalline voids inhibit lattice cleavage, suppress long‐range crack propagation, and promote deformation twinning and quasi‐plasticity, serving as an essential toughening motif. We show that these voids remain within a narrow subcritical size range and therefore predominantly do ...
Jingxiao Zhong +16 more
wiley +1 more source
Impact of Financial Development on Income Gap Based on Improved Gaussian Kernel Function and BGP Anomaly Detection. [PDF]
Comput Intell Neurosci, 2022 Yao Y, Huang Y.
europepmc +1 more source
Kernel-based clustering via Isolation Distributional Kernel
, 2023 Clustering has become one of the widely used automatic data-labeling techniques applied in a variety of disciplines. Kernel-based clustering is a technique designed to identify non-linearly separable clusters with irregular shapes.
Ye Zhu (13101348), KM Ting (13907250)
core
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Geographically weighted generalized poisson regression model with the best kernel function in the case of the number of postpartum maternal mortality in east java. [PDF]
MethodsX, 2023 Tyas SW, Gunardi, Puspitasari LA.
europepmc +1 more source
Stability and covergence properties of Bergman Kernel methods for numerical conformal mapping [PDF]
, 1984 In this paper we study the stability and convergence properties of Bergman kernel methods, for the numerical conform al mapping of simply and doubly- connected domains.
Warby, M K, Papamichael, N
core +2 more sources
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Prediction of Rockfill Materials' Shear Strength Using Various Kernel Function-Based Regression Models-A Comparative Perspective. [PDF]
Materials (Basel), 2022 Ahmad M +5 more
europepmc +1 more source
On the Existence of Kernel Function for Kernel-Trick of k-Means [PDF]
, 2017 This paper corrects the proof of the Theorem 2 from the Gower’s paper [1, p. 5]. The correction is needed in order to establish the existence of the kernel function used commonly in the kernel trick e.g. for k-means clustering algorithm, on the grounds of distance matrix.
openaire +2 more sources
portfolio optimization based on nonparametric estimation methods [PDF]
مدیریت تولید و عملیات, 2017 One of the major issues investors are facing with in capital markets is decision making about select an appropriate stock exchange for investing and selecting an optimal portfolio. This process is done through the risk and expected return assessment.
mahsa ghandehari +2 more
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