Results 91 to 100 of about 547,687 (323)

Representing functional data in reproducing Kernel Hilbert Spaces with applications to clustering and classification [PDF]

Functional data are difficult to manage for many traditional statistical techniques given their very high (or intrinsically infinite) dimensionality. The reason is that functional data are essentially functions and most algorithms are designed to work ...
Alberto Muñoz, Javier González
core  

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Conductive Additives for Next‐Generation Batteries: Emphasizing the Potential of Bio‐Derived 3D Carbon Architectures at Electrode–Electrolyte Interfaces

Advanced Materials Interfaces, EarlyView.
3D conductive frameworks can maintain continuous electron transport, mechanical stability, and interfacial integrity, helping next‐generation batteries operate more efficiently. This Review examines their relevance to Si anodes, all‐solid‐state batteries, and dry‐processed electrodes, and highlights bio‐derived carbons as sustainable, structurally ...
SeoYoung Ha, Inseo Ko, Jongyoung Choi, Weon Ho Shin, Sung Cik Mun, Jong Ho Won   +5 more
wiley   +1 more source

A Hybrid Reproducing Kernel Particle Method for Three-Dimensional Helmholtz Equation

Mathematics
The reproducing kernel particle method (RKPM) is one of the most universal meshless methods. However, when solving three-dimensional (3D) problems, the computational efficiency is relatively low because of the complexity of the shape function.
Piaopiao Peng, Ning Wang, Yumin Cheng
doaj   +1 more source

Approximate Solutions to Three-Point Boundary Value Problems with Two-Space Integral Condition for Parabolic Equations

Abstract and Applied Analysis, 2012
We construct a novel reproducing kernel space and give the expression of reproducing kernel skillfully. Based on the orthogonal basis of the reproducing kernel space, an efficient algorithm is provided firstly to solve a three-point boundary value ...
Jing Niu, Yingzhen Lin, Minggen Cui
doaj   +1 more source

The Hermit-Type Reproducing Kernel Particle Method for Elasticity Problems

, 2018
To reduce the error on the boundary and improve computational accuracy, the normal derivative of radial basis function (RBF) is introduced into the reproducing kernel particle method (RKPM), and the Hermit-type reproducing kernel particle method (Hermit ...
Gaofeng Wei, Hongfen Gao, Jichao Ma
core   +1 more source

Buckling‐Driven Linearity in Flexible Capacitive Pressure Sensors Based on a Three‐Dimensional Dual‐Pore Polyurethane Structure

Advanced Materials Technologies, EarlyView.
A flexible pressure sensor utilizing a 3D dual‐pore polyurethane structure is developed to overcome the intrinsic trade‐off between sensitivity and linearity. By inducing sequential buckling through distinct pore sizes and shapes, the device achieves highly linear and sensitive responses across a wide pressure range.
Jae Yeong Jang, Jaemin Choi, Young Jung
wiley   +1 more source

Reproducing kernel method for the numerical solution of the 1D Swift-Hohenberg equation

Applied Mathematics and Computation, 2018
The Swift–Hohenberg equation is a nonlinear partial differential equation of fourth order that models the formation and evolution of patterns in a wide range of physical systems.
P. Bakhtiari, S. Abbasbandy, R. A. Gorder   +2 more
semanticscholar   +1 more source

Dealing with non-metric dissimilarities in fuzzy central clustering algorithms [PDF]

, 2008
Clustering is the problem of grouping objects on the basis of a similarity measure among them. Relational clustering methods can be employed when a feature-based representation of the objects is not available, and their description is given in terms of ...
Filippone, Maurizio, Filippone, M., Maurizio Filippone   +2 more
core   +1 more source

Exciton Radiative Lifetimes in Hexagonal Diamond Ge and SixGe1–x Alloys

Advanced Optical Materials, EarlyView.
Strong room‐temperature photoluminescence reported in hexagonal Ge conflicts with theory predicting a nearly dark band edge. First‐principles calculations of excitonic radiative lifetimes fill a key gap in this debate, showing that pristine hexagonal Ge remains intrinsically weakly emissive, while Si alloying only modestly shortens the lifetime and ...
Michele Re Fiorentin, Michele Amato, Maurizia Palummo   +2 more
wiley   +1 more source