Results 41 to 50 of about 12,488,537 (258)

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

Advanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose, Sanxchep Sharma, Veit Königer, Vincent Nebel, Jonas Oehm, Christian Weisenberger, Laura Bies, Volker Knoblauch   +7 more
wiley   +1 more source

Locally linear approximation for Kernel methods : the Railway Kernel [PDF]

, 2008
In this paper we present a new kernel, the Railway Kernel, that works properly for general (nonlinear) classification problems, with the interesting property that acts locally as a linear kernel.
González, Javier, Muñoz, Alberto
core   +1 more source

Interpolating reproducing kernel particle method for elastic mechanics

Acta Physica Sinica, 2012
The displacement trial function is reconstructed by reproducing kernel particle shape function method with interpolation property on discrete points, then combining the principle of minimum potential energy of elasticity, the new interpolating reproducing kernel particle method to analyze the plane problem of elasticity is obtained.
null Li Zhong-Hua, null Qin Yi-Xiao, null Cui Xiao-Chao   +2 more
openaire   +1 more source

On Adaptive Refinement Analysis for the Coupled Boundary Element Method—Reproducing Kernel Particle Method [PDF]

International Journal for Computational Methods in Engineering Science and Mechanics, 2007
An adaptive refinement procedure for the coupled boundary element-reproducing kernel particle method (coupled BE-RKPM) is suggested. The procedure is developed by combining a h-adaptive BEM refinement scheme based on the residual approach and an adaptive RKPM refinement scheme based on an extraction type a posteriori error estimator.
Lee, Chi King, Shuai, Y. Y.
openaire   +3 more sources

Application of Reproducing Kernel Particle Method to Large Deformation Contact Analysis of Elastomers

, 1998
A meshless formulation based on the Reproducing Kernel Particle Method (RKPM) is applied to the large deformation and contact analysis of elastomeric components.
Chunhui Pan, Jiun-Shyan Chen, Cheng-Tang Wu   +2 more
core   +1 more source

Quantifying Subsurface Weak in‐Plane Magnetization of Mixed Phase BiFeO3 by Scanning Nitrogen Vacancy Magnetometry

Advanced Functional Materials, EarlyView.
We use scanning nitrogen vacancy magnetometry to directly image the weak in‐plane magnetic moments in mixed phase BiFeO3 at the nanoscale and quantify the local magnetic moments to be 18.8±2.0 μB/nm2 in the rhombohedral‐like phase and 1.5±0.6 μB/nm2 in the well‐known non‐magnetic tetragonal‐like phase.
Lei Wang, Zhewen Xu, Yuwen Xu, Björn Josteinsson, Simon Josephy, Dawei Zhang, Yunlong Sun, Heung‐Sik Park, Jihun Kim, Kanghyun Chu, Kyung Song, Danyang Wang, Chan‐Ho Yang, Andrea Morales, Jan Seidel   +14 more
wiley   +1 more source

A Semi‐Resolved VOF‐DEM Coupling Method for Bedload Transport of Non‐Spherical Particles

Water Resources Research
Bedload transport of coarse sediments involves complex particle‐flow interactions that govern sediment motion and bed surface evolution. In this study, a semi‐resolved CFD‐DEM method is developed to simulate bedload sediment dynamics, in which the ...
Rangang Zhang, Shengfa Yang, Tangzhi Liu, Jiang Hu, Wenjie Li, Peng Zhang   +5 more
doaj   +1 more source

Autonomous Multi‐Objective Nanoscale Characterization of Combinatorial (Al, Sc, B)N Films Reveals Composition‐Dependent Ferroelectric Regimes

Advanced Functional Materials, EarlyView.
Autonomous scanning probe microscopy and multi‐objective Bayesian optimization navigate a ternary (Al,Sc,B)N combinatorial library. Registered photoluminescence, electron‐probe compositional mapping, and X‐ray diffraction connect local electromechanical function to defect‐sensitive emission, composition, and crystal structure.
Yu Liu, Aditya Raghavan, Utkarsh Pratiush, Ian Mercer, Pochun Hsieh, Albert Suceava, Chih‐Yu Lee, Edgar Dimitrov, Mauricio Terrones, Ichiro Takeuchi, Venkatraman Gopalan, Jon‐Paul Maria, Sergei V. Kalinin   +12 more
wiley   +1 more source

Reproducing Kernel Particle Method for Radiative Heat Transfer in 1D Participating Media [PDF]

Mathematical Problems in Engineering, 2015
The reproducing kernel particle method (RKPM), which is a Lagrangian meshless method, is employed for the calculation of radiative heat transfer in participating media. In the present method, for each discrete particle (i.e., spatial node) within a local support domain, the approximate formulas of the radiative intensity and its derivatives are ...
Mu, Lei, He, Zhi-hong, Dong, Shi-kui
openaire   +2 more sources

XTRUDE: A Process‐Informed Framework for High‐Fidelity Analysis of Hydrogel Extrusion

Advanced Functional Materials, EarlyView.
Extrusion performance emerges from the interplay between material properties and processing conditions. XTRUDE (eXTrusion Rheology for Understanding and Defining Extrudability) recreates the extrusion environment with in situ pressure and temperature sensing, enabling characteristic pressure signatures to quantify extrusion‐specific phenomena and ...
Farhad Sanaei, Pascal Bertsch, Juliette Lafosse, Sander C. G. Leeuwenburgh, Mani Diba   +4 more
wiley   +1 more source