Results 81 to 90 of about 17,094,571 (296)

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Improved Newton algorithm for power flow calculation of distribution grid considering load type

Gong-kuang zidonghua, 2013
The traditional Newton algorithm has heavy calculation burden and low efficiency, its iterations and time will significantly increase when load type is no longer a constant power. In view of these problems, an improved Newton algorithm for power flow was
TIAN Shu, WANG Li
doaj   +1 more source

Adaptive and Highly Efficient Thermoregulation Based on Multi‐Dimensional Janus Film

Advanced Science, EarlyView.
A switchable TiO2/MXene/PDMS Janus membrane enables dual‐mode radiative cooling and solar heating, achieving sub‐ambient cooling of 17.89°C and above‐ambient heating of 13.82°C. Adaptive temperature regulation was demonstrated with a low power integrated autonomous smart curtain system, providing a sustainable and energy‐efficient alternative for ...
Yuqing Shi, Yuting Fu, Xiong Yu, Yuao Guo, Yanjun Liu, Dan Luo, Yuanjing Lin   +6 more
wiley   +1 more source

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

Advanced Science, EarlyView.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen, Xiongfeng He, Zihao Li, Zidong Chen, Jiajin Sun, Xinyu Jiang, Yunhui Zhang, Lizhang Wu, Ran Wang, Jingnan Lu, Bo Wang, Kezhou Cai, Baocai Xu   +12 more
wiley   +1 more source

Updating to Optimal Parametric Values by Memory-Dependent Methods: Iterative Schemes of Fractional Type for Solving Nonlinear Equations

Mathematics
In the paper, two nonlinear variants of the Newton method are developed for solving nonlinear equations. The derivative-free nonlinear fractional type of the one-step iterative scheme of a fourth-order convergence contains three parameters, whose optimal
Chein-Shan Liu, Chih-Wen Chang
doaj   +1 more source

Convergence Theorem for a Family of New Modified Halley’s Method in Banach Space

Journal of Applied Mathematics, 2014
We establish convergence theorems of Newton-Kantorovich type for a family of new modified Halley’s method in Banach space to solve nonlinear operator equations. We present the corresponding error estimate.
Rongfei Lin, Yueqing Zhao, Qingbiao Wu, Jueliang Hu   +3 more
doaj   +1 more source

From Folding Mechanics to Robotic Function: A Unified Modeling Framework for Compliant Origami

Advanced Science, EarlyView.
A geometry‐consistent DDG framework captures compliant origami deformation from rigid‐like folding to soft panel bending. By tuning crease and panel stiffness, bistable snap‐through responses transform into smooth monostable deformation, enabling programmable stability and robot‐scale locomotion.
Bohan Zhang, Bo Wang, Huajiang Ouyang, Zhigang Wu, Haohao Bi, Jiawei Xu, Mingchao Liu, Weicheng Huang   +7 more
wiley   +1 more source

A Modified Conjugate Gradient Method using multi-step in Unconstrained Optimization [PDF]

المجلة العراقية للعلوم الاحصائية, 2011
In this paper we proposed a new HS type conjugate gradient method by using two kind of modification, first derived a new non-quadratic model second using structure of the memoryless BFGS quasi-Newton method.
doaj   +1 more source

Multi‐Scale Bionic Structure Constructs Biomass Flame‐Retardant Thermal Insulation Foam Material

Advanced Science, EarlyView.
Inspired by mussel adhesion and hierarchical brick‐and‐mortar architectures, a cellulose‐based biomimetic foam is constructed by anchoring bentonite nanosheets onto a polydopamine‐decorated cellulose nanofiber network. The resulting foam combines low thermal conductivity with intrinsic flame retardancy and full biodegradability, presenting a ...
Jianming Liao, Lijun Fan, Yunyuan Dong, Xuyu Bao, Xiaobin Chen, Qifu Zheng, Guanqing Zhang, Shen Wang, Wei Chen, Min Zhang, Shuaiming He   +10 more
wiley   +1 more source

The Convergence of a Class of Parallel Newton-Type Iterative Methods [PDF]

Advances in Numerical Analysis, 2017
A general iterative process is proposed, from which a class of parallel Newton-type iterative methods can be derived. A unified convergence theorem for the general iterative process is established. The convergence of these Newton-type iterative methods is obtained from the unified convergence theorem.
openaire   +2 more sources