Results 151 to 160 of about 3,600,739 (309)

Lithium‐Ion Battery Safety Evaluation by Quantifying Lithium Plating Degree Based on Pressure Signals

Advanced Science, EarlyView.
Low N/P cells enable controllable lithium plating, allowing the lithium plating degree (DLi) to be quantified and linked to thermal safety. Pressure signals during calibration provide a non‐destructive route to diagnose DLi, while thermal response tests define safety levels and management strategies. The framework remains applicable in commercial 12 Ah
Haonan Liu, Jiangong Zhu, Wenyuan Weng, Bin Shen, Wenjun Fan, Yang Wang, Huapeng Lu, Wuliyasu He, Chunjing Lin, Xuezhe Wei, Haifeng Dai   +10 more
wiley   +1 more source

Dynamics of a double physical pendulum with variable mass in dimensionless coordinates [PDF]

Mechanik, 2016
Rafał Kwiatkowski, Tadeusz J. Hoffmann, Andrzej Kołodziej, Grzegorz Domek   +3 more
openaire   +1 more source

Inverse Design of Pre‐Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing

Advanced Science, EarlyView.
An analytical electromechanical model rooted in microcrack evolution mechanics is globally calibrated from only eight pre‐strain datasets, enabling prediction of the complete sensing response at untested pre‐strain values within the calibrated design space (R2 > 0.99).
Jia‐Chen Shang, Rui Wang, Bo Lu, Ming‐Liang Song, Yu‐Yi Chen, Kuo Han, Xin‐Jie Feng, Bin Sun, Yao‐Guang Cao, Xiao‐Yu Yan, Shi‐Chun Yang   +10 more
wiley   +1 more source

Analytically determining of the relative inaccuracy (error) of indirectly measurable variable and dimensionless scale characterising quality of the experiment.

Comput. Sci. J. Moldova, 2012
In the following paper we present an easily applicable new method for analytical representation of the maximum relative inaccuracy (error) of an indirectly measurable variable $f=f(x_1, x_2, ..., x_n)$ as a function of the maximum relative inaccuracies (errors) of the directly measurable variables $x_1, x_2, ..., x_n$. Our new approach is more adequate
Kiril Kolikov, Georgi Krastev, Yordan Epitropov, Andrei Corlat   +3 more
openaire   +2 more sources

Enhancing Near‐Room‐Temperature Thermoelectric Performance of n‐Type Mg3(Sb, Bi)2‐Based Materials via ZrB2 Heterointerface Engineering

Advanced Science, EarlyView.
A conductive ZrB2 ceramic composite strategy was developed for Mg3(Sb, Bi)2 thermoelectrics to regulate carrier transport and phonon scattering through heterointerface engineering. The 1.0 wt.% ZrB2 composite achieved enhanced room‐temperature performance, with a power factor of 28.51 µW cm−1 K−2 and a peak ZT of 1.22 at 573 K.
Yangyang Xu, Li Zhang, Meng Li, Jie Zhang, Nan‐Hai Li, Yan‐Ling Yang, Xiao‐Lei Shi, Zhi‐Gang Chen   +7 more
wiley   +1 more source

Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions

Advanced Science, EarlyView.
A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan, Huan Wang, Zhen Chen, Haoyu Pan, Wei Wu, Zirong Wang, Ershun Pan, Min Xie, Lifeng Xi   +8 more
wiley   +1 more source

Synergistic Grain Boundary and Phonon Engineering Enables Ultrahigh Thermoelectric Performance in Mg3(Sb, Bi)2‐Based Materials

Advanced Science, EarlyView.
Ta encapsulated melting and Cu doping synergistically engineer grain boundaries and phonon scattering in Mg3(Sb,Bi)2, enabling single‐crystal‐like carrier transport and high thermoelectric performance. ABSTRACT Thermoelectric Mg3(Sb, Bi)2 has emerged as a rising star in virtue of its promising thermoelectric performance and abundant constituent ...
Jingdan Lei, Kai Xu, Kunpeng Zhao, Junzhuo Zhou, Haotian Gao, Yifan Yuan, Tian‐Ran Wei, Min Zhu, Qihao Zhang, Franck Gascoin, Xun Shi   +10 more
wiley   +1 more source

A Dual‐Mode In Situ EV‐miRNA Profiling Platform for Machine‐Learning‐Assisted Gastric Cancer Liquid Biopsy

Advanced Science, EarlyView.
An in situ dual‐mode platform integrates fusogenic liposomes with localized autocatalytic DNA circuits for plasma‐derived extracellular vesicle microRNA analysis. Following membrane fusion, target miRNAs trigger feedback‐assisted LECHA amplification inside intact vesicles, generating fluorescence and electrochemical outputs. Machine learning integrates
Wenbin Li, Rui Fan, Kun Xie, Jiehua Zhong, Yitong Zhu, Tingting Ji, Yuanyuan Qin, Shijin Peng, Yu Zhang, Yuhang Guo, Tiange Zhang, Chunchen Liu, Bo Li, Lei Zheng, Ye Zhang, Xiaohui Yan   +15 more
wiley   +1 more source

A Dimensionless Macroscopic State Variable for Earth System Stability: An Effective Theory Approach

We introduce a unified non-equilibrium thermodynamic framework to quantify the macroscale structural stability of the Earth system, conceptualized here as a highly coupled, multiphysics dissipative manifold Ψ⊕. Rather than analyzing localized subsystems in isolation,we construct a global, dimensionless effective state variable, denoted as the Earth ...
openaire   +2 more sources

The Interplay of Curvature, Geometry, and Topology Shapes Tissue Organisation in Epithelial Shells

Advanced Science, EarlyView.
Purely geometric 3D Voronoi models predict the organisation of epithelial shells. The interplay of curvature, geometry, and topology enriches the number of pentagons in shells with lower number of cells. Small MDCK cysts and Mouse embryos match the top polygonal configurations in a compactness‐based ranking derived from the Voronoi model. In conclusion,
Laura Morato, Jesús A. Andrés‐San Román, Juan Garrido‐García, Carmen Gordillo‐Vázquez, Ana M. Palacios, Elisabeth Lidueña‐Fernández, Katie McDole, Pedro Gómez‐Gálvez, Valentina Annese, Luis M. Escudero   +9 more
wiley   +1 more source