Results 101 to 110 of about 59,816 (292)

Electrolyte‐Induced Interfacial/Bulk Dual Regulation Enables Negligible Capacity Decay in Li‐Rich Cathodes

Advanced Materials, EarlyView.
This work report a n electrolyte‑induced interfacial/bulk dual regulation strategy that enables negligible capacity decay in li‑rich cathodes. ABSTRACT Lithium‐rich manganese‐based oxides (LRMO) suffer from rapid capacity decay, mainly driven by interfacial instability and bulk structural degradation associated with Jahn‐Teller (J‐T) distortion in Mn3+‐
Tianqi Yang, Min Jiang, Jiatao Lou, Zhouyu Huang, Xingjun Li, Liuqi Wang, Qingru Zhou, Lun Li, Liuyi Hu, Wei Liu, Yuzhi He, Xingyu Wang, Zhengbo Liu, Wenkui Zhang, Jun Zhang, Xinhui Xia, Yang Ren, Qi Liu   +17 more
wiley   +1 more source

Uncertainty quantification based on symbolic regression and probabilistic programming and its application

Machine Learning with Applications
The joint roughness coefficient (JRC) is critical to evaluate the strength and deformation behavior of joint rock mass in rock engineering. Various methods have been developed to estimate JRC value based on the statistical parameter of rock joints.
Yuyang Zhao, Hongbo Zhao
doaj   +1 more source

Integrating ZnO/Ag2O@g‐C3N4‐Based Nanocomposites Into a Carrageenan Matrix to Efficiently Remove Heavy Metals From Water

Advanced Materials Interfaces, EarlyView.
ABSTRACT This research focused on characterizing graphitic carbon nitride (g‐C3N4) nanocomposites incorporated with ZnO and Ag2O nanoparticles, and carrageenan to remove heavy metals. The ZnO/Ag2O@ g‐C3N4 and ZnO/Ag2O/g‐C3N4@Carr nanocomposites demonstrated thermal stability of 97.40% (108.81°C) and 82.80% (188.99°C) for TGA.
Feziwe B. Mamba, Bhekani S. Mbuli, James Ramontja   +2 more
wiley   +1 more source

Influence of Carbon Nanoparticles on Electrically Induced Wear of Grease‐Lubricated Steels

Advanced Materials Interfaces, EarlyView.
When an electric current enters a pair of rubbing surfaces, enormous damage takes place. In this research, how such damage occurs in the presence of protective grease and the mitigation with added carbon nanoparticles, were investigated. It was discovered that those particles regulate transport and interfacial electrical stability of the grease ...
Mohammad Humaun Kabir, Darrius Dias, Jacob Bons, MD Wasek Foysal, Evan Johnson, Joe Kosmoski, Hong Liang   +6 more
wiley   +1 more source

A prediction model of the joint roughness coefficient based on Gaussian process regression

地质科技通报
Objective Estimating the joint roughness coefficient (JRC) is essential for evaluating the mechanical properties of a rock mass. Due to the limitation of a single statistical parameter for characterizing morphology, JRC values estimation by a single ...
Kexin ZHENG, Yiping WU, Jiang LI, Fasheng MIAO, Chao KE   +4 more
doaj   +1 more source

Analysis of the topography of microchannels with different sizes [PDF]

, 2009
This paper was presented at the 2nd Micro and Nano Flows Conference (MNF2009), which was held at Brunel University, West London, UK. The conference was organised by Brunel University and supported by the Institution of Mechanical Engineers, IPEM, the ...
2nd Micro and Nano Flows Conference (MNF2009), Luke, A, Muller, BCF, Strubing, H   +3 more
core  

Quantitative study on joint roughness coefficient (JRC) of rock mass

IOP Conference Series: Earth and Environmental Science, 2019
Ten Barton's standard roughness rating profile curves have been digitized by the interpolation approach with MATLAB software. It is proved that the way of digitizing the JRC curves is feasible, based on the contrastive analysis of slope root-mean-square of the JRC curves provided in this article and the others.
Bo Li, Xinjun Li, Wei Xiao, Jianzheng Zang, Huawei Wang   +4 more
openaire   +1 more source

Anti‐Slip Material‐Based Strategies and Approaches

Advanced Materials Technologies, EarlyView.
This review highlights the principle mechanisms of slipping at the microscale, linking contact mechanics with a friction behavior model for surface interfaces. Main strategies to develop anti‐slip properties to the surfaces are discussed alongside standardized testing approaches.
Sogand Abbaspoor‐Zanjani, Carlo Antonini, Teresa Gatti, Mengjiao Wang   +3 more
wiley   +1 more source

Data-driven machine learning approaches for predicting the shear strength of rock joints

Rock Mechanics Bulletin
Accurate prediction of the shear strength of rock joints is crucial for assessing the stability of civil and mining engineering projects. Traditional methods for determining the shear strength of rock joints are time-consuming, costly, and ...
Zhang Jinge, Jiang Yujing, Zhang Sunhao, Shang Dongqi, Sun Zhenjiao, Chen Hongbin   +5 more
doaj   +1 more source

Enhanced Infection Resistance and Regenerative Healing of Titanium Implants via Peptide‐Loaded Biodegradable Coatings

Advanced Materials Technologies, EarlyView.
This study presents a new biodegradable coating for titanium implants using a natural antimicrobial peptide, caerin 1.9. Applied via solvent casting, the coating offers sustained antibacterial protection and promotes healing. Tested on 3D‐printed porous titanium scaffolds, it effectively prevented infection—including against resistant bacteria—while ...
Hejie Li, Tianfang Wang, Nicolas Soro, Guoying Ni, Meg Allom, D. İpek Kurtböke, Xiaosong Liu, Damon Kent   +7 more
wiley   +1 more source