Results 71 to 80 of about 41,579 (296)

Bis(catecholato)silicates: Synthesis and Structural Data

, 2022
International audienceThis minireview provides an overview of the synthesized bis(catecholato)silicates based on the nature of the alkyl or aryl residues and associated cations as well as the methods developed for this purpose.
Ollivier, Cyril, Fensterbank, Louis, Louis Fensterbank, Alexandre Millanvois, Cyril Ollivier, Millanvois, Alexandre   +5 more
core   +1 more source

From Pores to Pavement: Advanced Modeling of Aluminosilicates for Scalable Carbon Capture in Concrete

Advanced Science, EarlyView.
This study presents a transferable modeling framework for carbon capture using aluminosilicates, integrating Universal Isotherm Modeling with experimental data. It reveals how ultramicropores, alumina content, and amine functionalization influence CO2 adsorption energetics.
Pooja Anil Kumar Nair, Jéssica de O. N. Ribeiro, Murilo Daniel de Mello Innocentini, Kevin Paine, Juliana Calabria‐Holley   +4 more
wiley   +1 more source

Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement

Advanced Science, EarlyView.
The temperature‐induced Arrhenius activation energy switching phenomenon of electrical conduction in electrically conductive cement originates from structural degradation within the biphasic ionic‐electronic conduction architecture and shows percolation‐governed characteristics: pore network opening dominates the low‐percolation regime with downward ...
Jiacheng Zhang, Xinyuan Ke, Andrew Heath, Richard J. Ball, Jiawei Xie, Jinchen Fan, Guisheng Li, Kevin Paine   +7 more
wiley   +1 more source

Espumado de mezclas de silicato de sodio-wollastonita por microondas

Boletín de la Sociedad Española de Cerámica y Vidrio, 2004
The effect of the application of microwaves on the volume, porosity and thermal conductivity of sodium silicate-wollastonite mixtures was studied. The compositional range studied was 20-100 wt% sodium silicate.
Vargas, G., Vázquez, F., López, J., Méndez, J., Méndez, M., Pena, P.   +5 more
doaj  

Spatial distribution and morphometric and mineralogical features of air dust pollution in the impact zone of Trypilska Thermal Power Station

Geo&Bio, 2019
Spatial distribution of atmospheric dust pollution, dispersion, chemical composition and morphometric and mineralogical features of dust from fly ash of Trypilska Thermal Power Station (TPS) were investigated.
V. Dolin, O. Shcherbak, A. Samchuk, G. Pampukha   +3 more
doaj   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Rate controls on silicate dissolution in cementitious environments

RILEM Technical Letters, 2017
The dissolution rate of silicate minerals and glasses in alkaline environments is of importance in cementitious systems due to its influences on: (a) early-age reactivity that affects the rate of strength gain and microstructure formation, and/or, (b ...
Tandre Oey, Yi-Hsuan Hsiao, Erika Callagon, Bu Wang, Isabella Pignatelli, Mathieu Bauchy, Gaurav N. Sant   +6 more
doaj   +1 more source

Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries

Advanced Science, EarlyView.
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park, Myeongcho Jang, Hun‐Gi Jung, Kyung Yoon Chung, Seungho Yu   +4 more
wiley   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Two-dimensional (2D) d-Silicates from abundant natural minerals [PDF]

, 2022
In the last decade, the materials community has been exploring new 2D materials (graphene, metallene, TMDs, TMCs, MXene, among others) that have unique physical and chemical properties.
R., Karthik, M., Ambresha, Kundu, Tarun Kumar, Lahiri, Basudev, Mahapatra, Preeti Lata, Costin, Gelu, Galvao, Douglas S., Tromer, Raphael, Ajayan, P. M., Singh, Appu Kumar, Tiwary, Chandra Shekhar   +10 more
core   +1 more source