Results 81 to 90 of about 2,426,713 (310)

Parameters of labile organic carbon as the indicators of the stability of soil organic matter under different land use

Soil and Water Research
The labile fractions of organic carbon (OC), which are a reflection of the properties of soil and its use, appear to be suitable parameters for their use as indicators.
Erika Balontayová, Juraj Hreško, Viera Petlušová, Peter Petluš, Bożena Dębska, Tomáš Lošák   +5 more
doaj   +1 more source

A1045_East_Carbon_High_School_0048_HD_18_fps

, 1958
Film showing the East Carbon High School football team playing against an unidentified team. East Carbon wears the red helmets.
East Carbon High School
core  

Anisotropic buckypaper through shear-induced mechanical alignment of carbon nanotubes in water [PDF]

, 2014
This article is under embargo until August 30, 2016, per publisher policy.A simple method for aligning nanotubes in buckypaper with a modified Taylor–Couette system is reported.
Kessler, Michael, Vennerberg, Danny
core   +1 more source

Modular Critical Element Recycling Platform Using a Nanoporous Additively Manufactured Gyroid

Advanced Engineering Materials, EarlyView.
A modular recycling platform integrates 3D‐printed nanoporous gyroid structures to enable efficient critical element recovery. This system utilizes a hierarchical architecture, combining macroscopic channels with polymerization‐induced nanoscale porosity. By systematically tuning structural wall thickness and resin formulation, the platform achieves an
Xiangyu Gao, Keldy Mason, Mert Gülçür, Rachel Paddock‐Lamb, Prince Alvin Fofanah, Zachariah A. Page, Michael Cullinan   +6 more
wiley   +1 more source

The impact of thermal stabilization temperature and duration on the pore structure of polyacrylonitrile-based carbon nanofibers

Carbon Trends
This work analyzes the impact of temperature and duration during thermal stabilization of polyacrylonitrile-based (PAN-based) nanofibers on the pore formation of carbon nanofibers.
T. Fischer, M. Pagel, A. Kretzschmar, V. Selmert, S. Jovanovic, R. Rameker, H. Kungl, H. Tempel, R.-A. Eichel   +8 more
doaj   +1 more source

A1045_East_Carbon_High_School_0036_HD_18_fps

, 1980
Film showing the East Carbon High School football team playing against Park City at East Carbon on Sept. 12, 1980. There are shots of the scoreboard, but they are too washed out to see who won.
East Carbon High School
core  

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Texture and organic carbon contents do not impact amount of carbon protected in Malagasy soils

Scientia Agricola, 2013
Soil organic carbon (SOC) is usually said to be well correlated with soil texture and soil aggregation. These relations generally suggest a physical and physicochemical protection of SOC within soil aggregates and on soil fine particles, respectively ...
Tantely Razafimbelo, Tiphaine Chevallier, Alain Albrecht, Lydie Chapuis-Lardy, Fela Nirina Rakotondrasolo, Roger Michellon, Lilia Rabeharisoa, Martial Bernoux   +7 more
doaj  

Copper on carbon materials: stabilization by nitrogen doping

Journal of Materials Chemistry A, 2017
N-doping of carbon support prevents sintering of Cu and provides its high catalytic activity in H 2 formation from formic acid.
Dmitri A. Bulushev, Andrey L. Chuvilin, Vladimir I. Sobolev, Svetlana G. Stolyarova, Yury V. Shubin, Igor P. Asanov, Arcady V. Ishchenko, Giacomo Magnani, Mauro Riccò, Alexander V. Okotrub, Lyubov G. Bulusheva   +10 more
openaire   +5 more sources

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source