Results 81 to 90 of about 14,259 (248)

Combined Process‐ and Phase‐Field‐Simulation to Predict the Microstructure of Single‐Crystal Ni‐Based Superalloys

Advanced Engineering Materials, EarlyView.
A combined finite element and phase‐field approach predicts the evolution of microstructure during the directional solidification of Ni‐based superalloys. The model reveals how withdrawal rate, temperature gradient, and wall thickness control the dendrite spacing, highlighting the strong effect of surface regions in thin sections where dendrite growth ...
Sean Böhm, André B. Baldissera, Rainer Völkl, Uwe Glatzel   +3 more
wiley   +1 more source

Seedling imaging analysis and traditional tests to assess okra seed vigor

Journal of Seed Science
Seed vigor testing is an important component of quality control programs adopted by seed industry. The software Seed Vigor Imaging System (SVIS) has been successfully used for seed vigor assessment in different species. The objective of this research was
Ana Lúcia Pereira Kikuti, Júlio Marcos-Filho   +1 more
doaj  

Seed vigor testing by low temperature germination in early rice

浙江大学学报. 农业与生命科学版, 2019
Taking the seeds of six early rice cultivars ‘Zhuliangyou 06’, ‘Zhuliangyou 101’, ‘Zhongzao 39’, ‘Jinzao 47’, ‘Zhongjiazao 17’ and ‘Yongxian 15’ as materials, the seed vigor of these early cultivars was determinated by the standard germination test, low ...
CAO Dongdong, WU Wei, CHEN Shanyu, QIN Yebo, RUAN Guanhai, LU Min, QIAN Peili, HUANG Yutao   +7 more
doaj   +1 more source

Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys

Advanced Engineering Materials, EarlyView.
This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa, Aparna Saksena, Alesander Kostka, Pascal Thome, Felicitas Scholz, Alexandre Mussi, Christoph Somsen, Baptiste Gault, Jan Frenzel, Gunther Eggeler   +9 more
wiley   +1 more source

OsSAP3 Enhances Rice Seed Vigor by Modulating Hydrogen Peroxide Homeostasis

Rice
High seed vigor is an important trait for successful seed germination and seedling establishment in rice. However, the underlying regulatory mechanism remains unclear.
Qingshan Mu, Yihan Liu, Xuefan Wu, Min Chen, Jin Hu, Fengpei Qiao, Weimin Hu, Wenjian Song, Yajing Guan   +8 more
doaj   +1 more source

Common bean seed vigor affecting crop grain yield

Journal of Seed Science
: Among the factors that affect seedling emergence and crop establishment are seed germination and vigor, which has an important influence on the establishment of the initial plant population and development, and may affect crop yield.
Vitor Henrique Vaz Mondo, Adriano Stephan Nascente, Manoel Oliveira Cardoso Neto   +2 more
doaj   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

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

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

Correlation analysis between physical characteristics and seed vigor of the endangered plant Abies beshanzuensis

Xibei zhiwu xuebao
[Objective] This study aims to explore the relationship between seed morphological and physical characteristics and seed vigor of Abies beshanzuensis, in order to provide a theoretical basis for further population renewal and protection of this ...
LÜ Hongfei, LOU Chenkun, LAN Rongguang, XIONG Yanyun, YANG Yunfang, YU Mingjian   +5 more
doaj   +1 more source