Results 141 to 150 of about 8,773,435 (248)

Red-edge vegetation indices from GF-6 for mitigating LAI effect in leaf chlorophyll estimation

Leaf chlorophyll content (LCC) is a critical biochemical parameter that reflects the photosynthetic capacity and physiological status of vegetation. Traditional remote sensing approaches for retrieving LCC based on vegetation indices (VIs) are often ...
Zhaoxu Zhang (10579048), Yuanheng Sun (11616526), Xueyuan Zhu (6206210), Yao Zhang (134381), Tianhao Lian (20490736), Senlin Teng (24379731)   +5 more
core   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

Advanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar, Akash Vyas, Mohammad Aatif Qazi, Nashit Jalal, Maria Ophelia Jarligo, Mostafa Yakout, Jing Liu, André McDonald   +7 more
wiley   +1 more source

Non-Hermitian topology from edge transport in Hermitian quantum anomalous Hall systems. [PDF]

Nat Commun
Zhou H, Lu M, Chen CZ, Xie XC.
europepmc   +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

Balanced contractility and adhesion drive polarization in a minimal elastic actomyosin network. [PDF]

PLoS Comput Biol
Messi Z, Raynaud F, Goehring NW, Verkhovsky AB.   +3 more
europepmc   +1 more source

The Edge Moor water tube boiler ... general catalogue .

, 1922
Mode of access ...
Edge Moor iron company, Edge Moor, Del.
core  

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 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

Beyond air temperature: An examination of leveraging operative temperature space for the discovery of bioinspired thermal design features. [PDF]

PLoS One
Slavens TN, Shabgard H.
europepmc   +1 more source

Red blood cell parameters in antenatal nonsickling hemoglobinopathy screening

, 2015
Gabriela Bencaiova, Kristina Dapoto, Roland Zimmermann, Alexander Krafft Department of Obstetrics and Gynecology, Institute of Obstetric Research, University Hospital Zurich, Zurich, Switzerland Objective: To find a hematological parameter and the
Zimmermann R, Bencaiova G, Krafft A, Dapoto K   +3 more
core