Results 191 to 200 of about 90,096 (231)

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

Comparative boundary-layer analysis of Buongiorno nanofluid flow over flat surfaces: Blasius, Sakiadis, stagnation-point, and stretching-sheet configurations. [PDF]

Discov Nano
Faisal M, Ibrahim W, Badruddin IA, Zedan A.   +3 more
europepmc   +1 more source

Precipitation Simulations of the O‐Phase in Ti2AlNb Alloys Processed by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Simulated and experimental evolution of the O‐phase volume fraction during postprocessing of a Ti‐21Al‐25Nb (at.%) alloy processed by laser powder bed fusion. With results of sensitivity to input parameters from a thorough and quantified analysis, the interfacial energy matrix/precipitate is the most relevant input parameter for the simulation of the O‐
Silvana Tumminello, Joachim Gussone, Suzana G. Fries, Marcus Rackel, Andreas Stark, Norbert Schell, Jan Haubrich, Guillermo Requena   +7 more
wiley   +1 more source

A Novel MSPLL-Based Method for Frequency Synthesis in Hydrogen MASER. [PDF]

Sensors (Basel)
Simariya D, Johnson SR, Dharmappa D, Dakkumalla S, Dubey PR, Vasanthakumar RM, Daniel DA, Thirukkodi SG.   +7 more
europepmc   +1 more source

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

Physics-Informed Modified Kolmogorov-Arnold Network for CO Concentration Prediction in Gob Areas of Coal Spontaneous Combustion. [PDF]

Sensors (Basel)
Li Z, Hou J, Han L, Wang X.
europepmc   +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

MLISB-RTK: Machine Learning Based on Inter-System Biases to Improve the Performance of RTK in Complex Environments. [PDF]

Sensors (Basel)
Zhang R, Zhao W, Shao X, Li M.
europepmc   +1 more source

A note on a generalized double series. [PDF]

PLoS One
Reynolds R.
europepmc   +1 more source

Magnetically Targeted Drug Transport Across a Tumor Cell Membrane Under Magnetic Field Gradients. [PDF]

Int J Mol Sci
Kovačević MS, Dragnić R, Marković VM, Kovačević I, Tosi D.   +4 more
europepmc   +1 more source