Results 131 to 140 of about 468,260 (171)

AUKF-PINN: An adaptive framework for low-energy gamma multiphase flow measurement under noisy industrial conditions. [PDF]

PLoS One
Huang Y, Liang H, Zhu L, He L, Zeng T, Liu M.   +5 more
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

Validation of the portable MX3 hydration testing system for measuring saliva osmolality. [PDF]

Front Nutr
Winkler AM, Zaplatosch ME, Smith CJ, Adams WM, Willis CF, Bovine S, McClure MR, Santos G, Chmunevich Y, Mitchell SJ, O'Grady E, Kinnaird W.   +11 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

Synergistic Doping and Stabilization of Magnetically Tunable LnTi3(Sb,Sn)4 (Ln: Ce-Gd) Kagome Metals. [PDF]

J Am Chem Soc
Ortiz BR, Chapai R, Samolyuk GD, Sprague M, Kumay AK, Miao H, Górnicka K, Wang X, Zhang Q, Neupane M, Parker D, Yan J.   +11 more
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

Multi-omics analysis reveals insights into the differentiation between radiological subtypes of early lung adenocarcinoma. [PDF]

Clin Transl Med
Miao H, Kong R, Xu X, Wang M, Teng X, Zhu D, Zhao W, Cai S, Zhou J, Lv X, Zhou Z.   +10 more
europepmc   +1 more source

Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading

Advanced Engineering Materials, EarlyView.
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev, Noah‐Lean Roschlaub, Anne Jung   +2 more
wiley   +1 more source

Resolving aromatic spectral congestion in whole-cell solid-state NMR: Signatures of condensed tannins and lignin in plant tissues. [PDF]

Cell Surf
Sahu P, Xiao P, Debnath D, Yarava JR, Cheng Q, Wang T.   +5 more
europepmc   +1 more source