Results 151 to 160 of about 15,112,343 (251)

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

Advances in Measurement and Simulation Methods of Thin Liquid Film Corrosion. [PDF]

Materials (Basel)
Cai Y, Gao Y, Zhuang Y, Wu S, Chen F, Jin Y, Zhu P, Qin L, Su Y.   +8 more
europepmc   +1 more source

Simultaneous ThermoBrachytherapy: Electromagnetic Simulation Methods for Fast and Accurate Adaptive Treatment Planning. [PDF]

Sensors (Basel), 2022
Androulakis I, Mestrom RMC, Christianen MEMC, Kolkman-Deurloo IK, van Rhoon GC.   +4 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

Vehicle Aerodynamic Noise: A Systematic Review of Mechanisms, Simulation Methods, and Bio-Inspired Mitigation Strategies. [PDF]

Biomimetics (Basel)
Zou T, Fu Y, Cao P.
europepmc   +1 more source

Unveiling mutation effects on the structural dynamics of the main protease from SARS-CoV-2 with hybrid simulation methods. [PDF]

J Mol Graph Model, 2023
Gasparini P, Philot EA, Pantaleão SQ, Torres-Bonfim NESM, Kliousoff A, Quiroz RCN, Perahia D, Simões RP, Magro AJ, Scott AL.   +9 more
europepmc   +1 more source

Using Simulation-based Inference with Panel Data in Health Economics [PDF]

Panel datasets provide a rich source of information for health economists, offering the scope to control for individual heterogeneity and to model the dynamics of individual behaviour. However the qualitative or categorical measures of outcome often used
Andrew M. Jones, Paul Contoyannis, Roberto Leon-Gonzalez   +2 more
core  

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

Machine learning-guided evaluation of extraction and simulation methods for cancer patient-specific metabolic models. [PDF]

Comput Struct Biotechnol J, 2022
Lee SM, Lee G, Kim HU.
europepmc   +1 more source

Kriging Models That Are Robust With Respect to Simulation Errors [PDF]

In the field of the Design and Analysis of Computer Experiments (DACE) meta-models are used to approximate time-consuming simulations. These simulations often contain simulation-model errors in the output variables.
Siem, A.Y.D., Hertog, D. den
core