ENSO-modulated heat source and moisture sink of Asian monsoon and its impact on rice production. [PDF]
Sinha M, Jha S, Kumar A.
europepmc +1 more source
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 +6 more
wiley +1 more source
Laplace transform-based BEM for unsteady heat conduction in space-time anisotropic functionally graded materials with heat source. [PDF]
Ayitaged DW +3 more
europepmc +1 more source
Heat source modeling, penetration analysis and parametric optimization of super spray MAG welding. [PDF]
Li Z, Xia Y.
europepmc +1 more source
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 +3 more
wiley +1 more source
Comparative thermoelastic analysis of semiconductors with an external heat source under three theories. [PDF]
Das B, Islam N, Lahiri A.
europepmc +1 more source
Time fractional Yang-Abdel-Cattani derivative in generalized MHD Casson fluid flow with heat source and chemical reaction. [PDF]
Sehra, Sadia H, Haq SU, Khan I.
europepmc +1 more source
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 +4 more
wiley +1 more source
Automated and Low Computational Cost Thermo-Mechanical Simulation of Arbitrary GMAW T-Joint Welds Using a Moving Heat Source. [PDF]
Santarrosa-Rodriguez S +6 more
europepmc +1 more source
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source

