Mixing‐Driven Defects and Composition Evolution in Multi‐Material Metal Additive Manufacturing
Operando synchrotron X‐ray imaging coupled with high‐fidelity multiphysics modeling uncovers how inter‐material mixing reshapes keyhole dynamics and drives distinct pore‐formation pathways in multi‐material laser powder bed fusion (LPBF). Composition‐dependent instabilities trigger defects, whereas rescanning suppresses porosity and homogenizes Cu ...
Zhilang Zhang +5 more
wiley +1 more source
Mechanism of wettability alteration, interfacial tension reduction, and oil recovery by novel nanocomposite. Abstract The development of stable nanofluids (NFs) for enhanced oil recovery (EOR) relies on optimizing interactions between reservoir rocks and fluids.
Ehsan Jafarbeigi +2 more
wiley +1 more source
Combined effect of seawater and load on methacrylate adhesive. [PDF]
Rodríguez-Dopico FJ +5 more
europepmc +1 more source
Spatially resolved 23Na magnetic resonance dispersion measurement in porous media
Quantitative 23Na MRI was employed to analyze dispersion in realistic core plug samples and was compared with the conventional breakthrough curve. 23Na MRI provided a more effective aassessment of core plug heterogeneity than the conventional method. Abstract Tracer tests are widely used in the petroleum industry to assess reservoir core plugs, relying
Rheya Rajeev +5 more
wiley +1 more source
Transient Conjugate MHD Flow With Variable Thermal Conductivity: A CFD to ANN Study
A star‐shaped obstacle inside a hexagonal cavity alters fluid flow and heat transfer under magnetic fields. Simulations and ANN predictions reveal that magnetic strength and material properties control cooling efficiency, supporting smarter designs for real‐time thermal management.
M. A. Forhad +5 more
wiley +1 more source
Computational modeling and characterization methods for rotating magnetic nanochain-enhanced lateral flow immunoassays. [PDF]
Orlov AV +7 more
europepmc +1 more source
Physics Constraint‐Guided Neural Network for Solving Partial Differential Equations
A Physics Constraint‐Guided Network (PCGN) is proposed to solve partial differential equations by integrating physical encoding, adaptive residual balancing, and constraint projection. The framework enables stable constraint propagation, improves physical consistency, and achieves higher accuracy and robustness compared with existing neural network ...
Zhihui Hou, Yaxu Peng
wiley +1 more source
A computational study of unsteady MHD radiative nanofluid flow in a semi‐porous channel reveals that nanoparticle shape, volume fraction, and magnetic effects significantly influence velocity and heat transfer. Results highlight strong coupling between geometric, electromagnetic, and thermophysical parameters in optimizing thermal system performance ...
Mahmmoud M. Syam +2 more
wiley +1 more source
Low-energy densification of carbon anodes for fluorine electrolysis applications <i>via</i> a multi-cycle impregnation-carbonization route. [PDF]
Ma Z, Yang X, Zhu J, Kong X, Zhang P.
europepmc +1 more source
Short‐Term Effects on Rill Erosion and Flow Resistance in a Wood‐Biochar Amended Soil
This investigation evaluates the short‐term effects of wood‐biochar addition, with two different concentrations (BC = 3 and 5%) to soil on rill erosion and flow resistance. The results demonstrated that, in the short term, the addition of BC = 3% is effective in reducing soil erosion phenomena as compared to the control condition, while adding BC = 5 ...
Alessio Nicosia +6 more
wiley +1 more source

