Results 151 to 160 of about 22,791 (274)

Analytical and artificial neural network modeling of double-diffusive magnetized electroosmotic ellis nanofluid flow through a tapered non-uniform channel. [PDF]

Discov Nano
Rehman SU, Hadidi HM, Jari H, Azyabi A, Alshehery S, Sado AE, Dallak AM.   +6 more
europepmc   +1 more source

On a singular perturbation problem for linear systems of ordinary differential equations. II. [PDF]

Kodai Mathematical Journal, 1978
openaire   +6 more sources

Asymptotic relations between perturbed linear systems of ordinary differential equations [PDF]

Pacific Journal of Mathematics, 1973
Hallam, Thomas G., Onuchic, Nelson
openaire   +2 more sources

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

Analytical Investigation of Non-Local Optoelectronic Photo-Thermoelastic Response in Fiber-Reinforced Anisotropic Silicon Using an Eigenvalue Framework. [PDF]

Nanomaterials (Basel)
Emam A, Yusuf M, El-Dali A, Mrzog Alaofi Z.   +3 more
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

A data-driven approach to hepatitis C forecasting using machine learning and epidemiological models. [PDF]

PLoS One
Mannan A, Rahman JU, Alzahrani E, Fiidow OA.   +3 more
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Quadrature solution of fractional coupled burgers and plankton-oxygen dynamics under climate change. [PDF]

Sci Rep
Zayed MA, Almetwally EM, Mohamed M, Ragb O, Khidr MF, Matbuly MS, Salah M.   +6 more
europepmc   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source