Mathematical model and stability of SWCNT- and MWCNT-based nanofluid flow with thermal and chemically reactive effects inside a porous vertical cone. [PDF]
Xu H, Awwad FA, Ismail EAA, Khan W.
europepmc +1 more source
A strain redistribution effect in a composite frame decouples stretch and pressure responses in dual‐mode force‐sensitive sensors. The design uses resistance for tensile deformation and capacitance for pressure. A random forest algorithm effectively decouples the signals, achieving high accuracy.
Hanning Wang+10 more
wiley +1 more source
Characterization of warped product manifolds through the W 2 -curvature tensor with applications to relativity. [PDF]
Syied AA, De UC, Turki NB, Vîlcu GE.
europepmc +1 more source
An Analysis of Elusive Relationships in Floating Zone Growth Using Data Mining Techniques
Ultra‐pure silicon single‐crystals can be grown by the Floating Zone (FZ) method. This study investigates intricate relationships between process stability measures and multiple growth parameters by applying data mining techniques on FZ simulations. Regression Trees identified multivariate relationships that help explaining complex interactions between
Lucas Vieira+3 more
wiley +1 more source
Fractal-fractional modeling and stability analysis of pine wilt disease dynamics. [PDF]
Aldwoah K+5 more
europepmc +1 more source
Electro‐Thermal Response of Thin Film Heaters Based on Embedded Periodic Metallic Mesh
“This study systematically investigates the effect of periodic metallic mesh topology on electrical and electro‐thermal behaviours of thin thermal heaters. The derived closed‐form expressions capture the dependence of sheet resistance on design parameters, providing a crucial tool for rapidly exploring a vast design space and accelerating design and ...
Dimitrios Charaklias+3 more
wiley +1 more source
Delving into quasi-periodic type optical solitons in fully nonlinear complex structured perturbed Gerdjikov-Ivanov equation. [PDF]
Yan Z, Li J, Barak S, Haque S, Mlaiki N.
europepmc +1 more source
Crystal Structure Prediction of Cs–Te with Supervised Machine Learning
High‐throughput density functional theory calculations combined with machine learning models are employed to predict stable Cs– Te binary crystals. By systematically evaluating various structural descriptors and learning algorithms, the superiority of models based on atomic coordination environments is revealed.
Holger‐Dietrich Saßnick+1 more
wiley +1 more source
Framework for charged compact objects admitting conformal motion in higher dimension. [PDF]
Zahra A, Mardan SA, Riaz MB, Manzoor R.
europepmc +1 more source