Results 171 to 180 of about 139,732 (335)

Impact of Cattaneo–Christov Heat and Mass Flux on MHD Hybrid Nanofluid Flow Over an Extending Surface With Convective and Mass Flux Effects

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study investigates the flow of a magnetized hybrid nanofluid over a permeable stretching surface. The mass and thermal transport within the system is regulated using the Cattaneo–Christov flux theory. The fluid is additionally subjected to thermophoresis, chemical reaction, Brownian motion, and activation energy effects.
Ebrahem A. Algehyne, Abdul Bariq, Mounirah Areshi, Fahad Maqbul Alamrani, Zehba Raizah, Izharul Haq, Anwar Saeed   +6 more
wiley   +1 more source

The Origin of Vasomotion and Stochastic Resonance in Vasomotion. [PDF]

Front Bioeng Biotechnol, 2022
Liu S, Zhao L, Liu Y.
europepmc   +1 more source

Effects of magnetic fields on stochastic resonance in Hodgkin-Huxley neuronal network driven by Gaussian noise and non-Gaussian noise

, 2021
Huilan Yang, Guizhi Xu, Hongbin Wang
openalex   +2 more sources

Advancing Machine Learning Optimization of Chiral Photonic Metasurface: Comparative Study of Neural Network and Genetic Algorithm Approaches

Advanced Physics Research, EarlyView.
Two methods for the optimization of chiral reflection by a metamaterial made of either GaP/Air or PMMA/Air interfaces are compared, showing approaches towards fast design exploration and high‐performance results: a neural‐network pipeline and a genetic algorithm. The structures considered are characterized by a periodic, chiral texturation with a shape
Davide Filippozzi, Alexandre Mayer, Nicolas Roy, Wei Fang, Arash Rahimi‐Iman   +4 more
wiley   +1 more source

A Novel Piecewise Tri-Stable Stochastic Resonance System Driven by Dichotomous Noise. [PDF]

Sensors (Basel), 2023
Zhao S, Shi P.
europepmc   +1 more source

Analysis of stochastic resonances in electromagnetic couplings to transmission lines

, 2009
OO Ousmane Sy, Martijn C. van Beurden, B. L. Michielsen   +2 more
openalex   +2 more sources

Radon Transform and Dynamic Stochastic Resonance based Technique for Line Detection from Noisy Image [PDF]

, 2019
Rajib Kumar Jha, Badal Soni, Sumit Kumar, Vivek Singh Verma   +3 more
openalex   +1 more source

A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation

Advanced Physics Research, EarlyView.
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab, Houssam Eddine Hailouf, Kingsley Onyebuchi Obodo, Mireille Megnidio‐Tchoukouegno, Mohammed Benali Kanoun, Souraya Goumri‐Said   +5 more
wiley   +1 more source

A novel untrained SSVEP-EEG feature enhancement method using canonical correlation analysis and underdamped second-order stochastic resonance. [PDF]

Front Neurosci, 2023
Chen R, Xu G, Zhang H, Zhang X, Li B, Wang J, Zhang S.   +6 more
europepmc   +1 more source

Characterizing stochastic resonance in a triple cavity [PDF]

, 2021
Ruoxing Mei, Yong Xu, Yongge Li, Jürgen Kurths   +3 more
openalex   +1 more source