AIMC Journal:
Discover nano

This study analyzes the impact of local thermal non-equilibrium on the bioconvection flow of hybrid nanofluid across a slender extending sheet containing gyrotactic bacteria using artificial neural networks trained using a Bayesian regularization bac...

Achieving reproducible synthesis of nanomaterials with tunable optical and morphological properties remains a central challenge in materials design. Conventional trial-and-error strategies struggle with the nonlinear transitions governing nanoparticl...

Machine learning (ML) is increasingly applied in quantum dot (QD) research to support data analysis, device control, materials optimization, sensing, and theoretical modeling. This review surveys recent ML-based approaches across experimental, applie...

BACKGROUND: Hepatitis B and C viruses (HBV and HCV) remain major global health challenges, contributing significantly to liver-related morbidity and mortality worldwide. Although direct-acting antivirals (DAAs) have improved patient outcomes, key lim...

In nanostructure extraction, advanced techniques like synchrotron radiation and electron microscopy are often hindered by radiation damage and charging artifacts from long exposure times. This study presents a multiframe superresolution method using ...