Fluorescent metal nanoclusters: prospects for photoinduced electron transfer and energy harvesting

S Bhunia, M Mukherjee, P Purkayastha - Chemical Communications, 2024 - pubs.rsc.org
Research on noble metal nanoclusters (MNCs)(elements with filled electron d-bands) is
progressing forward because of the extensive and extraordinary chemical, optical, and …

A review of the use of numerical analysis in stomach modeling

X Liu, DF Fletcher, GM Bornhorst - Journal of Food Science, 2024 - Wiley Online Library
Food digestion is important for human health. Advances have been made using in vitro
models to study food digestion, but there is considerable potential for numerical approaches …

Effects of viscosity and induced magnetic fields on weakly nonlinear wave transmission in a viscoelastic tube using physics-informed neural networks

B Bhaumik, S Changdar, S Chakraverty, S De - Physics of Fluids, 2024 - pubs.aip.org
This study presents an advanced deep learning methodology that utilizes physics-informed
neural networks (PINNs), to analyze the transmission of weakly nonlinear waves in a …

Physics-informed Machine Learning Framework for Approximating the Modified Degasperis-Procesi Equation

S Kumar, AK Sahoo… - … Conference on Ambient …, 2023 - ieeexplore.ieee.org
The Degasperis-Procesi (DP) equation, is a prominent nonlinear partial differential equation
(PDEs) with important applications in computational fluid dynamics (CFD) in particular wave …