Review of machine learning for hydrodynamics, transport, and reactions in multiphase flows and reactors

LT Zhu, XZ Chen, B Ouyang, WC Yan… - Industrial & …, 2022 - ACS Publications
Artificial intelligence (AI), machine learning (ML), and data science are leading to a
promising transformative paradigm. ML, especially deep learning and physics-informed ML …

Machine learning and data science in chemical engineering

H Gao, LT Zhu, ZH Luo, MA Fraga… - Industrial & Engineering …, 2022 - ACS Publications
Chemical engineering is a data-rich subject. Practitioners collect and analyze data for
understanding flow patterns, developing empirical models, designing and optimizing …

[HTML][HTML] A machine learning proposal method to detect milk tainted with cheese whey

JS Lima, DCSZ Ribeiro, HA Neto, SVA Campos… - Journal of Dairy …, 2022 - Elsevier
Cheese whey addition to milk is a type of fraud with high prevalence and severe economic
effects, resulting in low yield for dairy products, nutritional reduction of milk and milk-derived …

Retrieving mean volumetric properties of multiphase flows from 2D images: A new approach combining deep learning algorithms and 3D modelling

K Dia, F Lamadie, J Debayle - Chemical Engineering Science, 2023 - Elsevier
Measuring the morphological properties of complex multiphase systems is a crucial problem
in many areas of science and industry and is particularly difficult in dense environments with …

Classification of Woody Biomass Images Using Neural Networks and Attention Mechanisms

C Ji, JS Lee, S Sokhansanj, Y Cao - Industrial & Engineering …, 2024 - ACS Publications
Wood biomass is a crucial resource in the field of bioenergy. It is commonly used as a
feedstock in bioenergy generation and biochemical production. However, to fully make use …

Combing mobile electrical capacitance tomography with Fourier neural operator for 3D fluidized beds measurement

C Zhang, A Li, C Li, X Li, M Ye, Z Liu - AIChE Journal, 2025 - Wiley Online Library
Despite the practical importance, 3D measurements of gas–solid distribution in fluidized
beds calls for further breakthroughs. Here an approach combing a recently developed …

Wall-pressure-based spatial flow-field reconstruction and sensor arrangement optimization in a supersonic isolator

K Wang, C Kong, J Chang - Physics of Fluids, 2025 - pubs.aip.org
Sensing and reconstruction for supersonic flow field based on wall-pressure is promising. A
new method for three-dimensional (3D) spatial flow-field reconstruction for the isolator of a …

Experimental investigation of fluid flow around a porous cube for Reynolds numbers of 400–1400

L Ma, S Kashanj, X Li, S Xu, DS Nobes, M Ye - Chemical Engineering …, 2023 - Elsevier
Porous particles with different shapes are commonly used in chemical reactors. Flow
characteristics and drag coefficients of these porous particles, affecting heat and mass …