Review of machine learning for hydrodynamics, transport, and reactions in multiphase flows and reactors
Artificial intelligence (AI), machine learning (ML), and data science are leading to a
promising transformative paradigm. ML, especially deep learning and physics-informed ML …
promising transformative paradigm. ML, especially deep learning and physics-informed ML …
[HTML][HTML] Digital Twin-driven multi-scale characterization of machining quality: current status, challenges, and future perspectives
X Fu, S Li, H Song, Y Lu - Robotics and Computer-Integrated Manufacturing, 2025 - Elsevier
The evolution of manufacturing towards intelligent and digital processes requires innovation
in machining quality control. While current research primarily addresses single-scale quality …
in machining quality control. While current research primarily addresses single-scale quality …
A novel optimized decomposition method for Smoluchowski's aggregation equation
The Smoluchowski's aggregation equation has applications in the field of bio-
pharmaceuticals (Zidar et al., 2018 [1]), financial sector (Pushkin et al., 2004 [2]), aerosol …
pharmaceuticals (Zidar et al., 2018 [1]), financial sector (Pushkin et al., 2004 [2]), aerosol …
Elastic modulus identification of particles in particulate composite through nanoindentation
P Ying, Y Xia - International Journal of Mechanical Sciences, 2023 - Elsevier
The characterization of the constitutive behavior of embedded particles is crucial for the
mechanical analysis of functional particulate composites. However, current methods for …
mechanical analysis of functional particulate composites. However, current methods for …
Laplace transform‐based approximation methods for solving pure aggregation and breakage equations
The varied applications of the aggregation and breakage equations in several fields of
science have attracted many researchers to explore accurate novel methods to calculate …
science have attracted many researchers to explore accurate novel methods to calculate …
[HTML][HTML] Effect of oil content on pin-milling of soybean
RGA Politiek, ME Bruins, JK Keppler… - Journal of Food …, 2022 - Elsevier
Milling is a critical step to prepare plant-based food ingredients by dry fractionation. It should
provide a dispersible flour of finely milled particles composed of different cellular …
provide a dispersible flour of finely milled particles composed of different cellular …
Physics-informed deep learning for modelling particle aggregation and breakage processes
Particle aggregation and breakage phenomena are widely found in various industries such
as chemical, agricultural and pharmaceutical processes. In this study, a physics-informed …
as chemical, agricultural and pharmaceutical processes. In this study, a physics-informed …
Use of multiscale data-driven surrogate models for flowsheet simulation of an industrial zeolite production process
The production of catalysts such as zeolites is a complex multiscale and multi-step process.
Various material properties, such as particle size or moisture content, as well as operating …
Various material properties, such as particle size or moisture content, as well as operating …
Investigation on crushing behavior and cumulative deformation prediction of slag under cyclic loading
Y Chen, L Zhang, L Xu, S Zhou, P Zhang… - Transportation …, 2023 - Elsevier
This investigation aims to explore the crushing behavior and cumulative deformation of slag
under cyclic loading by both cyclic triaxial simulation tests through PFC5. 0 3D and in-situ …
under cyclic loading by both cyclic triaxial simulation tests through PFC5. 0 3D and in-situ …
[HTML][HTML] Establishing an oblique impact breakage master curve using a DEM bonded contact model
This paper aims to establish a breakage master curve of oblique impact using a DEM
bonded contact model. Despite numerous advantages of particle impact breakage by DEM …
bonded contact model. Despite numerous advantages of particle impact breakage by DEM …