Related references
Note: Only part of the references are listed.Physics-inspired architecture for neural network modeling of forces and torques in particle-laden flows
Arman Seyed-Ahmadi et al.
COMPUTERS & FLUIDS (2022)
A Machine Learning Study of Predicting Mixing and Segregation Behaviors in a Bidisperse Solid-Liquid Fluidized Bed
Zhouzun Xie et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2022)
Deep learning methods for predicting fluid forces in dense particle suspensions
Neil Raj Ashwin et al.
POWDER TECHNOLOGY (2022)
Explainable Artificial Intelligence for Prediction of Complete Surgical Cytoreduction in Advanced-Stage Epithelial Ovarian Cancer
Alexandros Laios et al.
JOURNAL OF PERSONALIZED MEDICINE (2022)
Interpretable machine learning models for crime prediction
Xu Zhang et al.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS (2022)
A subsurface machine learning approach at hydrocarbon production recovery & resource estimates for unconventional reservoir systems: Making subsurface predictions from multimensional data analysis
Shane J. Prochnow et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2022)
A data-driven approach for the quick prediction of in-furnace phenomena of pulverized coal combustion in an ironmaking blast furnace
Yiran Liu et al.
CHEMICAL ENGINEERING SCIENCE (2022)
Development of data-driven filtered drag model for industrial-scale fluidized beds
Yundi Jiang et al.
CHEMICAL ENGINEERING SCIENCE (2021)
Coarse-grid simulations of full-loop gas-solid flows using a hybrid drag model: Investigations on turbulence models
Jun-Sen Li et al.
POWDER TECHNOLOGY (2021)
Analysis and development of homogeneous drag closure for filtered mesoscale modeling of fluidized gas-particle flows
Li-Tao Zhu et al.
CHEMICAL ENGINEERING SCIENCE (2021)
A scale-independent modeling method for filtered drag in fluidized gas-particle flows
Ming Jiang et al.
POWDER TECHNOLOGY (2021)
An improved algorithm for the maximal information coefficient and its application
Dan Cao et al.
ROYAL SOCIETY OPEN SCIENCE (2021)
Data-driven modeling of mesoscale solids stress closures for filtered two-fluid model in gas-particle flows
Bo Ouyang et al.
AICHE JOURNAL (2021)
Conventional and data-driven modeling of filtered drag, heat transfer, and reaction rate in gas-particle flows
Li-Tao Zhu et al.
AICHE JOURNAL (2021)
Neural Network-Based Model Reduction of Hydrodynamics Forces on an Airfoil
Hamayun Farooq et al.
FLUIDS (2021)
Scale and structure dependent drag in gas-solid flows
Xiaowen Liu et al.
AICHE JOURNAL (2020)
Verification and Validation of Spatially Averaged Models for Fluidized Gas-Particle Suspensions
Simon Schneiderbauer
CHEMICAL ENGINEERING & TECHNOLOGY (2020)
Techniques for Interpretable Machine Learning
Mengnan Du et al.
COMMUNICATIONS OF THE ACM (2020)
A dynamic anisotropic Spatially-Averaged Two-Fluid Model for moderately dense gas-particle flows
Stefanie Rauchenzauner et al.
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW (2020)
Machine learning to assist filtered two-fluid model development for dense gas-particle flows
Li-Tao Zhu et al.
AICHE JOURNAL (2020)
Application of machine learning methods to understand and predict circulating fluidized bed riser flow characteristics
Jia Wei Chew et al.
CHEMICAL ENGINEERING SCIENCE (2020)
Modeling of the filtered drag force in gas-solid flows via a deep learning approach
Yu Zhang et al.
CHEMICAL ENGINEERING SCIENCE (2020)
Effect of turbulence modeling on hydrodynamics of a turbulent contact absorber
Atta Ullah et al.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION (2020)
Do particle-related parameters influence circulating fluidized bed (CFB) riser flux and elutriation?
Jia Wei Chew et al.
CHEMICAL ENGINEERING SCIENCE (2020)
Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis
Amir Bahador Parsa et al.
ACCIDENT ANALYSIS AND PREVENTION (2020)
Machine learning for fast and reliable solution of time-dependent differential equations
F. Regazzoni et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
Neural-network-based filtered drag model for gas-particle flows
Yundi Jiang et al.
POWDER TECHNOLOGY (2019)
Development and verification of anisotropic drag closures for filtered Two Fluid Models
Jan Hendrik Cloete et al.
CHEMICAL ENGINEERING SCIENCE (2018)
Kinetic theory based multiphase flow with experimental verification
Dimitri Gidaspow et al.
REVIEWS IN CHEMICAL ENGINEERING (2018)
Toward Constitutive Models for Momentum, Species, and Energy Transport in Gas-Particle Flows
Sankaran Sundaresan et al.
ANNUAL REVIEW OF CHEMICAL AND BIOMOLECULAR ENGINEERING, VOL 9 (2018)
An effective three-marker drag model via sub-grid modeling for turbulent fluidization
Li-Tao Zhu et al.
CHEMICAL ENGINEERING SCIENCE (2018)
A comparative assessment of empirical and lattice Boltzmann method-based drag models for simulation of gas-solid flow hydrodynamics in a bubbling fluidized bed
Carlos M. Romero Luna et al.
PARTICUOLOGY (2017)
Towards filtered drag force model for non-cohesive and cohesive particle-gas flows
Ali Ozel et al.
PHYSICS OF FLUIDS (2017)
A Spatially-Averaged Two-Fluid Model for Dense Large-Scale Gas-Solid Flows
Simon Schneiderbauer
AICHE JOURNAL (2017)
Direct Numerical Simulations of Dynamic Gas-Solid Suspensions
Yali Tang et al.
AICHE JOURNAL (2016)
Filtered model for the cold-model gas-solid flow in a large-scale MTO fluidized bed reactor
Li-Tao Zhu et al.
CHEMICAL ENGINEERING SCIENCE (2016)
Filtered sub-grid constitutive models for fluidized gas-particle flows constructed from 3-D simulations
Avik Sarkar et al.
CHEMICAL ENGINEERING SCIENCE (2016)
On fluid-particle dynamics in fully developed cluster-induced turbulence
Jesse Capecelatro et al.
JOURNAL OF FLUID MECHANICS (2015)
Filtered and Heterogeneity-Based Subgrid Modifications for Gas-Solid Drag and Solid Stresses in Bubbling Fluidized Beds
Simon Schneiderbauer et al.
AICHE JOURNAL (2014)
EMMS-based discrete particle method (EMMS-DPM) for simulation of gas-solid flows
Liqiang Lu et al.
CHEMICAL ENGINEERING SCIENCE (2014)
A drag model for filtered Euler-Lagrange simulations of clustered gas-particle suspensions
Stefan Radl et al.
CHEMICAL ENGINEERING SCIENCE (2014)
Comparative Analysis of Subgrid Drag Modifications for Dense Gas-Particle Flows in Bubbling Fluidized Beds
Simon Schneiderbauer et al.
AICHE JOURNAL (2013)
Filtered two-fluid models of fluidized gas-particle flows: New constitutive relations
Christian C. Milioli et al.
AICHE JOURNAL (2013)
Lattice Boltzmann based discrete simulation for gas-solid fluidization
Limin Wang et al.
CHEMICAL ENGINEERING SCIENCE (2013)
A functional subgrid drift velocity model for filtered drag prediction in dense fluidized bed
Jean-Francois Parmentier et al.
AICHE JOURNAL (2012)
Constitutive Models for Filtered Two-Fluid Models of Fluidized Gas-Particle Flows
Yesim Igci et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2011)
Drag law for monodisperse gas-solid systems using particle-resolved direct numerical simulation of flow past fixed assemblies of spheres
S. Tenneti et al.
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW (2011)
A Correlation for the 21st Century
Terry Speed
SCIENCE (2011)
Detecting Novel Associations in Large Data Sets
David N. Reshef et al.
SCIENCE (2011)
Filtered two-fluid models for fluidized gas-particle suspensions
Yesim Igci et al.
AICHE JOURNAL (2008)
Drag force of intermediate Reynolds number flow past mono- and bidisperse arrays of spheres
R. Beetstra et al.
AICHE JOURNAL (2007)
The role of meso-scale structures in rapid gas-solid flows
K Agrawal et al.
JOURNAL OF FLUID MECHANICS (2001)