Research graph
References from Learning to coarse-grain: An adaptive multiscale graph-network operator for continuum fields from discrete element simulations. Local targets link to admitted publications; unresolved targets remain external evidence.
A discrete numerical model for granular assemblies
10.1680/geot.1979.29.1.47 · 1979 · External reference
Simulation of stress energy and grinding media movement within a wet-operated annular-gap mill using the discrete-element method
10.1002/ceat.201200116 · 2012 · External reference
Kinematics and dynamics behaviour of milling media in vertical spiral stirred mill based on DEM-CFD coupling
10.3390/min16010024 · 2025 · External reference
Investigating the impact of impeller geometry for a stirred mill using the discrete element method: Effect of pin number and thickness
10.1016/j.powtec.2023.118810 · 2023 · External reference
Analysis of stirred mill performance using DEM simulation: Part 1–Media motion, energy consumption and collisional environment
10.1016/j.mineng.2006.08.012 · 2006 · External reference
Development of an accurate coarse-grained model of poly (acrylic acid) in explicit solvents
10.1021/acs.macromol.9b00615 · 2019 · External reference
A particle location based multi-level coarse-graining technique for discrete element method (DEM) simulation
10.1016/j.powtec.2021.117058 · 2022 · External reference
Constructing coarse-grained models with physics-guided Gaussian process regression
2024 · External reference
Mill selection and process optimization using a physical grinding model
10.1016/j.minpro.2004.07.027 · 2004 · External reference
Morphology study of particle breakage mechanisms in a horizontal stirred mill: Automated and manual point counting approaches
2021 · External reference
Stress energy distribution in different stirred media mill geometries
10.1016/j.minpro.2004.07.003 · 2004 · External reference
Stress, stress asymmetry and couple stress: from discrete particles to continuous fields
10.1007/s10035-010-0181-z · 2010 · External reference
From discrete particles to continuum fields near a boundary
10.1007/s10035-012-0317-4 · 2012 · External reference
Coarse-grained local and objective continuum description of three-dimensional granular flows down an inclined surface
10.1063/1.4812809 · 2013 · External reference
From discrete element simulations towards a continuum description of particulate solids
10.1016/s0167-3785(01)80006-3 · 2001 · External reference
Basic of contact force models and how to perform the micro-macro transition to continuum theory
1997 · External reference
Scale separation in granular packings: stress plateaus and fluctuations
10.1103/physrevlett.96.168001 · 2006 · External reference
Scale dependence, correlations, and fluctuations of stresses in rapid granular flows
10.1063/1.1338543 · 2001 · External reference
Learning to simulate complex physics with graph networks
2020 · External reference
Graph neural network-based surrogate model for granular flows
10.1016/j.compgeo.2023.106015 · 2024 · External reference
Robust prediction of force chains in jammed solids using graph neural networks
10.1038/s41467-022-31732-3 · 2022 · External reference
A microstructure-based graph neural network for accelerating multiscale simulations
10.1016/j.cma.2024.117001 · 2024 · External reference
Micro-and macroscopic aspects of the intermittent behaviors of granular materials related by graph neural network
10.1016/j.ijsolstr.2022.111763 · 2022 · External reference
Geometric learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity
10.1016/j.cma.2022.115768 · 2023 · External reference
Towards scientific machine learning for granular material simulations: Challenges and opportunities: M. Fransen et al
10.1007/s11831-025-10322-8 · 2026 · External reference
Ueber die Berührung fester elastischer körper
10.1515/crll.1882.92.156 · 1882 · External reference
Compliance of elastic bodies in contact
10.1115/1.4009973 · 1949 · External reference
Stress distribution and analysis in a vertical stirred mill: A multiscale analysis
10.1016/j.powtec.2026.122946 · 2026 · External reference
Simulation of stress energy and grinding media movement within a wet-operated annular-gap mill using the discrete-element method
10.1002/ceat.201200116 · ExternalCitation · doi-reference
Stress, stress asymmetry and couple stress: from discrete particles to continuous fields
10.1007/s10035-010-0181-z · ExternalCitation · doi-reference
From discrete particles to continuum fields near a boundary
10.1007/s10035-012-0317-4 · ExternalCitation · doi-reference
Towards scientific machine learning for granular material simulations: Challenges and opportunities: M. Fransen et al
10.1007/s11831-025-10322-8 · ExternalCitation · doi-reference
Geometric learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity
10.1016/j.cma.2022.115768 · ExternalCitation · doi-reference
A microstructure-based graph neural network for accelerating multiscale simulations
10.1016/j.cma.2024.117001 · ExternalCitation · doi-reference
Graph neural network-based surrogate model for granular flows
10.1016/j.compgeo.2023.106015 · ExternalCitation · doi-reference
Micro-and macroscopic aspects of the intermittent behaviors of granular materials related by graph neural network
10.1016/j.ijsolstr.2022.111763 · ExternalCitation · doi-reference
Analysis of stirred mill performance using DEM simulation: Part 1–Media motion, energy consumption and collisional environment
10.1016/j.mineng.2006.08.012 · ExternalCitation · doi-reference
Stress energy distribution in different stirred media mill geometries
10.1016/j.minpro.2004.07.003 · ExternalCitation · doi-reference
Mill selection and process optimization using a physical grinding model
10.1016/j.minpro.2004.07.027 · ExternalCitation · doi-reference
A particle location based multi-level coarse-graining technique for discrete element method (DEM) simulation
10.1016/j.powtec.2021.117058 · ExternalCitation · doi-reference
Investigating the impact of impeller geometry for a stirred mill using the discrete element method: Effect of pin number and thickness
10.1016/j.powtec.2023.118810 · ExternalCitation · doi-reference
Stress distribution and analysis in a vertical stirred mill: A multiscale analysis
10.1016/j.powtec.2026.122946 · ExternalCitation · doi-reference
From discrete element simulations towards a continuum description of particulate solids
10.1016/s0167-3785(01)80006-3 · ExternalCitation · doi-reference
Development of an accurate coarse-grained model of poly (acrylic acid) in explicit solvents
10.1021/acs.macromol.9b00615 · ExternalCitation · doi-reference
Robust prediction of force chains in jammed solids using graph neural networks
10.1038/s41467-022-31732-3 · ExternalCitation · doi-reference
Scale dependence, correlations, and fluctuations of stresses in rapid granular flows
10.1063/1.1338543 · ExternalCitation · doi-reference
Coarse-grained local and objective continuum description of three-dimensional granular flows down an inclined surface
10.1063/1.4812809 · ExternalCitation · doi-reference
Scale separation in granular packings: stress plateaus and fluctuations
10.1103/physrevlett.96.168001 · ExternalCitation · doi-reference
Compliance of elastic bodies in contact
10.1115/1.4009973 · ExternalCitation · doi-reference
Ueber die Berührung fester elastischer körper
10.1515/crll.1882.92.156 · ExternalCitation · doi-reference
A discrete numerical model for granular assemblies
10.1680/geot.1979.29.1.47 · ExternalCitation · doi-reference
Kinematics and dynamics behaviour of milling media in vertical spiral stirred mill based on DEM-CFD coupling
10.3390/min16010024 · ExternalCitation · doi-reference
