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NeuralDEM: field-based multibranch particulate-flow surrogates

Contribution grade

Learned particulate-flow simulation · Human-designed research method or resource

Reference score50,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Represented particle dynamics as continuous fields with coupled primary and auxiliary neural-operator branches, modeling granular transport observables and coupled CFD-DEM cases.

Scientific scope

Represented particle dynamics as continuous fields with coupled primary and auxiliary neural-operator branches, modeling granular transport observables and coupled CFD-DEM cases. Inherits UPT and numerical training data. Individual-particle properties and out-of-distribution rollouts remain difficult. Largest reported fluidized-bed speed is11seconds for3physical seconds, not real time; faster hopper cases differ. Training/data costs and simplified industrial test settings remain material.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Inherits UPT and numerical training data. Individual-particle properties and out-of-distribution rollouts remain difficult. Largest reported fluidized-bed speed is11seconds for3physical seconds, not real time; faster hopper cases differ. Training/data costs and simplified industrial test settings remain material.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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