NeuralDEM: Pioneering High-Performance Simulation of Large-Scale Particulate Systems with Multi-Branch Neural Operator Architectures

Developments in simulating particulate flows have significantly impacted industries ranging from mining to pharmaceuticals. Particulate systems consist of granular materials interacting with each other and surrounding fluids, and their accurate modeling is critical for optimizing processes. However, traditional numerical methods like the Discrete Element Method (DEM) face substantial computational limitations. These methods track particle movements […]

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