pnnl/glad

Smith, Ian [@pnnl]; Fierce, Laura [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]; Minutoli, Marco [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]; Halappanavar, Mahantesh [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]; Ferracina, Fabiana [Washington State Univ., Pullman, WA (United States)]

doi:10.11578/dc.20250307.2

DOE OSTI · code-152410

pnnl/glad

Smith, Ian [@pnnl]·Fierce, Laura [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]·Minutoli, Marco [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]·Halappanavar, Mahantesh [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]·Ferracina, Fabiana [Washington State Univ., Pullman, WA (United States)]

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Abstract

The Graph-based Learning of Aerosol Dynamics (GLAD) package implements a Graph Network-based Simulator (GNS), a machine learning framework that has been used to simulate particle-based fluid dynamics models

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Smith, Ian [@pnnl], Fierce, Laura [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Minutoli, Marco [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Halappanavar, Mahantesh [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Ferracina, Fabiana [Washington State Univ., Pullman, WA (United States)]. 2025-03-07. pnnl/glad. https://doi.org/10.11578/dc.20250307.2

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