activity
20182026
most citedA comparative study of physics-informed neural network models for learning unknown dynamics and constitutive relations

34 citations · 66 across the 38 of their papers we have counts for

collaborators
Showing physics.ao-phShow all

1 paper · 1 filter

physics.ao-ph2026

Assessing Emulator Design and Training for Modal Aerosol Microphysics Parameterizations in E3SMv2

Shady E. Ahmed, Hui Wan, Saad Qadeer +5

Toward the goal of using Scientific Machine Learning (SciML) emulators to improve the numerical representation of aerosol processes in global atmospheric models, we explore the emu…