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GT (VoxelFEM)

  • bridge
  • cantilever flexion E

bridge:

python3 training/train_voxelfem.py --grid "[320, 160, 80]" --prob "problems/3d/bridge.json" --mgl 3 --iter 5000 --optim "OC" --v0 "0.4"

cantilever_flexion_e

python3 training/train_voxelfem.py --grid "[256, 128, 128]" --prob "problems/3d/cantilever_flexion.json" --mgl 3 --iter 5000 --optim "OC" --v0 "0.5"

FF (Explicit Design Representation Network)

  • bridge, s=1.0
  • bridge, s=2.5
  • cantilever flexion E, s=4.0

bridge, s=1.0

python3 training/train_xdg.py --grid "[320, 160, 80]" --prob "problems/3d/bridge.json" --mgl 3 --iter 5000 --v0 "0.4" --es 1024 --nn 512 --nl 4 --sigma 1.0 --cs 100

bridge, s=2.5

python3 training/train_xdg.py --grid "[320, 160, 80]" --prob "problems/3d/bridge.json" --mgl 3 --iter 5000 --v0 "0.4" --es 1024 --nn 512 --nl 4 --sigma 2.5 --cs 100

cantilever flexion E, s=4.0

python3 training/training/train_xdg.py --grid "[256, 128, 128]" --prob "problems/3d/cantilever_flexion.json" --mgl 3 --iter 5000 --v0 "0.5" --es 1024 --nn 512 --nl 4 --sigma 4.0 --cs 100