Lu Group
Lu Group, Department of Statistics and Data Science, Yale University
United States of America
Pinned Repositories
deeponet-extrapolation
DeepONet extrapolation
deeponet-fno
DeepONet & FNO (with practical extensions)
fourier-deeponet-fwi
Fourier-DeepONet for FWI
fourier-mionet-gcs
Fourier-enhanced multiple-input neural operators
gpinn
gPINN: Gradient-enhanced physics-informed neural networks
mionet
MIONet: Learning multiple-input operators via tensor product
mixed-precision-sciml
Mixed precision scientific machine learning
pinn-sampling
Non-adaptive and residual-based adaptive sampling for PINNs
pinn-thrombus-mri
Transfer learning on PINNs for tracking hemodynamics
sbinn
SBINN: Systems-biology informed neural network
Lu Group's Repositories
lu-group/deeponet-fno
DeepONet & FNO (with practical extensions)
lu-group/gpinn
gPINN: Gradient-enhanced physics-informed neural networks
lu-group/pinn-sampling
Non-adaptive and residual-based adaptive sampling for PINNs
lu-group/sbinn
SBINN: Systems-biology informed neural network
lu-group/mionet
MIONet: Learning multiple-input operators via tensor product
lu-group/multifidelity-deeponet
Multifidelity DeepONet
lu-group/deeponet-extrapolation
DeepONet extrapolation
lu-group/pinn-material-identification
Physics-informed neural networks for identifying material properties in solid mechanics
lu-group/fourier-deeponet-fwi
Fourier-DeepONet for FWI
lu-group/pinn-thrombus-mri
Transfer learning on PINNs for tracking hemodynamics
lu-group/fourier-mionet-gcs
Fourier-enhanced multiple-input neural operators
lu-group/mixed-precision-sciml
Mixed precision scientific machine learning
lu-group/pinn-macro-finance
Deep learning for solving and estimating dynamic macro-finance models
lu-group/nested-fourier-deeponet-gcs-3d
Nested Fourier-DeepONet for 3D geological carbon sequestration
lu-group/pinn-heterogeneous-material
Identifying heterogeneous mechanical properties using PINNs