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* add bubble datafile test=develop * add bubble code test=develop * add bubble code test=develop * add bubble code test=develop * add bubble code * add bubble data * add bubble code * delete mat file * delete mat file * bubble code * delete mat file * add some modify * add some modifications * add some modifications * add some modifications * add some modifications * add some modification * add some modification * add some modification * add some modification * add some modification * add some modification(test=document_fix) * add some modification * add some modification * add some modification * add some modification * add some code test=develop * add some code test=develop * add some code test=develop * add some code test=develop * add some code test=develop * add some code test=develop * add some code test=develop * add some code test=develop
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- PrecipNet | ||
- UNetEx | ||
- NowcastNet | ||
- HEDeepONets | ||
show_root_heading: true | ||
heading_level: 3 |
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- PDE | ||
- FractionalPoisson | ||
- Biharmonic | ||
- HeatExchanger | ||
- Laplace | ||
- LinearElasticity | ||
- NavierStokes | ||
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hydra: | ||
run: | ||
# dynamic output directory according to running time and override name | ||
dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}/${hydra.job.override_dirname} | ||
job: | ||
name: ${mode} # name of logfile | ||
chdir: false # keep current working direcotry unchanged | ||
config: | ||
override_dirname: | ||
exclude_keys: | ||
- TRAIN.checkpoint_path | ||
- TRAIN.pretrained_model_path | ||
- EVAL.pretrained_model_path | ||
- mode | ||
- output_dir | ||
- log_freq | ||
sweep: | ||
# output directory for multirun | ||
dir: ${hydra.run.dir} | ||
subdir: ./ | ||
|
||
# general settings | ||
mode: train # running mode: train/eval | ||
seed: 42 | ||
output_dir: ${hydra:run.dir} | ||
log_freq: 20 | ||
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||
# set working condition | ||
DL: 1.0 # lenth of the domain | ||
cp_c: 1.0 # specific heat capacity of cold boundary | ||
cp_h: 1.0 # specific heat capacity of hot boundary | ||
cp_w: 1.0 # specific heat capacity of wall | ||
v_h: 1.0 # flow rate of hot boundary | ||
v_c: 1.0 # flow rate of cold boundary | ||
alpha_h: 1.0 # surface efficiency*heat transfer coefficient*heat transfer area of hot boundary | ||
alpha_c: 1.0 # surface efficiency*heat transfer coefficient*heat transfer area of cold boundary | ||
L: 1.0 # flow length | ||
M: 1.0 # heat transfer structural quality | ||
T_hin: 10.0 # initial temperature of hot boundary | ||
T_cin: 1.0 # initial temperature of cold boundary | ||
T_win: 5.5 # initial temperature of wall | ||
NTIME: 20 # number of time steps | ||
NPOINT: 101 # number of points in the domain | ||
NQM: 60 # Number of branch network samples | ||
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||
# model settings | ||
MODEL: | ||
heat_input_keys: ['qm_h'] | ||
cold_input_keys: ['qm_c'] | ||
trunk_input_keys: ["x",'t'] | ||
output_keys: ["T_h",'T_c','T_w'] | ||
heat_num_loc: 1 | ||
cold_num_loc: 1 | ||
num_features: 100 | ||
branch_num_layers: 9 | ||
trunk_num_layers: 6 | ||
branch_hidden_size: 256 | ||
trunk_hidden_size: 128 | ||
branch_activation: "swish" | ||
trunk_activation: "swish" | ||
use_bias: True | ||
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||
# training settings | ||
TRAIN: | ||
epochs: 20000 | ||
iters_per_epoch: 1 | ||
eval_during_train: true | ||
eval_freq: 1000 | ||
learning_rate: 0.001 | ||
batch_size: 1000 | ||
weight: | ||
left_sup_constraint: | ||
T_h: 20 | ||
right_sup_constraint: | ||
T_h: 20 | ||
interior_sup_constraint: | ||
heat_boundary: 1 | ||
cold_boundary: 1 | ||
wall: 20 | ||
initial_sup_constraint: | ||
T_h: 1 | ||
T_c: 1 | ||
T_w: 20 | ||
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||
# evaluation settings | ||
EVAL: | ||
pretrained_model_path: null | ||
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# visualization settings | ||
qm_h: 1 | ||
qm_c: 1 |
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