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**Description**
let's imagine that we have the following
~~~json
{
"problem_data" : {
"start_time" : 0.0,
"end_time" : 1.0
}
"other_settings" : {
"end_ti…
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Dear sir, I try to sove a case, flowing around the square column, but the solution is incorrect, I hope you can provide some help, my code is as follows:
import numpy as np
from deepxde.gradients im…
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Hi PhysioNet experts,
I am new with this toolbox. Our lab collected some PPG data, each condition lasts for 5-8 mins. However, when I used the parameters below to replace some default parameters, i…
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Issue created to discuss Eurus testing & corrections.
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Hi Dr.Lu,
Thank you very much for sharing and answering. I am trying to simulate a system of equations and solve it by DeepXDE. However I meet a problem. In order to briefly, I give the picture and …
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I learned the hard bc of example diffusion_1d_exactBC, and your paper:PHYSICS-INFORMED NEURAL NETWORKS WITH HARD
CONSTRAINTS FOR INVERSE DESIGN∗, but I still can not apply hard bc to to other problem…
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It would be useful to have metrics like
* CPU/Memory usage, relative to requests/limits, so we can see if we need to tune these
* How much capacity we have left, so we can see if we need to scale ou…
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### Discussed in https://github.com/lululxvi/deepxde/discussions/1064
Originally posted by **m-ayyad** December 3, 2022
I am trying to do an inverse PINN to predict a parameter in the integra…
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### 请提出你的问题 Please ask your question
关于deepxde中常微分方程的反问题:
1. 常微分方程的自变量只有时间t,如geom = dde.geometry.TimeDomain(0, 60),但是输入神经网络时候,进行了输入输出变量的变换,把原始输入0-60的t变成了0-1,这个不一致是否会有影响?
2. 因变量有三个,但是可观测的因变量只有一个,这样是…