Dharshannan Sugunan

Results 29 comments of Dharshannan Sugunan

Commit 10: Changed frontend ifftn function to include backend ivy.ifftn which was newly added.

> Hi, thanks for your PR! It seems to me that ivy.ifftn should handle wrong arguments on its own. So there is no need to do argument checks in the...

Commit 11: Removed argument checks and changed type casting from "ivy.array" to "ivy.asarray" to handle type casting more flexibly and efficiently.

Hi @martinjrobins I am working on a separate repository to implement Li-S models into PyBaMM (with @rtimms and @brosaplanella), these models are very unstable, the more recent model, with 3...

@martinjrobins I have sent an invite, the model that is problematic is the one called Cornish2021.py in the models folder.

![Image](https://github.com/user-attachments/assets/d9ced300-13b0-4d25-87aa-773091a576c1) ![Image](https://github.com/user-attachments/assets/20e0c4a8-44ac-4955-a0c6-972d494a8fb9) @martinjrobins this is what I get when running with my bespoke solver btw. The solver uses numpy and always recalculates the jacobian at every time step.

@martinjrobins I am using a modified newton raphson approach with adaptive time stepping using linesearch (and another ADHoc time stepping method that keeps track of the determinant magnitude of the...

@martinjrobins what would you advice in terms of tuning the IDA solver parameters, or just to deal with this instability in general?

I am running into the same problem. Here is a document of the model I want to implement: Here is my code: ``` import pybamm import matplotlib import importlib.util import...

UPDATE. I have fixed it and found a workaround, here is my code ``` import pybamm import matplotlib.pyplot as plt import importlib.util import numpy as np # TODO: Implement the...