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njzjz merged 1 commit into from
Dec 22, 2025
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docs: update DeepModeling domain to deepmodeling.com #5111

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4 changes: 2 additions & 2 deletions doc/getting-started/quick_start.ipynb
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Expand Up @@ -89,7 +89,7 @@
"\n",
"<img src=\"https://bohrium-example.oss-cn-zhangjiakou.aliyuncs.com/notebook/static/mdkit/DPMD_Time_and_Size_Scales.svg\" alt=\"Fig1\" style=\"zoom: 75%;\">\n",
"\n",
"For more detailed usage, you can refer to the [DeePMD-kit’s documentation](https://docs.deepmodeling.org/projects/deepmd/en/master/index.html) as a comprehensive reference.\n",
"For more detailed usage, you can refer to the [DeePMD-kit’s documentation](https://docs.deepmodeling.com/projects/deepmd/en/master/index.html) as a comprehensive reference.\n",
"\n",
"In this case, the Deep Potential (DP) model was generated using the **DeePMD-kit package**.\n",
"\n"
Expand Down Expand Up @@ -638,7 +638,7 @@
"id": "7b0edb0f-df47-4e6c-8c37-5f32c4bd6b39",
"metadata": {},
"source": [
"More detailed docs about Data conversion can be found [here](https://docs.deepmodeling.org/projects/deepmd/en/master/data/data-conv.html)"
"More detailed docs about Data conversion can be found [here](https://docs.deepmodeling.com/projects/deepmd/en/master/data/data-conv.html)"
]
},
{
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8 changes: 4 additions & 4 deletions doc/install/install-from-source.md
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Expand Up @@ -52,7 +52,7 @@ If one does not need the GPU support of DeePMD-kit and is concerned about packag
pip install --upgrade tensorflow-cpu
```

One can also [use conda](https://docs.deepmodeling.org/faq/conda.html) to install TensorFlow from [conda-forge](https://conda-forge.org).
One can also [use conda](https://docs.deepmodeling.com/faq/conda.html) to install TensorFlow from [conda-forge](https://conda-forge.org).

To verify the installation, run

Expand All @@ -74,7 +74,7 @@ pip install torch

Follow [PyTorch documentation](https://pytorch.org/get-started/locally/) to install PyTorch built against different CUDA versions or without CUDA.

One can also [use conda](https://docs.deepmodeling.org/faq/conda.html) to install PyTorch from [conda-forge](https://conda-forge.org).
One can also [use conda](https://docs.deepmodeling.com/faq/conda.html) to install PyTorch from [conda-forge](https://conda-forge.org).

:::

Expand All @@ -89,7 +89,7 @@ pip install jax-ai-stack
One can also install packages in JAX AI Stack manually.
Follow [JAX documentation](https://jax.readthedocs.io/en/latest/installation.html) to install JAX built against different CUDA versions or without CUDA.

One can also [use conda](https://docs.deepmodeling.org/faq/conda.html) to install JAX from [conda-forge](https://conda-forge.org).
One can also [use conda](https://docs.deepmodeling.com/faq/conda.html) to install JAX from [conda-forge](https://conda-forge.org).

:::

Expand Down Expand Up @@ -383,7 +383,7 @@ pip install -U cmake

You must enable at least one backend.
If you enable two or more backends, these backend libraries must be built in a compatible way, e.g. using the same `_GLIBCXX_USE_CXX11_ABI` flag.
We recommend using [conda packages](https://docs.deepmodeling.org/faq/conda.html) from [conda-forge](https://conda-forge.org), which are usually compatible to each other.
We recommend using [conda packages](https://docs.deepmodeling.com/faq/conda.html) from [conda-forge](https://conda-forge.org), which are usually compatible to each other.

::::{tab-set}

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