Introduction to SciAI
=====================

Based on MindSpore, SciAI is a model library with 60 built-in most frequently used and cited AI4Sci(AI for Science) models, which cover SOTA models from physics-informed (PINNs, DeepRitz, PFNN, etc.) to neural operators (FNO, DeepONet, PDENet), ranking No.1 in the world in terms of coverage.
MindSpore SciAI provides the developers and users with a high-level API (auto configuration, auto instantiation, training and fine-tuning, etc.), allowing an immediate deployment.
With these features, MindSpore SciAI covers a wide variety of scientific computation fields, including fluid dynamics, electromagnetism, sound, heat, solid and biology, providing developers and users with an efficient and convenient AI4SCI computation platform.

.. raw:: html

   <img src="https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/master/docs/sciai/docs/source_en/images/architecture.png" width="600px" alt="" >

.. toctree::
   :maxdepth: 1
   :caption: Installation

   installation

.. toctree::
   :maxdepth: 1
   :caption: Launching Instruction

   launch_with_scripts
   launch_with_api

.. toctree::
   :maxdepth: 1
   :caption: Model Library

   model_library

.. toctree::
   :maxdepth: 1
   :caption: Tutorial

   build_model_with_sciai

.. toctree::
   :maxdepth: 1
   :caption: API Reference

   sciai.architecture
   sciai.common
   sciai.context
   sciai.operators
   sciai.utils

.. toctree::
   :glob:
   :maxdepth: 1
   :caption: RELEASE NOTES

   RELEASE