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.

Installation

• MindSpore SciAI Installation

Launching Instruction

• Launching Model with Scripts
• Launching Model with API

Model Library

• Model Library

Tutorial

• Building Neural Networks with SciAI

API Reference

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

RELEASE NOTES

• Release Notes