PLAID documentation

PLAID (Physics Informed AI Datamodel) is a library proposing an implementation for a datamodel tailored for AI and ML learning of physics problems. It has been developped at SafranTech, the research center of Safran group

The code is hosted on Safran Gitlab

Getting Started

• Getting Started
• Description

Advanced

• Contributing to PLAID

API Documentation

• Autoapi
• Basic examples
• Convert data into PLAID
• Default values flowchart

Going further

• CGNS standard
• Data Challenges

Indices and tables

• Index

• Module Index

• Search Page