<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> This repository is a comprehensive, curated list of AI tools, libraries, papers, datasets, and frameworks designed to accelerate scientific discovery across diverse disciplines. It serves as a central hub for researchers seeking to leverage artificial intelligence in fields ranging from physics and chemistry to biology, materials science, and climate modeling, aiming to streamline the adoption of cutting-edge AI technologies in scientific research.

How It Works

The project functions as a structured directory, meticulously organizing a vast array of AI-related resources. It categorizes tools, papers, datasets, and frameworks into logical sections such as "AI Tools for Research," "Scientific Machine Learning," "Foundation Models for Science," and domain-specific applications. This hierarchical organization facilitates efficient navigation and discovery of relevant AI advancements for scientific endeavors.

Quick Start & Requirements

This repository is a curated list of resources and does not involve direct installation or execution. Users can browse the categorized links to discover relevant AI tools, papers, and datasets.

Highlighted Details

• Autonomous Research Systems: Features a significant section on "Research Agents & Autonomous Workflows," highlighting systems like "The AI Scientist" and "DeepScientist" that aim for fully automated scientific discovery cycles, from hypothesis generation to writing and review.
• Scientific Document Processing: A comprehensive collection of tools for parsing scientific PDFs, converting them to structured formats (Markdown, JSON), and extracting figures, tables, and formulas, with mentions of SOTA models like MinerU and Nougat.
• Foundation Models for Science: Covers specialized foundation models and LLMs tailored for scientific domains, including biology (e.g., ESM, Galactica), chemistry (e.g., ChemGPT), and general scientific reasoning (e.g., MinervaAI).
• Emerging Trends: The "Key Insights" section points to a current focus on shifting from tool-level assistance to autonomous scientific agents and the rise of multi-modal scientific models.

Maintenance & Community

The repository was last updated in "October 2025 - Enhanced with 2024-2025 breakthroughs in autonomous research, document parsing, and scientific agents," indicating recent activity and a focus on cutting-edge developments. It welcomes contributions and provides guidelines for adding new resources.

Licensing & Compatibility

The project is licensed under the MIT License, which is permissive and generally compatible with commercial use and closed-source linking.

Limitations & Caveats

As a curated list, the primary "limitation" is the breadth of information; users must navigate and evaluate the vast number of resources presented. The rapid evolution of AI means the list requires continuous updates to remain comprehensive and current. Some listed tools and papers may be in alpha or research stages, requiring further validation for production use.