Start here
This site covers a lot of ground. Use this page to find the right entry point for what you're actually trying to do.
What stage of research are you in?
Each entry points to the most useful starting resource for that stage.
You're new to a topic and want to understand it before diving into papers.
Searching, screening, and extracting from the academic literature.
Analyzing a dataset — visualization, statistics, or writing and debugging code.
Drafting, revising, managing references, or preparing a manuscript.
Designing experiments, optimizing conditions, or working in materials and chemistry.
Or: what are you looking for?
Find the right section of the site by what you need.
Filter 30+ AI tools by research stage, field, and pricing to find what fits your workflow.
Which tools matter for your discipline — climate science, chemistry, health, physics, and more.
Concrete walkthroughs for specific research tasks, with prompts and verification steps.
Plain-language definitions of AI terms that come up in scientific literature — from hallucination to DFT.
Monthly digests covering real developments in AI for science — sourced from lab releases and peer-reviewed papers.
Used AI in your own research? Submit your workflow to help other researchers skip the trial and error.
New to AI tools in research?
Start with the NotebookLM tutorial — it's the lowest barrier to entry of any tool on this site and demonstrates what grounded AI assistance looks like in practice. Then browse the field guide for your discipline to see which tools matter for your specific area of research.
If you encounter terms you don't recognize, the Glossary covers 25+ AI and domain-specific terms with plain-language definitions written for researchers, not ML engineers.