"From scientists, for scientists."
"From scientists, for scientists."
AI Copilot for Science, experts in information collection and writing.
👋 Hello scientists! What kind of paper do you want?
🧐 Provide some keywords based on your discipline, current research topics and interest, etc.
📝 Here are some references:
Ultron: Copilot for Science
A full-discipline LLM
Integrate billions of basic academic data, covering papers, scholars, conferences, charts, patents, funds, etc. Committed helping process multi-dimensional information more efficiently and addressing information overload. Powerful assistant for innovative work.
Chinese Literature
Literature
Expert & Scholar
Conference Report
Chart
Patent
Data set
Policy Document
Project
Clinical Experiment
Innovation
Instrument & Reagent
“念哉典学,思睿观通。有文有质,有农有工。”
From natural sciences to liberal arts, from Chinese to foreign, CatalystPlus is committed to helping scientist and using AI to accelerate all disciplines!
The quote comes from the school song of Zhejiang University, which means: For book learning, you need to think deeply and see all disciplines, including culture, sports, agriculture, industry, and commerce.
Click directly on the above list for quick search
Subscribe to journals of interest and receive the latest push.
The database is optimizing and improved to expand in all disciplines.
Use double-layer encryption technology to protect data
Google Scholar, ScienceDirect and more can be quickly jumped
Customize calendar memos, to-do items and others in QiuShi Platform
IM is in developing, discussing while reading is coming soon~
If you have any product-related suggestions. Welcome feedback and build together. We pay attention to every demand. Continuous improvement for better experience.
Focus on construction and sharing of global academic knowledge.
The social system is coming soon, stay tuned
Change
AI drives change scientific research
Accelerate
Accelerate research for every scientist
Advance
Advance an open research ecosystem
Core members of our team are mainly from Zhejiang University, China. We hope that by lowering the barriers to access the latest global research results and by reducing the execution costs of data integration processing throughout the research lifecycle, researchers can focus on what really important, so that they can efficiently conduct groundbreaking research.