AI for Science: Reinventing How Research Gets Done

Your "Science OS" – bake AI into every step of your research journey.

Understand Scientific Data

Go deep into common data types, decoding equations and research figures with precision.

Analyze Literature Smarter

Summarize papers, track citations, map research landscapes, and extract key tech pathways – all in one place.

Generate Scholarly Reviews

Turn thousands of papers into structured outlines, and get full-length reviews (up to 40k words) in seconds.

Integrate Scientific Tools

Streamline specialized computing workflows and bring cross-disciplinary tools together for better collaboration.

Powerful Research Ecosystem

ScienceOne powers tailored systems to meet research need.

S1-Literature

Empowers researchers to deep-dive into papers, craft reviews, and refine research topics & technical approaches.

  • Streamlines research discovery: fueled by 170M global scientific documents, it automatically crafts search logic to pinpoint research frontiers in just 20 minutes.
  • Simplifies literature mastery: decodes scientific formulas & specialized language, making document content and technical trajectories easier to grasp.
  • Accelerates review creation: automatically constructs review frameworks, processes 1000+ papers, and delivers 40k words comprehensive reviews in 6 hours.
  • Offers a research lifecycle-integrated citation network, reassessing the innovation and impact of research outputs from your perspective.
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Literature System Interface

S1-Literature· Featured Cases

ToolChain System Interface

S1-ToolChain

An intelligent tool orchestration platform for scientific research, supporting flexible task composition and end-to-end automated execution.

  • Covers the entire scientific research workflow, supporting scientific data understanding, logical reasoning, experimental scheme orchestration, and task management.
  • Integrates 300+ scientific tools and 30+ professional models, suitable for multiple stages such as data processing, model training, and feature analysis.
  • Supports integration of custom tools and agents based on standard protocols, and has been applied in 10+ research scenarios including digital cell biology and materials science.
  • Provides high-performance resource scheduling and reproducible computational environments, ensuring stable execution of large-scale and complex scientific research tasks.
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Tool Scheduler · Preset Cases

Digital Cell
Digital Cell Biology

Conducts agent-driven protein interaction computation and simulation, advancing the automation of drug target discovery.

Particle Physics Analysis
Particle Physics Analysis

Performs automated analysis of particle physics experiments, enhancing both discovery potential and research efficiency.

Crystal Material Generation and Design
Crystalline Materials Generation and Design

Supports crystal structure generation and performance prediction, driving optimization and experimental validation of new materials.

Spectral Data Understanding
Spectral Data Interpretation

Delivers accurate mapping from spectral signals to microscopic structures, covering mass spectrometry, spectroscopy, and nuclear magnetic resonance.

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