Software:ScienceOne
 | |
| Developer(s) | Chinese Academy of Sciences |
|---|---|
| Initial release | 2025 |
| Website | www |
ScienceOne, also known as Panshi (磐石), is an artificial intelligence platform for scientific research developed by the Chinese Academy of Sciences (CAS) and its Institute of Automation.[1] It can review scientific literature, analyse research data, and select and coordinate specialised software for multistep research tasks.[1][2]
ScienceOne models are used in fields ranging from mathematics and physics to biology, astronomy, materials science and environmental science.[3]
History
ScienceOne was introduced in April 2025. Its initial tools included S1-Literature, a scientific literature assistant, and S1-ToolChain, which coordinates research software.[1][2] The Panshi scientific foundation model was presented at the World Artificial Intelligence Conference on 26 July 2025.[4] Version 1.5 came out in November 2025 and added tools for evaluating research ideas.[5]
ScienceOne 100 was released in April 2026, bringing the foundation model together with eight field-specific models.[3] In July 2026, CAS released Panshi 2.0.[6]
Features
ScienceOne combines general-purpose AI models with models designed for scientific tasks. Its S1-Base models are based on Qwen.[1]
S1-Literature is designed for analysing scientific papers, tracing citations and preparing literature reviews.[2]
Panshi 2.0 brings different types of scientific data into a common representation. Reported uses include predicting chemical properties or inferring molecular structures.[6]
Applications
Reported uses include analysing particle-physics experiments, studying materials, processing astronomical observations and modelling fluid flow.[4][3] According to CAS, the Panshi model system had been deployed across more than 50 of its units by April 2026.[3]
The Shanghai Advanced Research Institute developed ScienceOne–Yuheng, a carbon-accounting system that measures and attributes greenhouse gas emissions.[3][7]
See also
- Artificial intelligence in science
References
- ↑ 1.0 1.1 1.2 1.3 강호준; 유재흥 (2025-09-12) (in ko). 과학을 위한 AI(AI4Science) 연구의 패러다임을 바꾸다 (Report). Software Policy & Research Institute. pp. 26–27. https://spri.kr/file_html/is208/index.html.
- ↑ 2.0 2.1 2.2 "Chinese Institute Launches AI-powered Research Platform "ScienceOne"". Hunan Government Website. Xinhua. 2025-05-07. https://enghunan.gov.cn/hneng/News/Text_News/202505/t20250507_33662615.html.
- ↑ 3.0 3.1 3.2 3.3 3.4 孙自法 (2026-04-28). "中国“磐石100”模型体系发布 AI赋能八学科大模型“八仙过海”" (in zh). China News Service. https://www.chinanews.com.cn/gn/2026/04-28/10612192.shtml.
- ↑ 4.0 4.1 孙自法 (2025-07-26). "开启科研无限可能 中国团队发布“磐石·科学基础大模型”" (in zh). China News Service. https://www.chinanews.com.cn/gn/2025/07-26/10454068.shtml.
- ↑ 陆成宽 (2025-11-10). "“磐石V1.5：一站式科研平台”发布" (in zh). Science and Technology Daily. https://www.cas.cn/cm/202511/t20251110_5087982.shtml.
- ↑ 6.0 6.1 "中国のAI for Science政策、国内各地で具体化 ―各地で進む計画と科学研究基盤の整備―" (in ja). AI for Science Spotlights. Japan Science and Technology Agency. 2026-09-18. https://www.jst.go.jp/crds/column/kaisetsu/shortreport7.html.
- ↑ Bela, Victoria (2026-04-22). "How China’s new AI carbon accounting model points the finger at the US". South China Morning Post. https://www.scmp.com/news/china/science/article/3351009/how-chinas-new-ai-carbon-accounting-model-points-finger-us.
External links
 |  |
