SciMate-AI 是复旦学生自发发起并运营的科研技术组织，聚焦 AI for Science (AI4S) 前沿方向，致力于探索人工智能如何重塑科学研究范式，并推动科研生产力的自动化、智能化与规模化。

我们关注并持续建设以下核心领域：

• Scientific Machine Learning (SciML)
  将机器学习与数值计算、物理建模、偏微分方程求解深度融合。

• Multi-Agent AI Scientist
  构建具备协作、规划、实验、分析与论文生成能力的智能科研体系统。

• AI + High Performance Computing (HPC)
  利用 AI 自动化 HPC 工作流，包括任务调度、资源优化、集群编排、科学计算加速与容错恢复。

• Neural Operators & Scientific Foundation Models
  推进神经算子、PDE surrogate models、物理场预测与下一代科学基础模型发展。

SciMate-AI 目前围绕 AI4S 与科研基础设施开展开源实践，包括：

面向科研计算软件构建 AI Agent 技能库，例如 OpenFOAM 工作流自动化能力，支持：

• CFD case 自动生成
• 参数检查与调试
• 并行计算部署
• 集群运行恢复
• 科研软件智能调用

相关项目已公开，如 OpenFOAM Agent Skill，链接：https://github.com/SciMate-AI/HPC-Skills

我们探索让 AI 不只是“辅助写代码”，而是真正参与：

• 文献调研
• 假设生成
• 实验设计
• 数值模拟
• 数据分析
• 结果复现
• 科研写作

采用 Multi-Agent 架构，相关项目链接：https://github.com/SciMate-AI/SciCLI

我们希望连接更多学生、研究者与工程师，共同推动青年开发者在 AI4Science 浪潮中的开源贡献。

未来科研将不再是孤立的人类劳动，而是：

Human Scientists + AI Scientists + Autonomous Compute Systems

SciMate-AI 希望成为这一变革中的青年力量，打造下一代科研操作系统。

我们欢迎对这些领域感兴趣的朋友:

• AI4Science
• 科学计算
• HPC 基础设施
• AI Agents
• 神经算子
• 开源研究工具

GitHub 仓库: https://github.com/SciMate-AI Discord 群组：https://discord.gg/wBqjxxRCvp

SciMate-AI is an independent student-led organization founded and operated by students from Fudan University.

We focus on AI for Science (AI4S) and aim to build technologies that transform how scientific research is conducted — making it more automated, intelligent, scalable, and efficient.

Our major interests include:

• Scientific Machine Learning (SciML)
  Integrating machine learning with numerical simulation, physics modeling, and differential equation systems.

• Multi-Agent AI Scientist Systems
  Building autonomous research agents capable of planning, collaboration, experimentation, analysis, and scientific writing.

• AI for High Performance Computing (HPC)
  Applying AI to automate scientific computing workflows, scheduling, orchestration, optimization, and recovery across HPC systems.

• Neural Operators & Scientific Foundation Models
  Developing next-generation surrogate models for PDEs, physics simulation, and large-scale scientific intelligence.

We develop domain-specific AI skills for scientific software such as OpenFOAM, enabling:

• automatic CFD case generation
• debugging and validation
• cluster deployment
• parallel execution workflows
• intelligent scientific software operation

https://github.com/SciMate-AI/HPC-Skills

We believe AI should move beyond coding assistance and become a real collaborator in:

• literature review
• hypothesis generation
• experiment design
• simulation execution
• data analysis
• reproducibility
• paper drafting

https://github.com/SciMate-AI/SciCLI

We aim to unite students, researchers, and engineers to contribute to the global AI4Science ecosystem through open source.

The future of science will be powered by:

Human Scientists + AI Scientists + Autonomous Compute Systems

SciMate-AI is building toward that future.

We welcome contributors interested in:

• AI4Science
• Scientific Computing
• HPC Infrastructure
• AI Agents
• Neural Operators
• Open Source Research Tools

GitHub: https://github.com/SciMate-AI Discord: https://discord.gg/wBqjxxRCvp