Beginner score
30/100
Competition workspace
适合已有工程设计或数值仿真背景，并能在FastCAE指定环境中开发软件模块的个人或团队。尤其适合会处理结构优化、多物理场仿真、数据转换、网格划分或结果可视化，且能完成部署、测试和技术文档的开发者。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
30/100
Learning value
60/100
Estimated effort
24-80 hours
Metric
Official scoring is published on the Op…
适合已有工程设计或数值仿真背景，并能在FastCAE指定环境中开发软件模块的个人或团队。尤其适合会处理结构优化、多物理场仿真、数据转换、网格划分或结果可视化，且能完成部署、测试和技术文档的开发者。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
FastCAE平台开发
工程仿真建模
网格生成与优化
数值求解算法
软件模块集成
测试与技术文档编写
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不只是实现一个算法，而是把可运行、可验证的功能模块无缝集成到FastCAE，并以完整算例证明性能。提交物覆盖可执行软件包、部署维护说明、测试报告、用户手册、演示视频等；获奖作品还需提供至少3个标准算例的全流程视频与可追溯的量化提升数据。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
How to learn feature engineering, validation, and competition workflow without heavy hardware.
No GPU? Pick Competitions That Still Teach You Good HabitsUse these fields to make a quick decision before you dive deeper.
Registration is unverified; confirm availability on the official page before investing.
Sign in to save competitions and build your own shortlist.
Rules, files, submission details, and the live deadline still come from the official page.
These competitions share a similar domain or difficulty level.
ModelScope
General MLModelScope
General MLKaggle
General MLKaggle
General MLSeparate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.
Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.
reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.