01
模型规划Plan
确定值得验证的方向Prioritise what to validate
核心技术 / 02CORE TECHNOLOGY / 02
每一次实验，
积累研发优势Every experiment.
A better next decision.
模型指导实验，实验反哺模型。持续积累能够支撑研发决策的物理反馈。Models guide experiments. Experiments refine models. Physical evidence compounds with every development cycle.
闭环数据生产飞轮THE CLOSED-LOOP DATA FLYWHEEL
让研发过程，
成为持续学习的过程Turn development
into continuous learning.
02
数据生产Generate
连接计算与实验Connect simulation and experiments
03
物理验证Validate
评估性能与偏差Assess performance and deviations
04
模型更新Learn
让反馈进入下一轮设计Bring evidence into the next design
材料数据工厂MATERIALS DATA FACTORY
连接数字研发
与真实实验Digital R&D.
Physical evidence.
推进自动化实验与高通量验证体系建设，连接材料制备、表征、测试和模型学习。Developing automated experimentation and high-throughput validation, connecting preparation, characterisation, testing and model learning.
以上为 MATARIA 数据工厂三维设计方案，不代表已建成设施。MATARIA data factory design studies; not photographs of an operating facility.
保留研发上下文Keep the context
材料状态、工艺条件与验证结果共同记录。Retain material states, process conditions and validation results together.
积累可复用经验Build reusable knowledge
成功与失败，都是下一轮设计的依据。Both successes and failures inform the next design.
明确数据边界Define data boundaries
依照授权与项目约定使用客户数据。Use customer data within authorisation and project agreements.
与 MATARIA 合作WORK WITH MATARIA