让新材料从设计起就具备量产和成本优势，跨越实验室到产业的鸿沟。
Born-Qualified: An Autonomous Framework for Deploying Advanced Energy and Electronic Materials
- 从源头嵌入可制造性、成本和耐久性约束
- 构建多目标评估体系与制造闭环的自动化框架
- 适合材料研发与产业转化交叉领域的研究者
自主科学正在改变先进能源材料与化学系统的发现方式。然而，许多初期表现优异的材料系统最终未能实现部署，这被称为‘死亡谷’——源于优化过程过于关注实验室指标，忽视工业可行性。本文提出‘天生合格’（born-qualified）的自主开发策略，即从初始阶段就融入可制造性、成本和耐久性约束。该方法基于四大支柱：多目标评价指标、因果模型、模块化基础设施，以及将制造环节嵌入发现流程。实现这一愿景需要持续的社区协作，但其潜在回报与挑战规模相匹配。
原文摘要 · Abstract (English)
Autonomous science is transforming how we discover materials and chemical systems for advanced energy technologies. However, many initially promising systems never reach deployment. This "valley of death" stems from optimization that prioritizes laboratory metrics over industrial viability. We propose a new strategy: "born-qualified" autonomous development, which embeds manufacturability, cost, and durability constraints from the outset. This approach is enabled by four pillars, including the development of multi-objective metrics, causal models, a modular infrastructure, and embedding manufacturing in the discovery loop. Realizing this vision will require sustained, community-wide commitment, but the potential return on that investment is commensurate with the scale of the challenge.
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