YC 初创公司悬赏百万美元，征集 AI 攻克材料科学五大难题
原标题：A YC startup is putting $1M behind five unsolved materials science problems for AI
AI 摘要
旧金山初创公司 Discovered Materials（Y Combinator 2026 春季批次）宣布设立总额 100 万美元的悬赏，征集 AI 模型解决材料科学五个未解难题，涵盖铜氧化物超导理论、硅与二氧化硅界面结构预测、晶粒结构与热性能映射、光致材料行为变化理论以及改进密度泛函理论。该公司称，在发布挑战前曾让前沿实验室的 AI 智能体自主攻关数日，但进展有限。公司联合创始人 Advaith Sridhar 表示，这些挑战旨在充当衡量 AI 在材料科学领域进展的标尺，无论最终由谁解决。
正文节选
Discovered Materials, a months-old, San Francisco startup using AI models to find new substances for building advanced chips, announced a million-dollar challenge for AI models to solve five critical problems in materials science. While frontier AI models have solved a remarkable series of outstanding mathematics problems and made progress in the life sciences, they have yet to truly plumb the complex physics in advanced materials. “It’s more difficult to specify problems clearly in materials sc