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人工智能补充领域知识
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到目前为止，化学家在研发具有明确产品特性(例如硬度、拉伸强度和粘度)的新配方时，很大程度上不得不依靠他们的专业知识和多年的经验。人工智能有望成为帮助他们扩展知识并显著减少所需测试数量的重要工具。
朗盛已经积累了一些使用人工智能的经验。在与Citrine Informatics合作开展的一个试点项目中，这家特殊化学品公司正在运用人工智能优化玻璃纤维，以进一步增强朗盛高性能塑料的性能。预计人工智能将使所需配方的开发时间缩短一半以上，由此客户将在更短的时间内得到更好的、量身定制的产品。
对于朗盛数字化计划负责人何纬克(Jörg Hellwig)而言，Citrine与朗盛聚氨酯系统业务部之间的合作伙伴关系证明了数字化在产品开发中的作用日益增强。“大多数已经在使用人工智能的员工都无法想象重新采用过去的工作方法。数字技术的使用正日益成为朗盛的标准程序。”何纬克表示。
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