Throughout history, humanity cherished new scientific discoveries; many people devoted their lives to find them in laborious manual processes. Since the emergence of artificial intelligence, about 60 years ago, the possibility of automated scientific discovery has become conceivable and has attracted significant and growing interest. Many studies of automated scientific discovery have been presented over the years. This article presents a new automated discovery approach that crosses disciplines and transfers knowledge between them. The approach requires rich and formal background knowledge to find concepts, methods, or laws not known in one discipline by using their counterpart in other disciplines, specifically disciplinary knowledge that is represented in the Interdisciplinary Engineering Knowledge Genome. Three recent discoveries in mechanics were replicated automatically through software execution, demonstrating the validity of the approach. In future studies, the goal is to discover new knowledge in mechanics and/or electronics, as well as venture into other disciplines including outside engineering.

纵观历史，人类珍视着新的科学发现。许多人毕生致力于在费力的手工过程中找到他们。自大约60年前人工智能出现以来，自动化科学发现的可能性已经成为可能，并且引起了越来越大的兴趣。多年来，已经提出了许多关于自动化科学发现的研究。本文介绍了一种新的自动发现方法，该方法可以跨学科并在学科之间转移知识。该方法需要丰富而正式的背景知识，以通过在其他学科中使用对应的知识，方法或法律来查找在其他学科中不熟悉的概念，方法或法律，特别是跨学科工程知识基因组中所代表的学科知识。通过软件执行自动复制了机械领域的三个最新发现，证明了该方法的有效性。在未来的研究中，目标是发现力学和/或电子学方面的新知识，