摘要
一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-工程的新研究-应变工程是一篇报道的主题。根据NewsRx记者从中国武汉发回的新闻报道，研究表明：“AlN/DiAm Ond异质结构由于其超宽禁带和其他性能，为下一代高功率电子器件的发展提供了巨大的希望，但AlN/DiAm Ond异质结构在AlN/DiAm Ond界面的附着力差是一个严重的挑战，将导致薄膜分层和器件性能下降。”我们的新闻编辑引用武汉大学的一篇文章：“在他的研究中，基于神经进化元机器学习势(NEP)模型，通过分子动力学模拟研究了AlN/金刚石异质界面的单轴拉伸破坏，原子间的相互作用可以用训练好的NEP来描述。”通过对AlN和金刚石解理面的预测，证明了退火处理可以提高界面C和N原子的结合，从而降低界面的总势能，AlN的应变工程对界面的力学性能也有重要的影响。考虑了表面粗糙度和界面纳米颗粒对aln/金刚石异质结构的影响。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Engineering - Strain Engineering is the subject of a report. According to news reporting originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “AlN/diam ond heterostructures hold tremendous promise for the development of next-generat ion highpower electronic devices due to their ultrawide band gaps and other exc eptional properties. However, the poor adhesion at the AlN/diamond interface is a significant challenge that will lead to film delamination and device performan ce degradation.” Our news editors obtained a quote from the research from Wuhan University, “In t his study, the uniaxial tensile failure of the AlN/diamond heterogeneous interfa ces was investigated by molecular dynamics simulations based on a neuroevolution ary machine learning potential (NEP) model. The interatomic interactions can be successfully described by trained NEP, the reliability of which has been demonst rated by the prediction of the cleavage planes of AlN and diamond. It can be rev ealed that the annealing treatment can reduce the total potential energy by enha ncing the binding of the C and N atoms at interfaces. The strain engineering of AlN also has an important impact on the mechanical properties of the interface. Furthermore, the influence of the surface roughness and interfacial nanostructur es on the AlN/diamond heterostructures has been considered.”
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