Im Sang Won, Zhang Dongsu, Han Jeong Hyun, Kim Ryeong Myeong, Choi Changwoon, Kim Young Min, Nam Ki Tae
Department of Materials Science and Engineering, Seoul National University, Seoul, Korea.
Institute of New Media and Communications, Seoul National University, Seoul, Korea.
Nat Mater. 2024 Jul;23(7):977-983. doi: 10.1038/s41563-024-01889-x. Epub 2024 May 1.
Homochirality is an important feature in biological systems and occurs even in inorganic nanoparticles. However, the mechanism of chirality formation and the key steps during growth are not fully understood. Here we identify two distinguishable pathways from achiral to chiral morphologies in gold nanoparticles by training an artificial neural network of cellular automata according to experimental results. We find that the chirality is initially determined by the nature of the asymmetric growth along the boundaries of enantiomeric high-index planes. The deep learning-based interpretation of chiral morphogenesis provides a theoretical understanding but also allows us to predict an unprecedented crossover pathway and the resulting morphology.
同手性是生物系统中的一个重要特征，甚至在无机纳米颗粒中也会出现。然而，手性形成的机制以及生长过程中的关键步骤尚未完全了解。在这里，我们根据实验结果训练了一个细胞自动机人工神经网络，从而确定了金纳米颗粒从非手性到手性形态的两种不同途径。我们发现，手性最初是由对映体高指数平面边界处不对称生长的性质决定的。基于深度学习对手性形态发生的解释不仅提供了理论理解，还使我们能够预测一条前所未有的交叉途径以及由此产生的形态。
