Shahmohammadi Mina, Mukherjee Rajib, Sukotjo Cortino, Diwekar Urmila M, Takoudis Christos G
Department of Chemical Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
Vishwamitra Research Institute, Crystal Lake, IL 60012, USA.
Nanomaterials (Basel). 2022 Mar 1;12(5):831. doi: 10.3390/nano12050831.
Atomic layer deposition (ALD) is a vapor-phase deposition technique that has attracted increasing attention from both experimentalists and theoreticians in the last few decades. ALD is well-known to produce conformal, uniform, and pinhole-free thin films across the surface of substrates. Due to these advantages, ALD has found many engineering and biomedical applications. However, drawbacks of ALD should be considered. For example, the reaction mechanisms cannot be thoroughly understood through experiments. Moreover, ALD conditions such as materials, pulse and purge durations, and temperature should be optimized for every experiment. It is practically impossible to perform many experiments to find materials and deposition conditions that achieve a thin film with desired applications. Additionally, only existing materials can be tested experimentally, which are often expensive and hazardous, and their use should be minimized. To overcome ALD limitations, theoretical methods are beneficial and essential complements to experimental data. Recently, theoretical approaches have been reported to model, predict, and optimize different ALD aspects, such as materials, mechanisms, and deposition characteristics. Those methods can be validated using a different theoretical approach or a few knowledge-based experiments. This review focuses on recent computational advances in thermal ALD and discusses how theoretical methods can make experiments more efficient.
原子层沉积(ALD)是一种气相沉积技术,在过去几十年中受到了实验人员和理论人员越来越多的关注。众所周知,ALD能够在衬底表面生成保形、均匀且无针孔的薄膜。由于这些优点,ALD已在许多工程和生物医学领域得到应用。然而,也应考虑ALD的缺点。例如,通过实验无法彻底理解其反应机理。此外,对于每个实验,都需要针对诸如材料、脉冲和吹扫持续时间以及温度等ALD条件进行优化。实际上,要通过大量实验来找到能够制备出具有所需应用薄膜的材料和沉积条件是不可能的。另外,只能对现有的材料进行实验测试,而这些材料往往价格昂贵且具有危险性,应尽量减少其使用。为了克服ALD的局限性,理论方法是对实验数据有益且必不可少的补充。最近,已有理论方法被报道用于对ALD的不同方面进行建模、预测和优化,例如材料、机理和沉积特性。这些方法可以通过不同的理论方法或一些基于知识的实验进行验证。本综述重点关注热ALD最近的计算进展,并讨论理论方法如何提高实验效率。