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arXiv 2607.03371cond-mat.mtrl-sci
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亚稳多晶型体最优生长协议的计算确定

Computational Determination of Optimal Growth Protocols for Metastable Polymorphs

Institute of Solid State Physics, Graz University of Technology(格拉茨工业大学固体物理研究所)

Simon B. Hollweger, Anna Werkovits, Tadeas Lesovsky, Oliver T. Hofmann

AI总结:

研究如何优化随时间变化的温度和压力协议以促进亚稳表面多晶型体的高产形成。结合动力学蒙特卡罗模拟等方法,应用最优控制理论预测生长方案,提高目标结构产量。

摘要:

所需目标结构的可靠生长仍是有机-无机界面的核心挑战。确定选择性产生给定表面结构的生长条件困难,尤其是目标结构为热力学亚稳时。本文展示如何优化时变温度和压力协议以促进亚稳表面多晶型体的高产形成,通过特定方法确定可行协议,提高目标亚稳相产量。

英文摘要:

The reliable growth of a desired target structure remains a central challenge for organic-inorganic interfaces. Specific interface structures can exhibit properties that are superior compared to those of other possible interface structures, but identifying growth conditions that selectively produce a given surface structure is difficult, particularly when the target structure is thermodynamically metastable. Here, we demonstrate how time-dependent temperature and pressure protocols can be optimized to promote the high-yield formation of a metastable surface polymorph. To this end, we combine kinetic Monte Carlo simulations with a parameterized nucleation-and-growth model and apply optimal control theory to predict growth recipes that maximize the yield of the desired target structure. Applying this approach to a prototypical model of an organic molecules adsorbed on a metal surface, we identify experimentally plausible protocols that guide the system through phase space while avoiding kinetic growth regimes in which formation of the thermodynamically stable structure is favored. Compared to a manually optimized three-step protocol, the optimized control trajectory increases the yield of the desired metastable phase from 73 % to 97 % for the same total protocol duration.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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