Tailoring parameters for QM/MM simulations: accurate modeling of adsorption and catalysis in zirconium-based metal–organic frameworks

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL Physical Chemistry Chemical Physics Pub Date : 2024-07-01 DOI:10.1039/D4CP00681J
Yu-Chi Kao, Yi-Ming Wang, Jyun-Yi Yeh, Shih-Cheng Li, Kevin C.-W. Wu, Li-Chiang Lin and Yi-Pei Li
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Abstract

Quantum mechanics/molecular mechanics (QM/MM) simulations offer an efficient way to model reactions occurring in complex environments. This study introduces a specialized set of charge and Lennard-Jones parameters tailored for electrostatically embedded QM/MM calculations, aiming to accurately model both adsorption processes and catalytic reactions in zirconium-based metal–organic frameworks (Zr-MOFs). To validate our approach, we compare adsorption energies derived from QM/MM simulations against experimental results and Monte Carlo simulation outcomes. The developed parameters showcase the ability of QM/MM simulations to represent long-range electrostatic and van der Waals interactions faithfully. This capability is evidenced by the prediction of adsorption energies with a low root mean square error of 1.1 kcal mol−1 across a wide range of adsorbates. The practical applicability of our QM/MM model is further illustrated through the study of glucose isomerization and epimerization reactions catalyzed by two structurally distinct Zr-MOF catalysts, UiO-66 and MOF-808. Our QM/MM calculations closely align with experimental activation energies. Importantly, the parameter set introduced here is compatible with the widely used universal force field (UFF). Moreover, we thoroughly explore how the size of the cluster model and the choice of density functional theory (DFT) methodologies influence the simulation outcomes. This work provides an accurate and computationally efficient framework for modeling complex catalytic reactions within Zr-MOFs, contributing valuable insights into their mechanistic behaviors and facilitating further advancements in this dynamic area of research.

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为 QM/MM 模拟定制参数:锆基金属有机框架吸附和催化的精确建模
量子力学/分子力学(QM/MM)模拟是模拟复杂环境中发生的反应的有效方法。本研究针对静电嵌入式 QM/MM 计算引入了一套专门的电荷和伦纳德-琼斯参数,旨在精确模拟锆基金属有机框架(Zr-MOFs)中的吸附过程和催化反应。为了验证我们的方法,我们将 QM/MM 模拟得出的吸附能与实验结果和蒙特卡罗模拟结果进行了比较。所开发的参数展示了 QM/MM 模拟忠实再现长程静电和范德华相互作用的能力。对各种吸附剂的吸附能预测均方根误差低至 1.1 kcal/mol,证明了这种能力。通过对 UiO-66 和 MOF-808 这两种结构不同的 Zr-MOF 催化剂催化的葡萄糖异构化和表聚化反应的研究,进一步说明了我们的 QM/MM 模型的实际应用性。我们的 QM/MM 计算结果与实验活化能非常吻合。重要的是,这里引入的参数集与广泛使用的通用力场 (UFF) 兼容。此外,我们还深入探讨了簇模型的大小和密度泛函理论(DFT)方法的选择如何影响模拟结果。这项工作为 Zr-MOFs 内复杂催化反应的建模提供了一个准确且计算高效的框架,有助于深入了解其机理行为,并推动这一动态研究领域的进一步发展。
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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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