Understanding Electrochemical Reactions using Density Functional Theory: Bridging Theoretical Scheme of Squares and Experimental Cyclic Voltammetry

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Amir Mahdian, Arsalan Hashemi, Kari Laasonen
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引用次数: 0

Abstract

Mechanistic redox and acid-base reactions play pivotal roles in numerous applications in both chemistry and biology. Bridging the gap between computational insights and experimental observations is crucial to illuminate the mechanisms underlying these redox processes. In this study, we investigate electrochemical reactions by using the scheme of squares framework for a set of tens of molecules that have been examined for redox flow batteries. Furthermore, we focused on developing our computational models by calibrating the calculated redox potentials against experimental data, thereby enhancing the predictive accuracy of our approach. These findings are relevant across a wide range of applications from energy storage to medicine and synthetic chemistry.
用密度泛函理论理解电化学反应:方阵理论方案与实验循环伏安法的桥接
机械氧化还原和酸碱反应在化学和生物学的许多应用中起着关键作用。弥合计算见解和实验观察之间的差距对于阐明这些氧化还原过程背后的机制至关重要。在这项研究中,我们通过使用方形框架方案来研究电化学反应,这些方案用于氧化还原液流电池。此外,我们专注于通过将计算的氧化还原电位与实验数据进行校准来开发我们的计算模型,从而提高我们方法的预测准确性。这些发现与从能源储存到医学和合成化学的广泛应用相关。
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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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