2023
DOI: 10.1016/j.pecs.2023.101084
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Classical and reactive molecular dynamics: Principles and applications in combustion and energy systems

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Cited by 60 publications
(22 citation statements)
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“…The approach is capable of investigating the phenomena containing a chemical reaction, charge transfer, and electron excitation and hence is beyond the complexity required for understanding PFAS dynamics. 44,47,50 In contrast to AIMD, for classic MD simulations, electronic structures are not directly considered, while atomic-level resolution is retained. Solving Newton's equation of motion for a system of atoms and/or molecules forms the central task of classical MD, just as solving the Schrodinger equation is the central tenant of quantum mechanics.…”
Section: Nanoscale Molecular Dynamicsmentioning
confidence: 99%
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“…The approach is capable of investigating the phenomena containing a chemical reaction, charge transfer, and electron excitation and hence is beyond the complexity required for understanding PFAS dynamics. 44,47,50 In contrast to AIMD, for classic MD simulations, electronic structures are not directly considered, while atomic-level resolution is retained. Solving Newton's equation of motion for a system of atoms and/or molecules forms the central task of classical MD, just as solving the Schrodinger equation is the central tenant of quantum mechanics.…”
Section: Nanoscale Molecular Dynamicsmentioning
confidence: 99%
“…The disadvantage, however, is that in a classical MD simulation the subatomic electronic structure and dynamics are not computed, so inherently quantum-mechanical events, such as chemical reactions (i.e., chemical bond breaking and formation), photoinduced processes, and charge transfer are excluded. 50 To ensure numerical stability, the time steps in an MD simulation must be short, typically only a few femtoseconds (10 −15 s) each. Most of the events of biochemical interest take place on time scales of nanoseconds, microseconds, or longer.…”
Section: Nanoscale Molecular Dynamicsmentioning
confidence: 99%
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“…However, the SEI layer may trap Li + ions, resulting in irreversible capacity loss simultaneously . Recently, several computational modeling approaches, ranging from the electronic level to the atomic/molecular scale, have been widely applied in various fields including catalysis and energy materials. , Table summarizes various computational methods with respect to the simulation time/length scale, key features, and limitations. Each computational method with a different simulation time and length scale focuses on its distinctive features, and consequently, limitations are also evident. In this Perspective, we present the history of strategies used to model the anode/electrolyte interface structure in the field of atomic and molecular simulations and propose a perspective for interface modeling in the anode materials in lithium-ion batteries.…”
Section: Introductionmentioning
confidence: 99%