Dynamics of nuclear recoil: QM-BOMD simulations of model systems following β-decay

Literature Information

Publication Date 2021-10-26
DOI 10.1039/D1CP02112E
Impact Factor 3.676
Authors

Rasmus Fromsejer, Kurt V. Mikkelsen, Lars Hemmingsen


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Abstract

The kinetic recoil energy received by the daughter nucleus in a nuclear decay is often large enough to affect the structure around the nucleus in chemical systems. The coinciding element change which typically occurs in a nuclear decay may additionally incur a structural reorganization. The effects of these phenomena on chemical systems where radio-isotopes are used are often little-known or neglected because the dynamics of nuclear decay is difficult to observe experimentally. In this work, QM-MD simulations are used to investigate local fs to ps dynamics following the β-decay of 111Ag to 111Cd in systems modelled on the metal-sensing CueR protein. An adiabatic approximation is applied, assuming that the electronic structure relaxes rapidly after the decay. PM7-MD simulations of recoil dynamics of the model systems show significant structural changes and bonding interactions that depend on the magnitude and direction of the recoil. We find that, in general, the kinetic recoil energy is rapidly distributed (<5 ps) uniformly throughout the systems in the studied scenarios.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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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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