Time-Irreversible Quantum-Classical Dynamics of Molecular Models in the Brain

This manuscript aims to illustrate a quantum-classical dissipative theory (suited to be converted to effective algorithms for numerical simulations) within the long-term project of studying molecular processes in the brain. Other approaches, briefly sketched in the text, have advocated the need to deal with both quantum and classical dynamic variables when studying the brain. At variance with these other frameworks, the manuscript’s formalism allows us to explicitly treat the classical dynamical variables. The theory must be dissipative not because of formal requirements but because brain processes appear to be dissipative at the molecular, physiological, and high functional levels. We discuss theoretically that using Brownian dynamics or the Nosè-Hoover-Chain thermostat to perform computer simulations provides an effective way to introduce an arrow of time for open quantum systems in a classical environment. In the future, We plan to study classical models of neurons and astrocytes, as well as their networks, coupled to quantum dynamical variables describing, e.g., nuclear and electron spins, HOMO and LUMO orbitals of phenyl and indole rings, ion channels, and tunneling protons.

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Publication Details

Journal
Symmetry
Published
2025-02-13
DOI
https://doi.org/10.3390/sym17020285
Citations
5
Primary Topic
Photoreceptor and optogenetics research
Type
article
Field-Weighted Citation Impact
4.55
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Time-Irreversible Quantum-Classical Dynamics of Molecular Models in the Brain

Maria Teresa Caccamo, Alessandro Sergi, Michael A. Nitsche, Rosalba Saija et al.
5 citations
Symmetry
Photoreceptor and optogenetics research
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article

Time-Irreversible Quantum-Classical Dynamics of Molecular Models in the Brain

Maria Teresa Caccamo, Alessandro Sergi, Michael A. Nitsche, Rosalba Saija, Gabriella Martino, A. Messina, Min‐Fang Kuo
article en
5 citations

Abstract

This manuscript aims to illustrate a quantum-classical dissipative theory (suited to be converted to effective algorithms for numerical simulations) within the long-term project of studying molecular processes in the brain. Other approaches, briefly sketched in the text, have advocated the need to deal with both quantum and classical dynamic variables when studying the brain. At variance with these other frameworks, the manuscript’s formalism allows us to explicitly treat the classical dynamical variables. The theory must be dissipative not because of formal requirements but because brain processes appear to be dissipative at the molecular, physiological, and high functional levels. We discuss theoretically that using Brownian dynamics or the Nosè-Hoover-Chain thermostat to perform computer simulations provides an effective way to introduce an arrow of time for open quantum systems in a classical environment. In the future, We plan to study classical models of neurons and astrocytes, as well as their networks, coupled to quantum dynamical variables describing, e.g., nuclear and electron spins, HOMO and LUMO orbitals of phenyl and indole rings, ion channels, and tunneling protons.

SymmetryVol. 17(2)
University of Messina (IT), Durban University of Technology (ZA), TU Dortmund University (DE), Bielefeld University (DE), Leibniz Research Centre for Working Environment and Human Factors (DE), University of Palermo (IT)
Openalex Percentile: Top 6%
Photoreceptor and optogenetics research
4.55
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