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Updated: May 23, 2025

All-electronic Nanosecond-resolved Scanning Tunneling Microscopy: Facilitating the Investigation of Single Dopant Charge Dynamics
Published on: January 19, 2018
Theory of Nonadiabatic Tunneling Splitting
Leonardo Raso1, Michele Ceotto1, Eli Pollak2
1Dipartimento di Chimica, Universitá degli Studi di Milano, via C. Golgi 19, 20133 Milano, Italy.
This study introduces a unified quantum mechanical approach for estimating tunneling splittings in both symmetric and asymmetric potentials. The new method accurately predicts splittings for excited states, overcoming limitations of current computational techniques.
Area of Science:
- Quantum mechanics
- Theoretical chemistry
- Computational physics
Background:
- Estimating tunneling splittings is a significant challenge in quantum mechanics, often limited by experimental and computational precision.
- Existing methods primarily calculate ground-state tunneling splittings for symmetric or asymmetric potentials.
- Very small splittings, below a wavenumber, push the boundaries of current detection and calculation capabilities.
Purpose of the Study:
- To develop a unified theoretical approach for calculating tunneling splittings.
- To extend calculations to excited states and near energy crossings.
- To enable analytic approximations and provide new insights into semiclassical theory.
Main Methods:
- A two-state approximation is employed for unified application to symmetric and asymmetric potentials.
- The approach is applicable to diabatic potential crossings and excited states.
- Incorporates vibrational perturbation theory and an instanton-based steepest descent expression.
Main Results:
- The unified method provides reliable estimates for tunneling splittings, even for excited states near energy crossings.
- It facilitates analytic approximations for model potential systems.
- Offers new perspectives on semiclassical tunneling theory.
Conclusions:
- The developed theoretical approach offers a significant advancement in calculating tunneling splittings.
- It provides a robust framework for future multidimensional applications.
- Numerical tests show promising results, paving the way for broader implementation.
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