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Filming movies of attosecond charge migration in single molecules with high harmonic spectroscopy

Physics

Filming movies of attosecond charge migration in single molecules with high harmonic spectroscopy

L. He, S. Sun, et al.

This groundbreaking study led by Lixin He and colleagues reveals the intricate dynamics of electron migration in molecules, providing a fascinating look at how light-matter interaction drives these processes. By employing machine learning to analyze high-order harmonics from fixed molecules, they unveil swirling patterns of electron holes in N2 and CO2, marking a significant advance in our understanding of ultrafast electron dynamics.

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Abstract
Electron migration in molecules is the progenitor of chemical reactions and biological functions after light-matter interaction. Following this ultrafast dynamics, however, has been an enduring endeavor. Here we demonstrate that, by using machine learning algorithm to analyze high-order harmonics generated by two-color laser pulses, we are able to retrieve the complex amplitudes and phases of harmonics of single fixed-in-space molecules. These complex dipoles enable us to construct movies of laser-driven electron migration after tunnel ionization of N2 and CO2 molecules at time steps of 50 attoseconds. Moreover, the angular dependence of the migration dynamics is fully resolved. By examining the movies, we observe that electron holes do not just migrate along the laser polarization direction, but may swirl around the atom centers. Our result establishes a general scheme for studying ultrafast electron dynamics in molecules, paving a way for further advance in tracing and controlling photochemical reactions by femtosecond lasers.
Publisher
Nature Communications
Published On
Aug 06, 2022
Authors
Lixin He, Siqi Sun, Pengfei Lan, Yanqing He, Bincheng Wang, Pu Wang, Xiaosong Zhu, Liang Li, Wei Cao, Peixiang Lu, C. D. Lin
Tags
electron migration
high-order harmonics
machine learning
light-matter interaction
ultrafast dynamics
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