Skip to content
aiqbench takeMachine Learning

aiqbench analysis

This research advances the understanding of ultrafast electron dynamics by utilizing localized intrinsic bond orbitals (IBOs) to map correlated charge migration onto intuitive chemical frameworks. By employing TDDMRG simulations, the study identifies specific mechanisms governing hole shape conversions and proposes a method for designing molecules with optimized charge migration efficiency. These findings provide a rigorous theoretical foundation for controlling electronic processes on femtosecond timescales, bridging quantum dynamics with practical spectroscopic applications.
Sources coveringarXiv, LessWrong
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Localized intrinsic bond orbitals decode correlated charge migration dynamics

arXiv3 min read

arXiv:2603.10105v2 Announce Type: replace-cross Abstract: For decades, scientists have studied the intricate charge migration dynamics, where after ionization a localized charge distribution ("hole") migrates across the molecule on a femtosecond timescale. This has the potential for controlling electrons in molecules, yet a comprehensive understanding of the many aspects of charge migration is still missing. In this work, we analyze charge migration using an extension of localized intrinsic bond orbitals (IBOs). These orbitals lead to a compact representation of the dynamics and map the complex, correlated many-electron charge migration to chemical concepts such as curly arrows and orbital-orbital interactions. By analyzing multiple challenging scenarios, we show how IBOs enable us to identify key mechanisms in charge migration. For example, we show that different mechanisms are responsible for converting a $\pi$-shaped hole to a $\sigma$-shaped hole and vice versa. We explain these in terms of hyperconjugation interactions and configurations that couple orbitals with different symmetries. We further demonstrate how IBOs can be used to find molecules with high charge migration efficiency. We carry out all simulations using an efficient set up of the time-dependent density matrix renormalization group (TDDMRG), correlating as many as 45 electrons in 50 orbitals. We believe that our results will be useful to design future experiments. The proposed IBO analysis is applicable to other types of real-time electron dynamics and spectroscopy.

Abstract:For decades, scientists have studied the intricate charge migration dynamics, where after ionization a localized charge distribution ("hole") migrates across the molecule on a femtosecond timescale. This has the potential for controlling electrons in molecules, yet a comprehensive understanding of the many aspects of charge migration is still missing. In this work, we analyze charge migration using an extension of localized intrinsic bond orbitals (IBOs). These orbitals lead to a compact representation of the dynamics and map the complex, correlated many-electron charge migration to chemical concepts such as curly arrows and orbital-orbital interactions. By analyzing multiple challenging scenarios, we show how IBOs enable us to identify key mechanisms in charge migration. For example, we show that different mechanisms are responsible for converting a $\pi$-shaped hole to a $\sigma$-shaped hole and vice versa. We explain these in terms of hyperconjugation interactions and configurations that couple orbitals with different symmetries. We further demonstrate how IBOs can be used to find molecules with high charge migration efficiency. We carry out all simulations using an efficient set up of the time-dependent density matrix renormalization group (TDDMRG), correlating as many as 45 electrons in 50 orbitals. We believe that our results will be useful to design future experiments. The proposed IBO analysis is applicable to other types of real-time electron dynamics and spectroscopy.

Chemical Physics (physics.chem-ph); Computational Physics (physics.comp-ph); Quantum Physics (quant-ph)

arXiv:2603.10105 [physics.chem-ph]

(or arXiv:2603.10105v2 [physics.chem-ph] for this version)

https://doi.org/10.48550/arXiv.2603.10105 Focus to learn more arXiv-issued DOI via DataCite

Chem. Sci. (2026)

https://doi.org/10.1039/D6SC02580C Focus to learn more DOI(s) linking to related resources

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Full text under the publisher's open licence · 329 words

Related coverage