Ultrafast solvent-modulated roaming mechanism in bromoform revealed by femtosecond X-ray solution scattering

Roaming-mediated isomerization is a universal reaction mechanism in photochemistry, yet solvent-dependent pathways of roaming intermediates remain poorly understood, particularly for environmentally relevant halogen compounds involved in ozone depletion. Here, using femtosecond time-resolved X-ray solution scattering, we resolve the solvent-dependent roaming dynamics of CHBr<sub>3</sub> in methanol and methylcyclohexane. By combining multi-method experimental analysis, machine learning-assisted ab initio molecular dynamics simulations, and density functional theory calculations, we uncover distinct solvent-steered reaction pathways. In methanol, roaming enhances solute-solvent interactions, leading to solvolysis before a stable isomer forms. In methylcyclohexane, roaming facilitates isomerization to a long-lived iso-CHBr<sub>2</sub>-Br product. Direct dissociation into CHBr<sub>2</sub> + Br competes with both pathways in either solvent. By tracking bond-length oscillations and angular dynamics in real time, we visualize how the condensed-phase environment governs the branching ratio between competing pathways. Our findings establish solute-solvent interactions as key factors controlling roaming-mediated reactions in CHBr<sub>3</sub>, with broad implications for photochemical outcomes in solution.

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Publication Details

Journal
Nature Communications
Published
2026-02-09
DOI
https://doi.org/10.1038/s41467-026-69374-4
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

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article

Ultrafast solvent-modulated roaming mechanism in bromoform revealed by femtosecond X-ray solution scattering

Hazem Yousef, Dmitry Khakhulin, Michaël Wulff, Doriana Vinci et al.
Nature Communications
Machine Learning in Materials Science
article

Ultrafast solvent-modulated roaming mechanism in bromoform revealed by femtosecond X-ray solution scattering

Hazem Yousef, Dmitry Khakhulin, Michaël Wulff, Doriana Vinci, Yifeng Jiang, Sophie E. Canton, Sharmistha Paul Dutta, P. Zalden, Qingyu Kong, Mengxu Li, Christopher J. Milne, Tsu‐Chien Weng, Hao Wang, Kai Zhang, Xuan Liu, Ruixue Zhu, Peiyuan Su, Jihao Zhang, Diana Bregenholt Jakobsen, Wenge Yang, Yingqi Wang
article en

Abstract

Roaming-mediated isomerization is a universal reaction mechanism in photochemistry, yet solvent-dependent pathways of roaming intermediates remain poorly understood, particularly for environmentally relevant halogen compounds involved in ozone depletion. Here, using femtosecond time-resolved X-ray solution scattering, we resolve the solvent-dependent roaming dynamics of CHBr<sub>3</sub> in methanol and methylcyclohexane. By combining multi-method experimental analysis, machine learning-assisted ab initio molecular dynamics simulations, and density functional theory calculations, we uncover distinct solvent-steered reaction pathways. In methanol, roaming enhances solute-solvent interactions, leading to solvolysis before a stable isomer forms. In methylcyclohexane, roaming facilitates isomerization to a long-lived iso-CHBr<sub>2</sub>-Br product. Direct dissociation into CHBr<sub>2</sub> + Br competes with both pathways in either solvent. By tracking bond-length oscillations and angular dynamics in real time, we visualize how the condensed-phase environment governs the branching ratio between competing pathways. Our findings establish solute-solvent interactions as key factors controlling roaming-mediated reactions in CHBr<sub>3</sub>, with broad implications for photochemical outcomes in solution.

Nature CommunicationsVol. 17(1)
Shenzhen University (CN), Beijing Normal University (CN), Synchrotron soleil (FR), European Synchrotron Radiation Facility (FR), ShanghaiTech University (CN), Center for High Pressure Science and Technology Advanced Research (CN), Beijing Academy of Quantum Information Sciences (CN), Shenzhen Technology University (CN), University of Warsaw (PL), European X-Ray Free-Electron Laser (DE)
National Natural Science Foundation of China, Shenzhen University
Openalex Percentile: Top 64%
Machine Learning in Materials Science
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