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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2025
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2511.17810 |
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| _version_ | 1866914167230824448 |
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| author | Pigeon, Thomas Valero, Manuel Corral Raybaud, Pascal |
| author_facet | Pigeon, Thomas Valero, Manuel Corral Raybaud, Pascal |
| contents | This study address the computational determination of catalytic reaction rates by moving beyond traditional Transition State Theory (TST), addressing its limitations in complex systems. The Hill relation framework, integrated with Adaptive Multilevel Splitting (AMS), offers exact rate constants for stochastic dynamics, overcoming TST's assumptions and limitations such as recrossings and post-transition state bifurcations. Two case studies validate the approach: water formation on γ-alumina and protonated isobutanol dehydration in the gas phase, demonstrating consistency with DFT results and highlighting the importance of dynamical effects. This framework provides a robust, computationally feasible methodology for studying complex catalytic processes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_17810 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Unbiased molecular dynamics for the direct determination of catalytic reaction times : paving the way beyond transition state theory Pigeon, Thomas Valero, Manuel Corral Raybaud, Pascal Chemical Physics This study address the computational determination of catalytic reaction rates by moving beyond traditional Transition State Theory (TST), addressing its limitations in complex systems. The Hill relation framework, integrated with Adaptive Multilevel Splitting (AMS), offers exact rate constants for stochastic dynamics, overcoming TST's assumptions and limitations such as recrossings and post-transition state bifurcations. Two case studies validate the approach: water formation on γ-alumina and protonated isobutanol dehydration in the gas phase, demonstrating consistency with DFT results and highlighting the importance of dynamical effects. This framework provides a robust, computationally feasible methodology for studying complex catalytic processes. |
| title | Unbiased molecular dynamics for the direct determination of catalytic reaction times : paving the way beyond transition state theory |
| topic | Chemical Physics |
| url | https://arxiv.org/abs/2511.17810 |