Fast-Tracking Transition-State Localization via Reaction Directional Analysis
Transition-state localization is critical for elucidating chemical reaction mechanisms but remains one of the most computationally demanding challenges in theoretical chemistry. Here, we introduce a novel method, reaction directional analysis-dimer (RDA-D), which integrates reaction directional analysis (RDA) with the dimer method to achieve efficient and reliable transition state searching. Reaction directional analysis generates high-quality quasi-transition-state structures directly from only the initial and final state geometries, combining dynamic interpolation, structural optimization, and directional analysis. These quasi-transition-state structures then serve as starting points for refinement via the dimer method. Benchmark tests on a diverse set of gas-phase and catalytic reactions on surfaces demonstrate that RDA-D is, on average, 5.83 times faster than the Nudged Elastic Band (NEB) method in CPU time and reduces the number of gradient evaluations by a factor of 4.74. Moreover, reaction directional analysis eliminates the need for predefined reaction coordinates or chemically intuitive initial guesses, providing a robust, scalable, and automation-friendly framework for transition-state localization.
Authors
- P. Hu (ORCID: https://orcid.org/0000-0002-6318-1051)
- Chenxi Guo (ORCID: https://orcid.org/0000-0002-8908-7258)
- Peipei Zhang (ORCID: https://orcid.org/0000-0003-1742-1680)
Institutions
- Queen's University Belfast (GB)
- East China University of Science and Technology (CN)
- ShanghaiTech University (CN)
- Coconut Research Institute (CN)
- Ministry of Education (PT)
- Industrial Technology Institute (LK)
- Dahua Technology (China) (CN)
Publication Details
- Journal
- Journal of Chemical Theory and Computation
- Published
- 2025-12-12
- DOI
- https://doi.org/10.1021/acs.jctc.5c01784
- Citations
- 1
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.52