Li Chu, Yao Yuan, Pan Ding
Department of Physics, The Hong Kong University of Science and Technology, Hong Kong, China.
Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong, China.
Proc Natl Acad Sci U S A. 2025 Jan 7;122(1):e2406356121. doi: 10.1073/pnas.2406356121. Epub 2024 Dec 30.
Dissolution of CO in water followed by the subsequent hydrolysis reactions is of great importance to the global carbon cycle, and carbon capture and storage. Despite numerous previous studies, the reactions are still not fully understood at the atomistic scale. Here, we combined ab initio molecular dynamics (AIMD) simulations with Markov state models to elucidate the reaction mechanisms and kinetics of CO in supercritical water both in the bulk and nanoconfined states. The integration of unsupervised learning with first-principles data allows us to identify complex reaction coordinates and pathways automatically instead of a priori human speculation. Interestingly, our unbiased modeling found an unknown pathway of dissolving CO(aq) under graphene nanoconfinement, involving the pyrocarbonate anion [COFormula: see text] as an intermediate state. The pyrocarbonate anion was previously hypothesized to have a fleeting existence in water; however, our study reveals that it is a crucial reaction intermediate and stable carbon species in the nanoconfined solutions. We even observed the formation of pyrocarbonic acid [HCO(aq)], which was unknown in water, in our AIMD simulations. The unexpected appearance of pyrocarbonates is related to the superionic behavior of the confined solutions. We also found that carbonation reactions involve collective proton transfer along transient water wires, which exhibits concerted behavior in the bulk solution but proceeds stepwise under nanoconfinement. The first-principles Markov state models show substantial promise for elucidating complex reaction kinetics in aqueous solutions. Our study highlights the importance of large oxocarbons in aqueous carbon reactions, with great implications for the deep carbon cycle and the sequestration of CO.
CO在水中的溶解以及随后的水解反应对于全球碳循环和碳捕获与封存至关重要。尽管之前有众多研究,但在原子尺度上这些反应仍未被完全理解。在此,我们将从头算分子动力学(AIMD)模拟与马尔可夫状态模型相结合,以阐明CO在超临界水中处于本体状态和纳米受限状态下的反应机制和动力学。将无监督学习与第一性原理数据相结合,使我们能够自动识别复杂的反应坐标和途径,而无需先验的人为推测。有趣的是,我们的无偏建模发现了石墨烯纳米限域下CO(aq)溶解的一条未知途径,其中焦碳酸盐阴离子[CO[化学式:见原文](aq)]作为中间状态。焦碳酸盐阴离子此前被推测在水中短暂存在;然而,我们的研究表明它是纳米受限溶液中的关键反应中间体和稳定的碳物种。我们甚至在AIMD模拟中观察到了水中未知的焦碳酸[HCO(aq)]的形成。焦碳酸盐的意外出现与受限溶液的超离子行为有关。我们还发现碳酸化反应涉及沿着瞬态水线的集体质子转移,这在本体溶液中表现出协同行为,但在纳米限域下分步进行。第一性原理马尔可夫状态模型在阐明水溶液中的复杂反应动力学方面显示出巨大潜力。我们的研究强调了大含氧化合物在水相碳反应中的重要性,对深部碳循环和CO的封存具有重要意义。