Bonati Luigi, Polino Daniela, Pizzolitto Cristina, Biasi Pierdomenico, Eckert Rene, Reitmeier Stephan, Schlögl Robert, Parrinello Michele
Atomistic Simulations, Italian Institute of Technology, Genova 16152, Italy.
Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland, Lugano 6962, Switzerland.
Proc Natl Acad Sci U S A. 2023 Dec 12;120(50):e2313023120. doi: 10.1073/pnas.2313023120. Epub 2023 Dec 7.
Dynamics has long been recognized to play an important role in heterogeneous catalytic processes. However, until recently, it has been impossible to study their dynamical behavior at industry-relevant temperatures. Using a combination of machine learning potentials and advanced simulation techniques, we investigate the cleavage of the N[Formula: see text] triple bond on the Fe(111) surface. We find that at low temperatures our results agree with the well-established picture. However, if we increase the temperature to reach operando conditions, the surface undergoes a global dynamical change and the step structure of the Fe(111) surface is destabilized. The catalytic sites, traditionally associated with this surface, appear and disappear continuously. Our simulations illuminate the danger of extrapolating low-temperature results to operando conditions and indicate that the catalytic activity can only be inferred from calculations that take dynamics fully into account. More than that, they show that it is the transition to this highly fluctuating interfacial environment that drives the catalytic process.
长期以来,动力学在多相催化过程中被认为起着重要作用。然而,直到最近,在与工业相关的温度下研究其动力学行为仍不可能。我们结合机器学习势和先进的模拟技术,研究了N≡N三键在Fe(111)表面的裂解。我们发现,在低温下,我们的结果与已确立的情况相符。然而,如果我们将温度升高到实际操作条件,表面会发生全局动力学变化,Fe(111)表面的台阶结构会变得不稳定。传统上与该表面相关的催化位点会不断出现和消失。我们的模拟揭示了将低温结果外推到实际操作条件的危险性,并表明催化活性只能从充分考虑动力学的计算中推断出来。不仅如此,它们还表明,正是向这种高度波动的界面环境的转变驱动了催化过程。