Fig. 2: Exploration stage: iterative discovery of reaction paths through flooding simulations and GP-based MD. | npj Computational Materials

Fig. 2: Exploration stage: iterative discovery of reaction paths through flooding simulations and GP-based MD.

From: Data efficient machine learning potentials for modeling catalytic reactivity via active learning and enhanced sampling

Fig. 2

We report a schematic presentation for the case of N2 dissociation. a The reactant free energy landscape constructed at the end of the preliminary phase, highlighting the metastable minima (gas phase and two adsorption states). Arrows indicate that the reaction paths toward the product state are unknown a priori. Several iterations are then initiated from the reactant basin. The time evolution of the distance between N atoms dN,N (b) and the GP maximum uncertainty on the local environments (c) are shown for a specific iteration. Every time the uncertainty of the GP exceeds the threshold of 0.1 (red dotted line), energy and forces are recomputed at the DFT level (red dots), and the GP is updated. Panel d shows all iterations in the 2D space defined by dN,N and the coordination number between N and surface atoms CN,Fe∣Co, with the trajectory shown in b, c highlighted. Above the top axis, we report the distribution of points where DFT calculations were performed, projected along dN,N. Snapshots and graphs were made with Ovito86 and Matplotlib87, respectively.

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