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NN potentials map gold–water ORR paths

Equivariant neural-network potentials drive nanosecond metadynamics showing associative ORR on Au(100) in which *OOH is reduced to two *OH, with a ~0.3 eV barrier.

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What reaction was simulated at the gold–water interface?

The oxygen reduction reaction (ORR).

Source: Neural network potentials for accelerated metadynamics of oxygen reduction kinetics at Au-water interfaces · DOI · quote verified

Which ML architecture supplied the potential?

PaiNN, an equivariant graph neural network.

Source: Neural network potentials for accelerated metadynamics of oxygen reduction kinetics at Au-water interfaces · DOI · quote verified

How were training structures chosen?

Active learning with CUR matrix decomposition from MD/MetaD.

Source: Neural network potentials for accelerated metadynamics of oxygen reduction kinetics at Au-water interfaces · DOI · quote verified

Which ORR mechanism did metadynamics support?

The associative pathway via *OOH.

Source: Neural network potentials for accelerated metadynamics of oxygen reduction kinetics at Au-water interfaces · DOI · quote verified

What happens to *OOH instead of *O + *OH?

It is reduced to two *OH with neighboring water.

Source: Neural network potentials for accelerated metadynamics of oxygen reduction kinetics at Au-water interfaces · DOI · quote verified

What barrier was estimated for O2 to hydroxyls?

About 0.3 eV.

Source: Neural network potentials for accelerated metadynamics of oxygen reduction kinetics at Au-water interfaces · DOI · quote verified

How long were production metadynamics runs?

2.5 ns with Langevin dynamics.

Source: Neural network potentials for accelerated metadynamics of oxygen reduction kinetics at Au-water interfaces · DOI · quote verified

What DFT setup labeled the data?

PBE with D3 dispersion, 350 eV cutoff.

Source: Neural network potentials for accelerated metadynamics of oxygen reduction kinetics at Au-water interfaces · DOI · quote verified

Why use path collective variables?

To search the ORR path automatically without pre-choosing every elementary step.

Source: Neural network potentials for accelerated metadynamics of oxygen reduction kinetics at Au-water interfaces · DOI · quote verified

What gold facet and solvent model were used?

Au(100) with explicit water (tens of H2O).

Source: Neural network potentials for accelerated metadynamics of oxygen reduction kinetics at Au-water interfaces · DOI · quote verified