10 citations · 11 across the 2 of their papers we have counts for
3 papers
Water flow in single-wall nanotubes: Oxygen makes it slip, hydrogen makes it stick
Fabian L Thiemann, Christoph Schran, Patrick Rowe +2
Experimental measurements have reported ultra-fast and radius-dependent water transport in carbon nanotubes which are absent in boron nitride nanotubes. Despite considerable effort…
Machine learning potentials for complex aqueous systems made simple
Christoph Schran, Fabian L. Thiemann, Patrick Rowe +3
Simulation techniques based on accurate and efficient representations of potential energy surfaces are urgently needed for the understanding of complex aqueous systems such as soli…
Machine Learning Potential for Hexagonal Boron Nitride Applied to Thermally and Mechanically Induced Rippling
Fabian L. Thiemann, Patrick Rowe, Erich A. Müller +1
We introduce an interatomic potential for hexagonal boron nitride (hBN) based on the Gaussian approximation potential (GAP) machine learning methodology. The potential is based on…