13 citations · 18 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2024★ 13 cited
Precise large-scale chemical transformations on surfaces: deep learning meets scanning probe microscopy with interpretability
Nian Wu, Markus Aapro, Joakim S. Jestilä +9
Scanning Probe Microscopy (SPM) techniques have shown great potential in fabricating nanoscale structures endowed with exotic quantum properties achieved through various manipulati…
physics.chem-ph2023★ 5 cited
Accelerated lignocellulosic molecule adsorption structure determination
Joakim S. Jestilä, Nian Wu, Fabio Priante +1
Here, we present a study combining Bayesian optimisation structural inference with the machine learning interatomic potential NequIP to accelerate and enable the study of the adsor…