4 citations · 4 across the 1 of their papers we have counts for
6 papers
MAD-SURF: a machine learning interatomic potential for molecular adsorption on coinage metal surfaces
Manuel González Lastre, Joakim S. Jestilä, Rubén Pérez +1
Predicting how organic molecules adsorb, assemble, and interact on metal surfaces is central to surface chemistry and molecular electronics, particularly in the context of interpre…
Automated structure discovery for Tip Enhanced Raman Spectroscopy
Harshit Sethi, Markus Junttila, Orlando J Silveira +1
Tip-Enhanced Raman Spectroscopy (TERS) provides nanoscale chemical fingerprints alongside high-resolution topographic mapping of molecules, offering a powerful tool for materials d…
Improving atomic force microscopy structure discovery via style-translation
Jie Huang, Niko Oinonen, Fabio Priante +4
Atomic force microscopy (AFM) is a key tool for characterising nanoscale structures, with functionalised tips now offering detailed images of the atomic structure. In parallel, AFM…
Direct imaging of carbohydrate stereochemistry
Shuning Cai, Joakim S. Jestilä, Peter Liljeroth +1
Carbohydrates, essential biological building blocks, exhibit functional mechanisms tied to their intricate stereochemistry. Subtle stereochemical differences, such as those between…
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…
Heisenberg Spin-1/2 Antiferromagnetic Molecular Chains
Kewei Sun, Nan Cao, Orlando J. Silveira +7
Carbon-based nanostructures possessing π-electron magnetism have attracted tremendous interest due to their great potential for nano spintronics. In particular, quantum chains with…