1 citations · 2 across the 7 of their papers we have counts for
7 papers
Reconstruction-Dependent Imaging, Reactivity and Local Reduction of the CeO(100) surface
Kyungmin Kim, Manuel González Lastre, Estefanía Fernández-Villanueva +7
The possibility of mapping the local reactivity and reduction state to the atomic structure of chemically active oxide surfaces opens new avenues for further understanding of catal…
Mapping the Growth of Two-Dimensional -Conjugated Polymers on Au(111): Organometallic Intermediates and Edge Terminations
Simon W. Briesenick, Wyatt A. Behn, Manuel González Lastre +6
Kagome lattices provide an exciting space for the exploration of graphene-like -conjugated molecular systems with flat bands. Using heterotriangulene-derived precursors, along w…
De novo molecular generation with optical property preconditioning at the token level
Haozhe Huang, Manuel Gonzalez Lastre, Hyun Suk Park +3
Designing OLED molecules with targeted optical properties remains challenging due to the scarcity of high-quality data and the limited reliability of conditional control in generat…
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…
Near-surface Defects Break Symmetry in Water Adsorption on CeO(111)
Oscar Custance, Manuel González Lastre, Kyungmin Kim +7
Water interactions with oxygen-deficient cerium dioxide (CeO) surfaces are central to hydrogen production and catalytic redox reactions, but the atomic-scale details of how def…
Molecular Identification via Molecular Fingerprint extraction from Atomic Force Microscopy images
Manuel González Lastre, Pablo Pou, Miguel Wiche +3
Non--Contact Atomic Force Microscopy with CO--functionalized metal tips (referred to as HR-AFM) provides access to the internal structure of individual molecules adsorbed on a surf…
Parameter estimation by learning quantum correlations in continuous photon-counting data using neural networks
Enrico Rinaldi, Manuel González Lastre, Sergio García Herreros +4
We present an inference method utilizing artificial neural networks for parameter estimation of a quantum probe monitored through a single continuous measurement. Unlike existing a…