17 citations · 48 across the 8 of their papers we have counts for
8 papers
Probability calibration for precipitation nowcasting
Lauri Kurki, Yaniel Cabrera, Samu Karanko
Reliable precipitation nowcasting is critical for weather-sensitive decision-making, yet neural weather models (NWMs) can produce poorly calibrated probabilistic forecasts. Standar…
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…
Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy
Utkarsh Pratiush, Austin Houston, Kamyar Barakati +70
Microscopy is a primary source of information on materials structure and functionality at nanometer and atomic scales. The data generated is often well-structured, enriched with me…
On-Surface Synthesis of Silole and Disilacyclooctaene Derivatives
Kewei Sun, Lauri Kurki, Orlando J. Silveira +5
Sila-cyclic rings are a class of organosilicon cyclic compounds and have abundant application in organic chemistry and materials science. However, it is still challenging to synthe…
Automated Structure Discovery for Scanning Tunneling Microscopy
Lauri Kurki, Niko Oinonen, Adam S. Foster
Scanning tunnelling microscopy (STM) with a functionalized tip apex reveals the geometric and electronic structure of a sample within the same experiment. However, the complex natu…
Local Probe Structure Isomerization in a One-Dimensional Molecular Array
Shigeki Kawai, Orlando J. Silveira, Lauri Kurki +8
Synthesis of one-dimensional molecular arrays with tailored stereoisomers is challenging yet has a great potential for application in molecular opto-, electronic- and magnetic-devi…