The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/1c93d3fe-9085-4fb0-91eb-9ecef3be1ee9

Veldman, Lukas (2024): Data and analysis code supporting the PhD thesis 'Coherent dynamics of atomic spins on a surface'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/1c93d3fe-9085-4fb0-91eb-9ecef3be1ee9.v1

Dataset

• Condensed Matter Physics
• Quantum Physics
• Atomic, Molecular, Nuclear, Particle and Plasma Physics
• Physical Sciences

Electron spin resonance, Pump-probe spectroscopy, Scanning tunneling microscopy, Spin dynamics

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Lukas Veldman

This data set contains the raw data files as well as the analysis code used to produce all the experimental plots in the PhD thesis 'Coherent dynamics of atomic spins on a surface' by Lukas M. Veldman under supervision of prof. Sander Otte at the TU Delft. It contains measurements done with a scanning tunneling microscope (STM) on individual titanium atoms adsorbed on MgO thin films on top of Ag(100). Using electron spin resonance (ESR) methods, transitions between different spin states of a single atoms can be driven, revealing their magnetic state space. By using DC pulses in a pump-probe scheme, we inject a single spin excitation into the atomic structures and observe the resulting dynamics. This way, we are able to study the propagation of a spin excitation between the electron spins of individual magnetic atoms as well as between the electron spin and the nuclear spin within a single atom. The dataset is ordered by chapter that contains experimental data.

• 2024-01-29 first online, published, posted

4TU.ResearchData

Custom data formats (.dat, .tf), python files (.py), matlab files (.m)

TU Delft, Faculty of Applied Sciences, Department of Quantum Nanoscience,
Kavli Institute of Nanoscience, Delft University of Technology