Bart Olsthoorn
Bart Olsthoorn
NORDITA, Nordic Institute for Theoretical Physics
Verified email at kth.se - Homepage
Title
Cited by
Cited by
Year
Band gap prediction for large organic crystal structures with machine learning
B Olsthoorn, RM Geilhufe, SS Borysov, AV Balatsky
Advanced Quantum Technologies, 1900023, 2019
312019
Materials Informatics for Dark Matter Detection
RM Geilhufe, B Olsthoorn, A Ferella, T Koski, F Kahlhoefer, J Conrad, ...
Physica Status Solidi RRL, 2018
282018
Finding hidden order in spin models with persistent homology
B Olsthoorn, J Hellsvik, AV Balatsky
Physical Review Research 2, 043308, 2020
132020
Online search tool for graphical patterns in electronic band structures
SS Borysov, B Olsthoorn, MB Gedik, RM Geilhufe, AV Balatsky
Npj Computational Materials 4 (1), 1-8, 2018
52018
Identification of strongly interacting organic semimetals
RM Geilhufe, B Olsthoorn
Physical Review B 102, 205134, 2020
42020
Shifting computational boundaries for complex organic materials
RM Geilhufe, B Olsthoorn, AV Balatsky
Nature Physics, 1-3, 2021
32021
Mass fluctuations and absorption rates in dark-matter sensors based on Dirac materials
B Olsthoorn, AV Balatsky
Physical Review B 101, 045120, 2020
22020
Indoor radon exposure and its correlation with the radiometric map of uranium in Sweden
B Olsthoorn, T Rönnqvist, C Lau, S Rajasekaran, T Persson, M Månsson, ...
Science of The Total Environment, 151406, 2021
2021
Persistent homology of quantum entanglement
B Olsthoorn, AV Balatsky
arXiv:2110.10214, 2021
2021
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Articles 1–9