76 citations · 229 across the 8 of their papers we have counts for
8 papers
LIDA - The Leiden Ice Database for Astrochemistry
W. R. M. Rocha, M. G. Rachid, B. Olsthoorn +3
High quality vibrational spectra of solid-phase molecules in ice mixtures and for temperatures of astrophysical relevance are needed to interpret infrared observations toward proto…
Persistent homology of quantum entanglement
Bart Olsthoorn
Structure in quantum entanglement entropy is often leveraged to focus on a small corner of the exponentially large Hilbert space and efficiently parameterize the problem of finding…
Shifting computational boundaries for complex organic materials
R. Matthias Geilhufe, Bart Olsthoorn, Alexander V. Balatsky
Methodology adapted from data science sparked the field of materials informatics, and materials databases are at the heart of it. Applying artificial intelligence to these database…
Identification of strongly interacting organic semimetals
R. Matthias Geilhufe, Bart Olsthoorn
Dirac- and Weyl point- and line-node semimetals are characterized by a zero band gap with simultaneously vanishing density of states. Given a sufficient interaction strength, such…
Finding hidden order in spin models with persistent homology
Bart Olsthoorn, Johan Hellsvik, Alexander V. Balatsky
Persistent homology (PH) is a relatively new field in applied mathematics that studies the components and shapes of discrete data. In this work, we demonstrate that PH can be used…
Mass fluctuations and absorption rates in Dirac materials sensors
Bart Olsthoorn, Alexander V. Balatsky
We study the mass fluctuations in gapped Dirac materials by treating the mass-term as both a continuous and discrete random variable. Gapped Dirac materials were proposed to be use…
Band gap prediction for large organic crystal structures with machine learning
Bart Olsthoorn, R. Matthias Geilhufe, Stanislav S. Borysov +1
Machine-learning models are capable of capturing the structure-property relationship from a dataset of computationally demanding ab initio calculations. Over the past two years, th…
Materials Informatics for Dark Matter Detection
R. Matthias Geilhufe, Bart Olsthoorn, Alfredo Ferella +4
Dark Matter particles are commonly assumed to be weakly interacting massive particles (WIMPs) with a mass in the GeV to TeV range. However, recent interest has shifted towards ligh…