Jakob Schiøtz

Materials Design (France) — France

Materials Science · Physical Sciences

31h-index14.5kcitations135works20.02yr avg
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Research Topics

Electron and X-Ray Spectroscopy Techniques(27), Microstructure and mechanical properties(25), Advanced Electron Microscopy Techniques and Applications(18), Machine Learning in Materials Science(17), Advanced Chemical Physics Studies(16)

Publications135 total

Visualizing phonon edge states on molybdenum disulphide
arXiv (Cornell University)·2025Open Access
Two-Dimensional Materials as Ideal Substrates for Molecular Quantum Emitters
Nano Letters·2025· 2 cited
Defect Complexes in CrSBr Revealed Through Electron Microscopy and Deep Learning
Physical Review X·2025· 3 citedOpen Access
Moiré Patterns in Pt Overlayers on Gold: A Graph Neural Network Interatomic Potential Study
The Journal of Physical Chemistry C·2024· 5 cited
Interpretability of high-resolution transmission electron microscopy images
Ultramicroscopy·2024· 1 citedOpen Access
GPAW: An open Python package for electronic structure calculations
The Journal of Chemical Physics·2024· 204 citedOpen Access
Simultaneous Indexing of Spot and Kikuchi Patterns in Scanning Electron Microscopy (SEM)
BIO Web of Conferences·2024Open Access
Beam induced heating in electron microscopy modeled with machine learning interatomic potentials
Nanoscale·2024· 5 cited
Structural dynamics of catalysts monitored using in situ electron microscopy
Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)·2024Open Access
Measuring the Interpretability of High-Resolution Transmission Electron Microscopy Images
BIO Web of Conferences·2024Open Access
Beam damage and dynamics modelled with equivariant neural networks
BIO Web of Conferences·2024Open Access
GPAW: An open Python package for electronic-structure calculations
arXiv (Cornell University)·2023· 11 citedOpen Access
Beam induced heating in electron microscopy modeled with machine learning interatomic potentials
arXiv (Cornell University)·2023Open Access
Heat Transport Properties of Au-Nanoparticles Supported by TiO2: Insights from E(3)-Equivariant Machine Learning Potentials
Microscopy and Microanalysis·2023
Quantifying noise limitations of neural network segmentations in high-resolution transmission electron microscopy
Ultramicroscopy·2023· 6 citedOpen Access
Quantifying Noise Limitations of Neural Network Segmentations in High-Resolution Transmission Electron Microscopy
arXiv (Cornell University)·2023Open Access
Approaches to Monitoring Structural Dynamics Using In Situ Electron Microscopy
Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)·2023
Real-Time Monitoring of Structural Dynamics
Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)·2023Open Access
Monitoring Structural dynamics Using In Situ Electron Microscopy
Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)·2023Open Access
Structural Dynamics Measured Using In Situ Electron Microscopy
Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)·2023Open Access
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Frequent Co-authors

Karsten W. Jacobsen(22), Thomas Olsen(8), Kristian S. Thygesen(6), Nicholas P. Bailey(6), Jens Jørgen Mortensen(5), Jeppe Gavnholt(5), Jens K. Nørskov(5), Ib Chorkendorff(5), Ask Hjorth Larsen(4), Marcin Dułak(4), Tejs Vegge(4), Michael Walter(4), Ulrik Grønbjerg Vej-Hansen(4), Ifan E. L. Stephens(4), Pei Liu(4), Thomas W. Hansen(4), Eric Hermes(3), Tristan Maxson(3), Andrew A. Peterson(3), Jussi Enkovaara(3)