Christoph Freysoldt

Max-Planck-Institut für Nachhaltige Materialien — Germany

Engineering · Physical Sciences

29h-index7.6kcitations159works2.52yr avg
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Research Topics

Advanced Materials Characterization Techniques(39), Electron and X-Ray Spectroscopy Techniques(23), Semiconductor materials and devices(22), Surface and Thin Film Phenomena(18), GaN-based semiconductor devices and materials(16)

Publications159 total

User-Defined Electrostatic Potentials in DFT Supercell Calculations: Implementation and Application to Electrified Interfaces
Journal of Chemical Theory and Computation·2026Open Access
Spatial resolution(s) in atom probe tomography
arXiv (Cornell University)·2026Open Access
Identifying grain boundary and intragranular pinning centres in Sm2(Co,Fe,Cu,Zr)17 permanent magnets to guide performance optimisation
Nature Communications·2025· 1 citedOpen Access
Domain Boundaries in a Metallic Distortive Polar Metal
arXiv (Cornell University)·2025Open Access
Machine learning enhanced atom probe tomography analysis
Progress in Materials Science·2025· 4 citedOpen Access
Electric Field-Induced Formation of a 2D Adatom Gas on Cryogenic Li Surfaces
arXiv (Cornell University)·2025Open Access
Stacking Fault Segregation Imaging With Analytical Field Ion Microscopy
Microscopy and Microanalysis·2024· 1 citedOpen Access
Stacking fault segregation imaging with analytical field ion microscopy
arXiv (Cornell University)·2024Open Access
Analyzing Linear Features in Atom Probe Tomography Datasets using Skeletonization
Microscopy and Microanalysis·2024· 2 cited
A Machine Learning based Workflow to Quantify Atom Probe Tomography Data
Microscopy and Microanalysis·2024Open Access
Roadmap on data-centric materials science
Modelling and Simulation in Materials Science and Engineering·2024· 17 citedOpen Access
Understanding atom probe’s analytical performance for iron oxides using correlation histograms and ab initio calculations
New Journal of Physics·2024· 18 citedOpen Access
Roadmap on Data-Centric Materials Science
2024· 2 citedOpen Access
Roadmap on Data-Centric Materials Science
2024· 1 citedOpen Access
Author response for "Understanding atom probe’s analytical performance for iron oxides using correlation histograms and ab initio calculations"
2024
Roadmap on Data-Centric Materials Science
2024· 1 citedOpen Access
Roadmap on Data-Centric Materials Science
arXiv (Cornell University)·2024Open Access
Atom probe epos dataset for Fe2O3, FeO, Fe3O4
arXiv (Cornell University)·2024· 1 citedOpen Access
Unsupervised and supervised machine learning for feature classification in atomic resolution images
BIO Web of Conferences·2024Open Access
A Machine Learning Framework for Quantifying Chemical Segregation and Microstructural Features in Atom Probe Tomography Data
Microscopy and Microanalysis·2023· 16 citedOpen Access
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Frequent Co-authors

Jörg Neugebauer(33), Baptiste Gault(8), Tilmann Hickel(5), Sixten Boeck(5), Matthias Scheffler(5), Richard G. Hennig(5), Chris G. Van de Walle(4), Patrick Rinke(4), G. Pfanner(4), Anne Marie Z. Tan(4), Blazej Grabowski(3), Patrick Merz(3), Marcus Schmidt(3), Shrikant Mohitkar(3), Claudia Felser(3), Martin Jansen(3), Oana Cojocaru‐Mirédin(3), Michael Ashton(3), Oliver Marquardt(3), Anderson Janotti(2)