For a more complete overview see: www.dynamicsolids.net
Condensed Matter Physics, Machine-Learning Force Fields, Electronic Structure, Computational Materials Science, Mixed Hybrid Perovskites, Dynamic Solids, Phonons, Thermalconductivity
2022 - now Assistant Professor, University of Twente (group of Prof. C. Filippi)
2020 -2022 Assistant Professor, University of Twente (group of Prof. P.J. Kelly)
2019-2020 Principal Investigator, University of Vienna (group of Prof. G. Kresse)
2015-2019 University Assistant, University of Vienna (group of Prof. G. Kresse)
2014-2015 Post-Doc, University of Vienna (group of Prof. G. Kresse)
2009-2013 PhD, University of Twente (group of Prof. P.J. Kelly)
Organisations
For a more complete overview see: www.dynamicsolids.net
Condensed Matter Physics, Machine-Learning Force Fields, Electronic Structure, Computational Materials Science, Mixed Hybrid Perovskites, Dynamic Solids, Phonons, Thermalconductivity
Publications
2024
2023
Other contributions
Phase Transitions of Hybrid Perovskites Simulated by Machine-Learning Force Fields Trained on the Fly with Bayesian Inference
Ryosuke Jinnouchi, Jonathan Lahnsteiner, Ferenc Karsai, Georg Kresse, and Menno Bokdam
Phys. Rev. Lett. 122, 225701 – Published 7 June 2019
Long-range order imposed by short-range interactions in methylammonium-lead iodide MAPbI3: Comparing point-dipole models to machine-learning force fields
Lahnsteiner J., Jinnouchi R., Bokdam M.
Phys. Rev. B. 100, 094106, DOI: 10.1103/PhysRevB.100.094106
The Finite Temperature Structure of the MAPbI3 Perovskite: Comparing density functional approximations and force fields to experiment
Lahnsteiner J., Kresse G., Heijnen J., Bokdam M.
Phys. Rev. Mat., 2, 073604 (2018) DOI: 10.1103/PhysRevMaterials.2.073604
Assessing density functionals using many body theory for hybrid perovskites
Bokdam M., Lahnsteiner J., Ramberger B., Schäfer T., Kresse G.
Physical Review Letters, 119, 145501, (2017), DOI: 10.1103/PhysRevLett.119.145501
Behavior of Methylammonium Dipoles in MAPbX(3) (X = Br and I)
Govinda S., Kore B.P., Bokdam M., Mahale P., Kumar A., Pal S., Bhattacharyya B., Lahnsteiner J., Kresse G., Franchini C., Pandey A., Sarma D.D.
Journal of Physical Chemistry Letters, 8, 4113-4121 (2017) DOI: 10.1021/acs.jpclett.7b01740
Research profiles
Students interested in combining machine-learning methods with solid-state physics are welcome to contact me for bachelor and master assignments.
Affiliated study programs
Courses academic year 2024/2025
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses academic year 2023/2024
- 193599010 - Internship
- 193599039 - Master Thesis: Physics Aspects
- 193599089 - Master Thesis: General Aspects
- 201700185 - Internship
- 201800344 - Master's Assignment: Physics Aspects
- 201800345 - Master's Assignment: General Aspects
- 201900288 - Internship AM/AP
- 202000657 - Data, Statistics & Probability for Eng.
- 202000716 - Bachelor Assignment
- 202100210 - Electronic Structure Theory
- 202100224 - Machine Learning
- 202200095 - Hilbert Space
Address
University of Twente
Carré (building no. 15), room C4049
Hallenweg 23
7522 NH Enschede
Netherlands
University of Twente
Carré C4049
P.O. Box 217
7500 AE Enschede
Netherlands
Organisations
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