Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Jonathan Lahnsteiner

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
The Journal of Physical Chemistry. C, Nanomaterials and Interfaces|October 8, 2021
Exploring Librational Pathways with on-the-Fly Machine-Learning Force Fields: Methylammonium Molecules in MAPbX<sub>3</sub> (X = I, Br, Cl) PerovskitesMenno Bokdam, Jonathan Lahnsteiner, D D Sarma
Physical Review Letters|October 21, 2017
Assessing Density Functionals Using Many Body Theory for Hybrid PerovskitesMenno Bokdam, Jonathan Lahnsteiner, Benjamin Ramberger, et al.
Physical Review Letters|July 9, 2019
Phase Transitions of Hybrid Perovskites Simulated by Machine-Learning Force Fields Trained on the Fly with Bayesian InferenceRyosuke Jinnouchi, Jonathan Lahnsteiner, Ferenc Karsai, et al.
The Journal of Chemical Physics|December 2, 2025
Equivariant machine learning of electric field gradients-Predicting the quadrupolar coupling constant in the MAPbI3 phase transitionBernhard Schmiedmayer, Jop W Wolffs, Gilles A de Wijs, et al.
Journal of Materials Chemistry. A|June 29, 2023
Disorder to order: how halide mixing in MAPbI<sub>3-</sub>Br<sub></sub> perovskites restricts MA dynamicsKostas Fykouras, Jonathan Lahnsteiner, Nico Leupold, et al.
The Journal of Physical Chemistry Letters|August 17, 2017
Behavior of Methylammonium Dipoles in MAPbX<sub>3</sub> (X = Br and I)Sharada Govinda, Bhushan P Kore, Menno Bokdam, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
The Journal of Physical Chemistry. C, Nanomaterials and Interfaces|October 8, 2021
Exploring Librational Pathways with on-the-Fly Machine-Learning Force Fields: Methylammonium Molecules in MAPbX<sub>3</sub> (X = I, Br, Cl) PerovskitesMenno Bokdam, Jonathan Lahnsteiner, D D Sarma
Physical Review Letters|October 21, 2017
Assessing Density Functionals Using Many Body Theory for Hybrid PerovskitesMenno Bokdam, Jonathan Lahnsteiner, Benjamin Ramberger, et al.
Physical Review Letters|July 9, 2019
Phase Transitions of Hybrid Perovskites Simulated by Machine-Learning Force Fields Trained on the Fly with Bayesian InferenceRyosuke Jinnouchi, Jonathan Lahnsteiner, Ferenc Karsai, et al.
The Journal of Chemical Physics|December 2, 2025
Equivariant machine learning of electric field gradients-Predicting the quadrupolar coupling constant in the MAPbI3 phase transitionBernhard Schmiedmayer, Jop W Wolffs, Gilles A de Wijs, et al.
Journal of Materials Chemistry. A|June 29, 2023
Disorder to order: how halide mixing in MAPbI<sub>3-</sub>Br<sub></sub> perovskites restricts MA dynamicsKostas Fykouras, Jonathan Lahnsteiner, Nico Leupold, et al.
The Journal of Physical Chemistry Letters|August 17, 2017
Behavior of Methylammonium Dipoles in MAPbX<sub>3</sub> (X = Br and I)Sharada Govinda, Bhushan P Kore, Menno Bokdam, et al.
Pageof 1