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

Jutta Rogal

Showing results (11-20 of 37) with videos related to

Pageof 4
Sort By:
Physical Review Letters|February 1, 2008
Effect of surface nanostructure on temperature programmed reaction spectroscopy: first-principles kinetic monte Carlo simulations of CO oxidation at RuO2(110)Michael Rieger, Jutta Rogal, Karsten Reuter
The Journal of Chemical Physics|January 5, 2017
Thermodynamic and kinetic solid-liquid interface properties from transition path samplingDaniel Şopu, Jutta Rogal, Ralf Drautz
Physical Review Letters|March 16, 2007
First-principles statistical mechanics study of the stability of a subnanometer thin surface oxide in reactive environments: CO oxidation at Pd(100)Jutta Rogal, Karsten Reuter, Matthias Scheffler
Journal of Physics. Condensed Matter : an Institute of Physics Journal|March 5, 2015
Martensitic transformation between competing phases in Ti-Ta alloys: a solid-state nudged elastic band studyTanmoy Chakraborty, Jutta Rogal, Ralf Drautz
Journal of Physics. Condensed Matter : an Institute of Physics Journal|November 13, 2014
Vacancy mobility and interaction with transition metal solutes in NiSergej Schuwalow, Jutta Rogal, Ralf Drautz
Faraday Discussions|April 7, 2022
Interplay of structural and dynamical heterogeneity in the nucleation mechanism in nickelGrisell Díaz Leines, Angelos Michaelides, Jutta Rogal
Journal of Chemical Information and Modeling|March 24, 2026
MXtalTools: A Toolkit for Machine Learning on Molecular CrystalsMichael Kilgour, Mark E Tuckerman, Jutta Rogal
Physical Review Letters|January 11, 2020
Neural-Network-Based Path Collective Variables for Enhanced Sampling of Phase TransformationsJutta Rogal, Elia Schneider, Mark E Tuckerman
Journal of Chemical Theory and Computation|December 26, 2025
Automated Machine Learning Pipeline: Large Language Models-Assisted Automated Data set Generation for Training Machine-Learned Interatomic PotentialsAdam Lahouari, Jutta Rogal, Mark E Tuckerman
The Journal of Chemical Physics|April 24, 2017
Atomistic insight into the non-classical nucleation mechanism during solidification in NiGrisell Díaz Leines, Ralf Drautz, Jutta Rogal
Pageof 4

Showing results (11-20 of 37) with videos related to

Sort By:
Pageof 4
Physical Review Letters|February 1, 2008
Effect of surface nanostructure on temperature programmed reaction spectroscopy: first-principles kinetic monte Carlo simulations of CO oxidation at RuO2(110)Michael Rieger, Jutta Rogal, Karsten Reuter
The Journal of Chemical Physics|January 5, 2017
Thermodynamic and kinetic solid-liquid interface properties from transition path samplingDaniel Şopu, Jutta Rogal, Ralf Drautz
Physical Review Letters|March 16, 2007
First-principles statistical mechanics study of the stability of a subnanometer thin surface oxide in reactive environments: CO oxidation at Pd(100)Jutta Rogal, Karsten Reuter, Matthias Scheffler
Journal of Physics. Condensed Matter : an Institute of Physics Journal|March 5, 2015
Martensitic transformation between competing phases in Ti-Ta alloys: a solid-state nudged elastic band studyTanmoy Chakraborty, Jutta Rogal, Ralf Drautz
Journal of Physics. Condensed Matter : an Institute of Physics Journal|November 13, 2014
Vacancy mobility and interaction with transition metal solutes in NiSergej Schuwalow, Jutta Rogal, Ralf Drautz
Faraday Discussions|April 7, 2022
Interplay of structural and dynamical heterogeneity in the nucleation mechanism in nickelGrisell Díaz Leines, Angelos Michaelides, Jutta Rogal
Journal of Chemical Information and Modeling|March 24, 2026
MXtalTools: A Toolkit for Machine Learning on Molecular CrystalsMichael Kilgour, Mark E Tuckerman, Jutta Rogal
Physical Review Letters|January 11, 2020
Neural-Network-Based Path Collective Variables for Enhanced Sampling of Phase TransformationsJutta Rogal, Elia Schneider, Mark E Tuckerman
Journal of Chemical Theory and Computation|December 26, 2025
Automated Machine Learning Pipeline: Large Language Models-Assisted Automated Data set Generation for Training Machine-Learned Interatomic PotentialsAdam Lahouari, Jutta Rogal, Mark E Tuckerman
The Journal of Chemical Physics|April 24, 2017
Atomistic insight into the non-classical nucleation mechanism during solidification in NiGrisell Díaz Leines, Ralf Drautz, Jutta Rogal
Pageof 4