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

Ema Slejko

Showing results (1-10 of 2) with videos related to

Pageof 1
Sort By:
Journal of Chemical Theory and Computation|December 20, 2023
Developing an Implicit Solvation Machine Learning Model for Molecular Simulations of Ionic MediaAmaury Coste, Ema Slejko, Julija Zavadlav, et al.
The Journal of Chemical Physics|February 3, 2026
Achieving all-atom molecular dynamics accuracy from the Poisson-Boltzmann method through machine learningEma Slejko, Amaury Coste, Tilen Potisk, et al.
Pageof 1

Showing results (1-10 of 2) with videos related to

Sort By:
Pageof 1
Journal of Chemical Theory and Computation|December 20, 2023
Developing an Implicit Solvation Machine Learning Model for Molecular Simulations of Ionic MediaAmaury Coste, Ema Slejko, Julija Zavadlav, et al.
The Journal of Chemical Physics|February 3, 2026
Achieving all-atom molecular dynamics accuracy from the Poisson-Boltzmann method through machine learningEma Slejko, Amaury Coste, Tilen Potisk, et al.
Pageof 1