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

Ardita Shkurti

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
Journal of Computational Chemistry|January 3, 2013
Acceleration of coarse grain molecular dynamics on GPU architecturesArdita Shkurti, Mario Orsi, Enrico Macii, et al.
Journal of Chemical Information and Modeling|September 25, 2019
Utilizing Machine Learning for Efficient Parameterization of Coarse Grained Molecular Force FieldsJames L McDonagh, Ardita Shkurti, David J Bray, et al.
Journal of Chemical Theory and Computation|January 9, 2019
CoCo-MD: A Simple and Effective Method for the Enhanced Sampling of Conformational SpaceArdita Shkurti, Ioanna Danai Styliari, Vivek Balasubramanian, et al.
Scientific Data|November 26, 2025
A dataset for aqueous surfactant phase behavior as a function of temperature and compositionFelix Rummel, Patrick B Warren, David J Bray, et al.
Proteins|March 14, 2012
Multiscale modeling of cellular actin filaments: from atomistic molecular to coarse-grained dynamicsMarco A Deriu, Ardita Shkurti, Giulia Paciello, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Journal of Computational Chemistry|January 3, 2013
Acceleration of coarse grain molecular dynamics on GPU architecturesArdita Shkurti, Mario Orsi, Enrico Macii, et al.
Journal of Chemical Information and Modeling|September 25, 2019
Utilizing Machine Learning for Efficient Parameterization of Coarse Grained Molecular Force FieldsJames L McDonagh, Ardita Shkurti, David J Bray, et al.
Journal of Chemical Theory and Computation|January 9, 2019
CoCo-MD: A Simple and Effective Method for the Enhanced Sampling of Conformational SpaceArdita Shkurti, Ioanna Danai Styliari, Vivek Balasubramanian, et al.
Scientific Data|November 26, 2025
A dataset for aqueous surfactant phase behavior as a function of temperature and compositionFelix Rummel, Patrick B Warren, David J Bray, et al.
Proteins|March 14, 2012
Multiscale modeling of cellular actin filaments: from atomistic molecular to coarse-grained dynamicsMarco A Deriu, Ardita Shkurti, Giulia Paciello, et al.
Pageof 1