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

David Sondak

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
Physical Review. E|October 16, 2021
Learning a reduced basis of dynamical systems using an autoencoderDavid Sondak, Pavlos Protopapas
Physical Review. E|July 20, 2022
Hamiltonian neural networks for solving equations of motionMarios Mattheakis, David Sondak, Akshunna S Dogra, et al.
Physical Review. E|October 16, 2021
Port-Hamiltonian neural networks for learning explicit time-dependent dynamical systemsShaan A Desai, Marios Mattheakis, David Sondak, et al.
Physical Review. E|January 14, 2017
Can phoretic particles swim in two dimensions?David Sondak, Cory Hawley, Siyu Heng, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Physical Review. E|October 16, 2021
Learning a reduced basis of dynamical systems using an autoencoderDavid Sondak, Pavlos Protopapas
Physical Review. E|July 20, 2022
Hamiltonian neural networks for solving equations of motionMarios Mattheakis, David Sondak, Akshunna S Dogra, et al.
Physical Review. E|October 16, 2021
Port-Hamiltonian neural networks for learning explicit time-dependent dynamical systemsShaan A Desai, Marios Mattheakis, David Sondak, et al.
Physical Review. E|January 14, 2017
Can phoretic particles swim in two dimensions?David Sondak, Cory Hawley, Siyu Heng, et al.
Pageof 1