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

Anne W Draelos

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

Pageof 1
Sort By:
Nano Letters|January 9, 2019
Supercurrent Flow in Multiterminal Graphene Josephson JunctionsAnne W Draelos, Ming-Tso Wei, Andrew Seredinski, et al.
Science Advances|September 25, 2019
Quantum Hall-based superconducting interference deviceAndrew Seredinski, Anne W Draelos, Ethan G Arnault, et al.
Nano Letters|July 9, 2016
Critical Current Scaling in Long Diffusive Graphene-Based Josephson JunctionsChung Ting Ke, Ivan V Borzenets, Anne W Draelos, et al.
Advances in Neural Information Processing Systems|July 2, 2026
Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learningHisham Temmar, Yixuan Wang, Nina Gill, et al.
Pageof 1

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

Sort By:
Pageof 1
Nano Letters|January 9, 2019
Supercurrent Flow in Multiterminal Graphene Josephson JunctionsAnne W Draelos, Ming-Tso Wei, Andrew Seredinski, et al.
Science Advances|September 25, 2019
Quantum Hall-based superconducting interference deviceAndrew Seredinski, Anne W Draelos, Ethan G Arnault, et al.
Nano Letters|July 9, 2016
Critical Current Scaling in Long Diffusive Graphene-Based Josephson JunctionsChung Ting Ke, Ivan V Borzenets, Anne W Draelos, et al.
Advances in Neural Information Processing Systems|July 2, 2026
Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learningHisham Temmar, Yixuan Wang, Nina Gill, et al.
Pageof 1