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

Christopher Kuenneth

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Nature Communications|July 11, 2023
polyBERT: a chemical language model to enable fully machine-driven ultrafast polymer informaticsChristopher Kuenneth, Rampi Ramprasad
Chemistry of Materials : a Publication of the American Chemical Society|March 6, 2023
Polymer Informatics at Scale with Multitask Graph Neural NetworksRishi Gurnani, Christopher Kuenneth, Aubrey Toland, et al.
The Journal of Physical Chemistry. A|November 3, 2020
An Efficient Deep Learning Scheme To Predict the Electronic Structure of Materials and Molecules: The Example of Graphene-Derived AllotropesBeatriz G Del Rio, Christopher Kuenneth, Huan Doan Tran, et al.
Patterns (New York, N.Y.)|May 13, 2021
Polymer informatics with multi-task learningChristopher Kuenneth, Arunkumar Chitteth Rajan, Huan Tran, et al.
Macromolecular Rapid Communications|January 6, 2026
Structure-Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical EnsemblesJulian Kimmig, Yannik Köster, Timo Koswig, et al.
Nature Communications|August 21, 2024
Author Correction: AI-assisted discovery of high-temperature dielectrics for energy storageRishi Gurnani, Stuti Shukla, Deepak Kamal, et al.
Nature Communications|July 19, 2024
AI-assisted discovery of high-temperature dielectrics for energy storageRishi Gurnani, Stuti Shukla, Deepak Kamal, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Nature Communications|July 11, 2023
polyBERT: a chemical language model to enable fully machine-driven ultrafast polymer informaticsChristopher Kuenneth, Rampi Ramprasad
Chemistry of Materials : a Publication of the American Chemical Society|March 6, 2023
Polymer Informatics at Scale with Multitask Graph Neural NetworksRishi Gurnani, Christopher Kuenneth, Aubrey Toland, et al.
The Journal of Physical Chemistry. A|November 3, 2020
An Efficient Deep Learning Scheme To Predict the Electronic Structure of Materials and Molecules: The Example of Graphene-Derived AllotropesBeatriz G Del Rio, Christopher Kuenneth, Huan Doan Tran, et al.
Patterns (New York, N.Y.)|May 13, 2021
Polymer informatics with multi-task learningChristopher Kuenneth, Arunkumar Chitteth Rajan, Huan Tran, et al.
Macromolecular Rapid Communications|January 6, 2026
Structure-Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical EnsemblesJulian Kimmig, Yannik Köster, Timo Koswig, et al.
Nature Communications|August 21, 2024
Author Correction: AI-assisted discovery of high-temperature dielectrics for energy storageRishi Gurnani, Stuti Shukla, Deepak Kamal, et al.
Nature Communications|July 19, 2024
AI-assisted discovery of high-temperature dielectrics for energy storageRishi Gurnani, Stuti Shukla, Deepak Kamal, et al.
Pageof 1