Showing results (1-10 of 76) with videos related to
Sort By:
Pageof 8
Nature Communications|July 11, 2023
polyBERT: a chemical language model to enable fully machine-driven ultrafast polymer informaticsChristopher Kuenneth, Rampi RamprasadChemistry 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.Journal of Chemical Information and Modeling|November 9, 2021
Machine-Guided Polymer Knowledge Extraction Using Natural Language Processing: The Example of Named Entity NormalizationPranav Shetty, Rampi RamprasadThe Journal of Chemical Physics|June 15, 2020
Predicting the dynamic behavior of the mechanical properties of platinum with machine learningJames Chapman, Rampi RamprasadIscience|January 18, 2021
Automated knowledge extraction from polymer literature using natural language processingPranav Shetty, Rampi RamprasadThe Journal of Physical Chemistry Letters|July 2, 2020
Polymer Structure Prediction from First PrinciplesTran Doan Huan, Rampi RamprasadChemistry of Materials : a Publication of the American Chemical Society|September 29, 2025
A Learning Framework for Atomic-Level Polymer Structure GenerationAyush Jain, Ashutosh Srivastava, Rampi RamprasadPhysical Review Letters|May 13, 2017
Ab Initio Green-Kubo Approach for the Thermal Conductivity of SolidsChristian Carbogno, Rampi Ramprasad, Matthias SchefflerPageof 8