Rampi Ramprasad

According to our database, Rampi Ramprasad authored at least 21 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Physics-Enforced Neural Network to Predict Polymer Melt Viscosity.

Ayush Jain, Rishi Gurnani, Arunkumar Rajan, H. Jerry Qi, Rampi Ramprasad

CoRR, 2024

Accelerating materials discovery for polymer solar cells: Data-driven insights enabled by natural language processing.

Pranav Shetty, Aishat Adeboye, Sonakshi Gupta, Chao Zhang, Rampi Ramprasad

CoRR, 2024

POLYIE: A Dataset of Information Extraction from Polymer Material Scientific Literature.

Jerry Junyang Cheung, Yuchen Zhuang, Yinghao Li, Pranav Shetty, Wantian Zhao, Sanjeev Grampurohit, Rampi Ramprasad, Chao Zhang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction.

Yinghao Li, Rampi Ramprasad, Chao Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

PolyGET: Accelerating Polymer Simulations by Accurate and Generalizable Forcefield with Equivariant Transformer.

Rui Feng, Huan Tran, Aubrey Toland, Binghong Chen, Qi Zhu, Rampi Ramprasad, Chao Zhang

CoRR, 2023

May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations.

Rui Feng, Qi Zhu, Huan Tran, Binghong Chen, Aubrey Toland, Rampi Ramprasad, Chao Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics.

Christopher Künneth, Rampi Ramprasad

CoRR, 2022

A general-purpose material property data extraction pipeline from large polymer corpora using Natural Language Processing.

Pranav Shetty, Arunkumar Chitteth Rajan, Christopher Künneth, Sonakshi Gupta, Lakshmi Prerana Panchumarti, Lauren Holm, Chao Zhang, Rampi Ramprasad

CoRR, 2022

Bioplastic Design using Multitask Deep Neural Networks.

Christopher Künneth, Jessica Lalonde, Babetta L. Marrone, Carl N. Iverson, Rampi Ramprasad, Ghanshyam Pilania

CoRR, 2022

Concentric Spherical Neural Network for 3D Representation Learning.

James Fox, Bo Zhao, Beatriz Gonzalez del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Polymer informatics with multi-task learning.

Christopher Künneth, Arunkumar Chitteth Rajan, Huan Tran, Lihua Chen, Chiho Kim, Rampi Ramprasad

Patterns, 2021

Machine-Guided Polymer Knowledge Extraction Using Natural Language Processing: The Example of Named Entity Normalization.

Pranav Shetty, Rampi Ramprasad

J. Chem. Inf. Model., 2021

Copolymer Informatics with Multi-Task Deep Neural Networks.

Christopher Künneth, William Schertzer, Rampi Ramprasad

CoRR, 2021

Concentric Spherical GNN for 3D Representation Learning.

James Fox, Bo Zhao, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song

CoRR, 2021

2020

Prediction of water stability of metal-organic frameworks using machine learning.

Rohit Batra, Carmen Chen, Tania G. Evans, Krista S. Walton, Rampi Ramprasad

Nat. Mach. Intell., 2020

A charge density prediction model for hydrocarbons using deep neural networks.

Deepak Kamal, Anand Chandrasekaran, Rohit Batra, Rampi Ramprasad

Mach. Learn. Sci. Technol., 2020

Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders.

Rohit Batra, Hanjun Dai, Tran Doan Huan, Lihua Chen, Chiho Kim, Will R. Gutekunst, Le Song, Rampi Ramprasad

CoRR, 2020

Polymer Informatics: Current Status and Critical Next Steps.

Lihua Chen, Ghanshyam Pilania, Rohit Batra, Tran Doan Huan, Chiho Kim, Christopher Künneth, Rampi Ramprasad

CoRR, 2020

2019

Critical Assessment of the Hildebrand and Hansen Solubility Parameters for Polymers.

Shruti Venkatram, Chiho Kim, Anand Chandrasekaran, Rampi Ramprasad

J. Chem. Inf. Model., 2019

2015

Novel Randomized Feature Selection Algorithms.

Subrata Saha, Sanguthevar Rajasekaran, Rampi Ramprasad

Int. J. Found. Comput. Sci., 2015

2013

New Group IV Chemical Motifs for Improved Dielectric Permittivity of Polyethylene.

G. Pilania, C. C. Wang, K. Wu, Nagamani Sukumar, Curt M. Breneman, G. Sotzing, Rampi Ramprasad

J. Chem. Inf. Model., 2013