Catalyst Property Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models. - Janghoon Ock; Chakradhar Guntuboina; Amir Barati Farimani (CoRR, 2023)

PeptideBERT: A Language Model based on Transformers for Peptide Property Prediction. - Chakradhar Guntuboina; Adrita Das; Parisa Mollaei; Seongwon Kim; Amir Barati Farimani (CoRR, 2023)

ManufacturingNet: A machine learning toolbox for engineers. - Akshay Antony; Chakradhar Guntuboina; Rishikesh Magar; Lalit Ghule; Ruchit Doshi; Aman Khalid; Sharan Seshadri; Amir Barati Farimani (SoftwareX, 2023)

AlloyBERT: Alloy Property Prediction with Large Language Models. - Akshat Chaudhari; Chakradhar Guntuboina; Hongshuo Huang; Amir Barati Farimani (CoRR, 2024)

Peptide-GPT: Generative Design of Peptides using Generative Pre-trained Transformers and Bio-informatic Supervision. - Aayush Shah; Chakradhar Guntuboina; Amir Barati Farimani (CoRR, 2024)

Multi-Peptide: Multimodality Leveraged Language-Graph Learning of Peptide Properties. - Srivathsan Badrinarayanan; Chakradhar Guntuboina; Parisa Mollaei; Amir Barati Farimani (J. Chem. Inf. Model., 2025)