Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning. - Rishikesh Magar; Prakarsh Yadav; Amir Barati Farimani (CoRR, 2020)

Orbital Graph Convolutional Neural Network for Material Property Prediction. - Mohammadreza Karamad; Rishikesh Magar; Yuting Shi; Samira Siahrostami; Ian Donald Gates; Amir Barati Farimani (CoRR, 2020)

W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data. - Gautam Rajendrakumar Gare; Jiayuan Li; Rohan Joshi; Mrunal Prashant Vaze; Rishikesh Magar; Michael Yousefpour; Ricardo Luis Rodriguez; John Michael Galeotti (CoRR, 2020)

FaultNet: A Deep Convolutional Neural Network for Bearing Fault Classification. - Rishikesh Magar; Lalit Ghule; Junhan Li; Yang Zhao; Amir Barati Farimani (IEEE Access, 2021)

Understanding mutation hotspots for the SARS-CoV-2 spike protein using Shannon Entropy and K-means clustering. - Baishali Mullick; Rishikesh Magar; Aastha Jhunjhunwala; Amir Barati Farimani (Comput. Biol. Medicine, 2021)

AugLiChem: Data Augmentation Library ofChemical Structures for Machine Learning. - Rishikesh Magar; Yuyang Wang 005; Cooper Lorsung; Chen Liang; Hariharan Ramasubramanian; Peiyuan Li; Amir Barati Farimani (CoRR, 2021)

Isolating Specific vs. Non-Specific Binding Responses in Conducting Polymer Biosensors for Bio-Fingerprinting. - Phil M. Smith; Indorica Sutradhar; Maxwell Telmer; Rishikesh Magar; Amir Barati Farimani; B. Reeja-Jayan (Sensors, 2021)

Forecasting COVID-19 new cases using deep learning methods. - Lu Xu; Rishikesh Magar; Amir Barati Farimani (Comput. Biol. Medicine, 2022)

Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction. - Rishikesh Magar; Yuyang Wang 005; Amir Barati Farimani (CoRR, 2022)

MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction. - Zhonglin Cao; Rishikesh Magar; Yuyang Wang 005; Amir Barati Farimani (CoRR, 2022)

Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast. - Yuyang Wang 005; Rishikesh Magar; Chen Liang; Amir Barati Farimani (J. Chem. Inf. Model., 2022)

W-Net: Dense and diagnostic semantic segmentation of subcutaneous and breast tissue in ultrasound images by incorporating ultrasound RF waveform data. - Gautam Rajendrakumar Gare; Jiayuan Li; Rohan Joshi; Rishikesh Magar; Mrunal Prashant Vaze; Michael Yousefpour; Ricardo Luis Rodriguez; John Michael Galeotti (Medical Image Anal., 2022)

AugLiChem: data augmentation library of chemical structures for machine learning. - Rishikesh Magar; Yuyang Wang 005; Cooper Lorsung; Chen Liang; Hariharan Ramasubramanian; Peiyuan Li; Amir Barati Farimani (Mach. Learn. Sci. Technol., 2022)

Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction. - Hongshuo Huang; Rishikesh Magar; Changwen Xu; Amir Barati Farimani (CoRR, 2023)

GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction. - Suryanarayanan Balaji; Rishikesh Magar; Yayati Jadhav; 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)

Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis. - Janghoon Ock; Rishikesh Magar; Akshay Antony; Amir Barati Farimani (CoRR, 2024)

Pretraining Strategies for Structure Agnostic Material Property Prediction. - Hongshuo Huang; Rishikesh Magar; Amir Barati Farimani (J. Chem. Inf. Model., 2024)

Multimodal language and graph learning of adsorption configuration in catalysis. - Janghoon Ock; Srivathsan Badrinarayanan; Rishikesh Magar; Akshay Antony; Amir Barati Farimani (Nat. Mac. Intell., 2024)

GPCR-BERT: Interpreting Sequential Design of G Protein-Coupled Receptors Using Protein Language Models. - Seongwon Kim; Parisa Mollaei; Akshay Antony; Rishikesh Magar; Amir Barati Farimani (J. Chem. Inf. Model., 2024)

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models. - Srivathsan Badrinarayanan; Rishikesh Magar; Akshay Antony; Radheesh Sharma Meda; Amir Barati Farimani (CoRR, 2025)