Rishikesh Magar

发表

Orbital Graph Convolutional Neural Network for Material Property Prediction

M. Karamad, Rishikesh Magar, Yuting Shi, 2020, ArXiv.

MOFormer: Self-Supervised Transformer Model for Metal–Organic Framework Property Prediction

Rishikesh Magar, A. Farimani, Zhonglin Cao, 2022, Journal of the American Chemical Society.

Understanding mutation hotspots for the SARS-CoV-2 spike protein using Shannon Entropy and K-means clustering

Rishikesh Magar, A. Farimani, Aastha Jhunjhunwala, 2021, Computers in Biology and Medicine.

Isolating Specific vs. Non-Specific Binding Responses in Conducting Polymer Biosensors for Bio-Fingerprinting

Amir Barati Farimani, Rishikesh Magar, B. Reeja-Jayan, 2021, Sensors.

Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast

Rishikesh Magar, A. Farimani, Chen Liang, 2022, J. Chem. Inf. Model..

Crystal twins: self-supervised learning for crystalline material property prediction

Rishikesh Magar, A. Barati Farimani, Yuyang Wang, 2022, npj Computational Materials.

Forecasting COVID-19 new cases using deep learning methods

Rishikesh Magar, A. Farimani, Lu Xu, 2022, Computers in Biology and Medicine.

FaultNet: A Deep Convolutional Neural Network for Bearing Fault Classification pdf

Yang Zhao, Amir Barati Farimani, Rishikesh Magar, 2020, IEEE Access.

Learning from mistakes: Sampling strategies to efficiently train machine learning models for material property prediction

Rishikesh Magar, A. Barati Farimani, Amir Barati Farimani, 2023, Computational Materials Science.

Potential neutralizing antibodies discovered for novel corona virus using machine learning

Amir Barati Farimani, Rishikesh Magar, Prakarsh Yadav, 2020, Scientific Reports.

Bio-informed Protein Sequence Generation for Multi-class Virus Mutation Prediction

Rishikesh Magar, A. Farimani, Prakarsh Yadav, 2020, bioRxiv.

Heteroatom-Doped Transition Metal Nitrides for CO Electrochemical Reduction: A Density Functional Theory Screening Study

M. Karamad, Rishikesh Magar, I. Gates, 2020 .

W-Net: Dense and diagnostic semantic segmentation of subcutaneous and breast tissue in ultrasound images by incorporating ultrasound RF waveform data

Gautam Rajendrakumar Gare, Rishikesh Magar, J. Galeotti, 2021, Medical Image Anal..

ManufacturingNet: A machine learning toolbox for engineers

Rishikesh Magar, Lalit Ghule, Sharan Seshadri, 2023, SoftwareX.

Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction

Rishikesh Magar, A. Farimani, Chang Xu, 2023, ArXiv.

GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction

Rishikesh Magar, Suryanarayanan Balaji, Yayati Jadhav, 2023, ArXiv.

AugLiChem: data augmentation library of chemical structures for machine learning

Amir Barati Farimani, Cooper Lorsung, Hariharan Ramasubramanian, 2021, Mach. Learn. Sci. Technol..

GPCR-BERT: Interpreting Sequential Design of G Protein-Coupled Receptors Using Protein Language Models

Rishikesh Magar, A. Farimani, Akshay Antony, 2023, J. Chem. Inf. Model..

Orbital Graph Convolutional Neural Network for Material Property Prediction

M. Karamad, Rishikesh Magar, Yuting Shi, 2020, Physical Review Materials.

GPCR-BERT: Interpreting Sequential Design of G Protein-Coupled Receptors Using Protein Language Models.

Rishikesh Magar, Amir Barati Farimani, Akshay Antony, 2024, Journal of chemical information and modeling.

Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis

Rishikesh Magar, A. Farimani, Akshay Antony, 2024, ArXiv.