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Patents & Publications

Our research in artificial intelligence, machine learning, and computational materials science is published in peer-reviewed journals and protected by patents.

3
Patents and patent applications
10
Journal articles and preprints
2015
Publishing since

PATENTS

Protected Innovation

Inventions from our team in AI-driven product design, materials discovery, and energy storage.

PATENT PENDING

Autonomous Platform for Product Design and Optimization Using Large Language Models and Evolutionary Algorithms

Inventors: Duy Nhat Phan, Rahul Bhowmik

Patent No. 20260320308

Search on USPTO
GRANTED

Lithium-Ion Conductor

Inventors: Rahul Bhowmik, Jitendra Kumar, Yuxing Wang

Patent No. US11557751B2

View patent
PATENT PENDING

Machine Learning Platform for Anti-Flammability Materials

Inventors: Duy Nhat Phan, Rahul Bhowmik, Lokendra Poudel

Patent No. 20260229317

View application

For patent 20260320308, enter the number in the Quick Lookup box of the USPTO Patent Public Search.

PUBLICATIONS

Peer-Reviewed Research

Selected journal articles and preprints, newest first. Polaron team members are shown in bold.

ADDITIVE MANUFACTURING

Advanced Predictive Quality Assessment for Ultrasonic Additive Manufacturing with Deep Learning Model

Lokendra Poudel, Sushant Jha, Ryan Meeker, Duy-Nhat Phan, Rahul Bhowmik

Journal of Intelligent Manufacturing, 2025

DOI 10.1007/s10845-025-02582-9
ADDITIVE MANUFACTURING

Scalable Artificial Intelligence Framework for Defect Detection in Metal Additive Manufacturing

Duy Nhat Phan, Sushant Jha, James P. Mavo, Erin L. Lanigan, Linh Nguyen, Lokendra Poudel, Rahul Bhowmik

The International Journal of Advanced Manufacturing Technology, 2025

DOI 10.1007/s00170-025-17114-1
POLYMERS

A Machine Learning Platform for Polymer Flammability Prediction

Duy Nhat Phan, Alexander B. Morgan, Lokendra Poudel, Rahul Bhowmik

Polymer Degradation and Stability, 2025, 240, 111411

DOI 10.1016/j.polymdegradstab.2025.111411
ENERGY AND ENVIRONMENT

Deep Learning-Enhanced for Amine Emission Monitoring and Performance Analysis in Industrial Carbon Capture Plants

Lokendra Poudel, David Tincher, Duy Nhat Phan, Rahul Bhowmik

arXiv preprint, 2025

arXiv 2509.05241
MATERIALS DESIGN

Interpretable Machine Learning for Materials Design

James Dean, Matthias Scheffler, Thomas A. R. Purcell, Sergey V. Barabash, Rahul Bhowmik, Timur Bazhirov

Journal of Materials Research, 2023, 38, 4477

DOI 10.1557/s43578-023-01164-w
POLYMERS

Prediction of the Specific Heat of Polymers from Experimental Data and Machine Learning Methods

Rahul Bhowmik, Sangwook Sihn, Ruth Pachter, Jonathan P. Vernon

Polymer, 2021, 220, 123558

DOI 10.1016/j.polymer.2021.123558
ENERGY AND ENVIRONMENT

A Review on Municipal Solid Waste-to-Energy Trends in the USA

Chandrani Mukherjee, Jacob Deney, Eric G. Mbonimpa, Jeremy M. Slagley, Rahul Bhowmik

Renewable and Sustainable Energy Reviews, 2020, 119, 109512

DOI 10.1016/j.rser.2019.109512
POLYMERS

Calculation of Specific Heat of Polymers Using Molecular Dynamics Simulations

Rahul Bhowmik, Sangwook Sihn, Vikas Varshney, Ajit K. Roy, Jonathan P. Vernon

Polymer, 2019, 167, 176

DOI 10.1016/j.polymer.2019.02.013
FLEXIBLE ELECTRONICS

Prediction of the Wetting Behavior of Active and Hole-Transport Layers for Printed Flexible Electronic Devices Using Molecular Dynamics Simulations

Rahul Bhowmik, Rajiv J. Berry, Michael F. Durstock, Benjamin J. Leever

ACS Applied Materials & Interfaces, 2017, 9, 19269–19277

DOI 10.1021/acsami.6b14786
FLEXIBLE ELECTRONICS

Molecular Modeling of Interfaces between Hole Transport and Active Layers in Flexible Organic Electronic Devices

Rahul Bhowmik, Rajiv J. Berry, Vikas Varshney, Michael F. Durstock, Benjamin J. Leever

The Journal of Physical Chemistry C, 2015, 119, 27909–27918

DOI 10.1021/acs.jpcc.5b09765

Interested in Collaborating on Research?

We team with universities, national laboratories, and industry partners on Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) programs.

Contact Our Research Team