Publications and Research Outputs

Peer-Reviewed Journal Articles

2025

1. Borun Das, Andrew Peters, Guoqiang Li, and Xiali Hei.
   “Prompt2Poly: Ask, Specify, Create—A Dialogue-Based Large Language Model for Targeted TSMP Design.”
   Polymer Chemistry, 16(45), 4918–4933, 2025.

2. Borun Das, Andrew Peters, Guoqiang Li, and Xiali Hei.
   “Generative Design of Thermoset Shape Memory Polymers Driven by Chemical Group: A Conditional Variational Autoencoder Approach.”
   Journal of Polymer Science, 63(6), 1334–1344, 2025.

Accepted for Publication

1. Borun Das and Abir Nag Bulbul.
   “Beyond Governing-Equation Residuals: Verification and Validation of Physics-Informed Neural Networks for Forward Structural-Dynamic Response Prediction.”
   Accepted for publication as a Convergence Review in Frontiers in Mechanical Engineering, Research Topic: On the Application of Theory-Trained Neural Networks to Solid and Structural Mechanics, 2026.

Manuscripts Under Review

Manuscripts in Preparation

1. Borun Das, Andrew Peters, Guoqiang Li, and Xiali Hei.
   “Reward-Guided LLMs for Constrained Scientific Generation: Lessons from Thermoset Shape-Memory Polymer Design.”

2. Borun Das, Andrew Peters, Guoqiang Li, and Xiali Hei.
   “RePolyGen: Reward-Guided LLMs for Multi-Constraint TSMP Generation.”
   Manuscript prepared; experimental validation of generated candidates is in progress prior to journal submission.

3. Borun Das, Abir Nag Bulbul, and Mahmud Hasan.
   “Toward Intelligent Telesurgery: Generative and Agentic AI for Predictive and Autonomous Surgical Assistance.”
   Review manuscript in preparation.

4. Mahmud Hasan and Borun Das.
   “Reference-Free and Unpaired Quality Assessment in Medical Imaging: From Blind Perceptual Metrics to Distributional and Task-Aware Evaluation.”
   Review manuscript in preparation.

Conference Papers and Proceedings

2022

1. Borun Das, Mahmud Hasan, and Rafi Belal.
   “A Deep Learning Approach for Detecting Medical Face Masks on Human Faces in Response to COVID-19.”
   In Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, Springer, pp. 727–732, 2022.

Conference Presentations

2026

1. Borun Das, Andrew Peters, Guoqiang Li, and Xiali Hei.
   “From Planning Steps to Candidate Polymers: Completion-Based Process Rewards for Property-Constrained TSMP Generation.”
   Accepted for oral presentation at the 2026 Conference on Advances in Interdisciplinary Statistics and Combinatorics (AISC 2026), University of Louisiana at Lafayette, Lafayette, Louisiana, October 2026.

Poster Presentations

2024

• Borun Das, Guoqiang Li, and Xiali Hei.
  “Chemical Group-Driven Generation of Multi-Monomer Thermoset Shape Memory Polymers Using Generative Conditional Variational Autoencoder.”
  Louisiana Materials Design Alliance (LAMDA) Symposium, 2024.

2023

• Borun Das, Guoqiang Li, and Xiali Hei.
  “Unveiling Thermoset Shape Memory Polymers through RNN.”
  Louisiana Materials Design Alliance (LAMDA) Symposium, 2023.