Exploration of Carbon Nanotube Forest Synthesis-Structure Relationships Using Physics-Based Simulation and Machine Learning. - Taher Hajilounezhad; Zakariya A. Oraibi; Ramakrishna Surya; Filiz Bunyak; Matthew R. Maschmann; Prasad Calyam; Kannappan Palaniappan (AIPR, 2019)

Reinforcement Learning based Carbon Nanotube Growth Automation. - Ashish Pandey; Ramakrishna Surya; Matthew R. Maschmann; Prasad Calyam (AIPR, 2021)

Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery. - Nguyen P. Nguyen; Ramakrishna Surya; Matthew R. Maschmann; Prasad Calyam; Kannappan Palaniappan; Filiz Bunyak (ECCV Workshops (8), 2022)

Creating semi-Quanta multi-layer synthetic CNT images using CycleGAN. - Kaveh Safavigerdini; Ramakrishna Surya; Andrew Reinhard; Zach Quinlan; Filiz Bunyak; Matthew R. Maschmann; Kannappan Palaniappan (AIPR, 2023)

CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks. - Nguyen P. Nguyen; Ramakrishna Surya; Prasad Calyam; Kannappan Palaniappan; Matthew R. Maschmann; Filiz Bunyak (CVPR Workshops, 2023)

Predicting Mechanical Properties of Carbon Nanotube (CNT) Images Using Multi-Layer Synthetic Finite Element Model Simulations. - Kaveh Safavigerdini; Koundinya Nouduri; Ramakrishna Surya; Andrew Reinhard; Zach Quinlan; Filiz Bunyak; Matthew R. Maschmann; Kannappan Palaniappan (ICIP, 2023)

Learning-based Image Analytics in User-AI Agent Interactions for Cyber-enabled Manufacturing. - Mauro Lemus Alarcon; Upasana Roy; Anirudh Kambhampati; Nguyen P. Nguyen; Minasadat Attari; Ramakrishna Surya; Filiz Bunyak; Matthew R. Maschmann; Kannappan Palaniappan; Prasad Calyam (ICHMS, 2024)