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Exploration of Carbon Nanotube Forest Synthesis-Structure Relationships Using Physics-Based Simulation and Machine Learning.

, , , , , , and . AIPR, page 1-8. IEEE, (2019)

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Learning-based Image Analytics in User-AI Agent Interactions for Cyber-enabled Manufacturing., , , , , , , , , and . ICHMS, page 1-7. IEEE, (2024)Predicting Mechanical Properties of Carbon Nanotube (CNT) Images Using Multi-Layer Synthetic Finite Element Model Simulations., , , , , , , and . ICIP, page 3264-3268. IEEE, (2023)Reinforcement Learning based Carbon Nanotube Growth Automation., , , and . AIPR, page 1-10. IEEE, (2021)Creating semi-Quanta multi-layer synthetic CNT images using CycleGAN., , , , , , and . AIPR, page 1-6. IEEE, (2023)CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks., , , , , and . CVPR Workshops, page 3428-3437. IEEE, (2023)Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery., , , , , and . ECCV Workshops (8), volume 13808 of Lecture Notes in Computer Science, page 412-428. Springer, (2022)Exploration of Carbon Nanotube Forest Synthesis-Structure Relationships Using Physics-Based Simulation and Machine Learning., , , , , , and . AIPR, page 1-8. IEEE, (2019)