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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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Fluorescence-based temperature sensor for in-situ imaging local temperature of aluminum nanoparticles on plasmonic gratings., , , , , , , and . IEEE SENSORS, page 1-3. IEEE, (2016)Learning-based Image Analytics in User-AI Agent Interactions for Cyber-enabled Manufacturing., , , , , , , , , and . ICHMS, page 1-7. IEEE, (2024)Single-molecule Imaging of Metallic Nanostructures on a Plasmonic Metal Grating Superlens., , , , , , , and . BIBM, page 2446-2452. IEEE Computer Society, (2018)Predicting Mechanical Properties of Carbon Nanotube (CNT) Images Using Multi-Layer Synthetic Finite Element Model Simulations., , , , , , , and . ICIP, page 3264-3268. IEEE, (2023)Deep Style Transfer for Generation of Photo-realistic Synthetic Images of CNT Forests., , , and . AIPR, page 1-7. IEEE, (2023)Aiding Material Design Through Machine Learning., , , and . AIPR, page 1-5. IEEE, (2020)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)Investigating the Electromechanical Sensitivity of Carbon-Nanotube-Coated Microfibers., , , , and . Sensors, 23 (11): 5190 (2023)CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks., , , , , and . CVPR Workshops, page 3428-3437. IEEE, (2023)