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

Exploration of Carbon Nanotube Forest Synthesis-Structure Relationships Using Physics-Based Simulation and Machine Learning. Hajilounezhad, T., Oraibi, Z. A., Surya, R., Bunyak, F., Maschmann, M. R., Calyam, P., & Palaniappan, K. In 48th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2019, Washington, DC, USA, October 15-17, 2019, pages 1–8, 2019. IEEE.

Paper doi bibtex

@inproceedings{DBLP:conf/aipr/HajilounezhadOS19,
  author       = {Taher Hajilounezhad and
                  Zakariya A. Oraibi and
                  Ramakrishna Surya and
                  Filiz Bunyak and
                  Matthew R. Maschmann and
                  Prasad Calyam and
                  Kannappan Palaniappan},
  title        = {Exploration of Carbon Nanotube Forest Synthesis-Structure Relationships
                  Using Physics-Based Simulation and Machine Learning},
  booktitle    = {48th {IEEE} Applied Imagery Pattern Recognition Workshop, {AIPR} 2019,
                  Washington, DC, USA, October 15-17, 2019},
  pages        = {1--8},
  publisher    = {{IEEE}},
  year         = {2019},
  url          = {https://doi.org/10.1109/AIPR47015.2019.9316542},
  doi          = {10.1109/AIPR47015.2019.9316542},
  timestamp    = {Mon, 05 Feb 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/aipr/HajilounezhadOS19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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