CNT production technology - Honda Research Institute USA

CNT production technology

CNT production technology

This research is focused on scale-up technology for continuous synthesis of SWNTs by CVD method and the exploration of their performance in actual electrochemical devices

Production of carbon nanotubes consistently grows worldwide and it is projected to reach about 10,000 tons in 2019 with production capacity up to 20,000 tons. Importantly this trend accompanies with dramatic reduction of the cost from few hundred dollars per gram down to about dollar or even less (for MWNTs). This progress of course catalyzes nanotube’s broader exploitation in various industrial areas, which dramatically expanding traditional product properties and paves the paths for large-scale applications of this unique material that could potentially revolutionize the properties of new products, particularly for smart and multifunctional materials.

Based on our studies we confirmed the scale-up production of SWNTs via catalytic chemical vapor deposition (CCVD) method.

The method involves the injection of pre-prepared alumina supported iron based catalyst powder into a vertical floating tubular reactor. The product is collected in several cyclones connected in series.

Publications

Findings of the Association for Computational Linguistics: ACL 2025. 2025
Lingjun Zhao, Mingyang Xie, Paola Cascante-Bonilla, Hal Daumé III, Kwonjoon Lee
Findings of the Association for Computational Linguistics: ACL 2025. 2025
Huaizhi Qu, Xinyu Zhao, Jie Peng, Kwonjoon Lee, Behzad Dariush, Tianlong Chen
International Conference on Machine Learning (ICML), 2025 [Spotlight, top 2.6% submittions] 2025
Chunhui Zhang, Zhongyu Ouyang, Kwonjoon Lee, Nakul Agarwal, Sean Dae Houlihan, Soroush Vosoughi, Shao-Yuan Lo
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. 2025
Haoqiang Kang, Enna Sachdeva, Piyush Gupta, Sangjae Bae, Kwonjoon Lee
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 [Highlight, top 3.7% submittions] 2025
Bardia Safaei, Faizan Siddiqui, Jiacong Xu, Vishal M. Patel, Shao-Yuan Lo
Robotics Science and Systems (RSS), 2025 2025
Sirui Chen, Sergio Francisco Aguilera Marinovic, Soshi Iba, Rana Soltani Zarrin
International Journal of Computer Vision (IJCV) [IF=11.6] 2025
Yuxiang Guo, Faizan Siddiqui, Yang Zhao, Rama Chellappa, Shao-Yuan Lo
RSS 2025 - Workshop on Learned Robot Representations 2025
Fan Yang, Sergio Francisco Aguilera Marinovic, Soshi Iba, Rana Soltani Zarrin, Dmitry Berenson
CVPRW 2025 2025
Zhihao Zhao, Reza Ghoddoosian, Isht Dwivedi, Nakul Agarwal, Behzad Dariush
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 [Highlight, top 3.7% submittions] 2025
Jiacong Xu, Shao-Yuan Lo, Bardia Safaei, Vishal M. Patel, Isht Dwivedi
Robotics Science and Systems (RSS) 2025 - Workshop on Out-of-Distribution Generalization in Robotics 2025
Zifan Zhao, Siddhant Haldar, Jinda Cui, Lerrel Pinto,
IEEE International Conference on Learning Representations (ICRA), 2025. 2025
Piyush Gupta, David Isele, Enna Sachdeva, Pin-Hao Huang, Behzad Dariush, Kwonjoon Lee, Sangjae Bae
Physical Review Letters 134, 183603 (2025) 2025
Hanfeng Wang, Shuang Wu, Kurt Jacobs, Yuqin Duan, Dirk R Englund, Matthew E Trusheim
ICRA 2025 2025
David Isele, Alexandre Miranda A˜non, Faizan M. Tariq, Goro Yeh, Avinash Singh, and Sangjae Bae
IEEE International Conference on Robotics and Automation (ICRA), 2025, 2025
Abhinav Kumar, Thomas Power, Fan Yang, Sergio Aguilera Marinovic, Soshi Iba, Rana Soltani Zarrin, Dmitry Berenson
ICRA 2025 2025
Max Muchen Sun, Peter Trautman, and Todd Murphey
NAFEMS World Congress; 2025 2025
Ali Nassiri, Phillip Aquino, Allen Sheldon, Sogol Lotfi, Duane Detwiler
International Conference on Learning Representations (ICLR), 2025 2025
Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Behzad Dariush, Kwonjoon Lee, Yilun Du, Chuang Gan
Ohio State Materials and Manufacturing Conference 2025
Phillip Aquino
International Conference on Acoustics, Speech and Signal Processing 2025
Abinay Reddy Naini, Zhaobo Zheng, Teruhisa Misu, Kumar Akash