Invited Speakers
Guohai Chen
Senior researcher, National Institute of Advanced Industrial Science and Technology (AIST), JapanSpeech Title: Advanced Synthesis of Highly Crystalline Carbon Nanotubes and High Aspect Ratio Structures for Multifunctional Applications
Abstract: The precise synthesis and versatile applications of carbon nanotubes (CNTs) are essential for advancing nanotechnology and leveraging their extraordinary properties across various domains [1, 2]. Machine learning has emerged as a powerful tool in CNT research, enabling optimization of synthesis and application development [3-5]. In this talk, we introduce a machine-learning-assisted approach to address the trade-off between crystallinity and growth efficiency in CNT synthesis [5]. Additionally, by utilizing a multi-step chemical vapor deposition (CVD) reactor combined with atmospheric microplasma, we achieved the production of highly crystalline CNTs [6-8]. In addition to synthesis, we demonstrate the practical applications of CNTs. High aspect ratio (60:1), free-standing, 1.2 mm-tall, 20 μm-diameter vertically aligned CNT post arrays were fabricated [9]. These CNT posts served as neural probes, exhibiting rapid electrochemical responses to methyl viologen and dopamine. Furthermore, they were incorporated into CNT-Cu composites for through-silicon-via interposers, showcasing copper-level electrical conductivity and silicon-level low thermal expansion [10]. Our work highlights the integration of advanced synthesis techniques and precise structural manipulation to address critical challenges in CNT research, including trade-offs in structural control and productivity. These advancements demonstrate the potential of CNTs in diverse applications, driving progress in nanomaterials science.
Keywords: Carbon nanotube, microplasma, crystallinity, neural probe, interposer
Acknowledgements: G.H. Chen acknowledges support from JSPS KAKENHI Grant Number JP23K04552.
Reference:
[1] G. H. Chen, et al., ACS Nano 7 (2013) 10218-10224.
[2] D.-M. Tang, et al., G. H. Chen, et al., Science 374 (2021) 1616-1620.
[3] G. H. Chen, D.-M. Tang, Nanomaterials 14 (2024) 1688.
[4] G. H. Chen, et al. J Mat Sci Technol 231 (2025) 30-35.
[5] D. Lin, et al., G. H. Chen*, ACS Nano 17 (2023) 22821-22829.
[6] T. Tsuji†, G. H. Chen†, et al., Mater Today Chem 44 (2025) 102576.
[7] G. H. Chen, et al., Chem Eng J 444 (2022) 136634.
[8] T. Tsuji†, G. H. Chen†, et al., Nanomaterials 11 (2021) 3461.
[9] G. H. Chen, et al., ACS Biomater Sci Eng 4 (2018) 1900-1907.
[10] G. H. Chen, et al., ACS Appl Nano Mater 4 (2021) 869-876.
Lucien Veleva
Associate Professor, Applied Physics Department, Center for Investigation and Advanced Study, MexicoSpeech Title:
Juan Guan
Associate Professor, School of Materials Science and Engineering, Beihang University, ChinaSpeech Title:
Xianbin Huang
Associate Professor, School of Petroleum Engineering, China University of Petroleum (East China), ChinaSpeech Title:
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