6 citations · 6 across the 3 of their papers we have counts for
4 papers
Reducing the Gate-Induced Drain-Leakage Current of Carbon-Nanotube Transistors by Subliming Dispersants with Back-End-of-Line Compatible Temperature
Takumi Inaba, Yuichi Kato, Yoko Iizumi +4
Carbon nanotube field-effect transistors (CNTFETs) are promising for monolithic 3D integration with silicon CMOS circuits in back-end-of-line (BEOL) processes. Further reduction in…
Explainable Multimodal Machine Learning for Revealing Structure-Property Relationships in Carbon Nanotube Fibers
Daisuke Kimura, Naoko Tajima, Toshiya Okazaki +1
In this study, we propose Explainable Multimodal Machine Learning (EMML), which integrates the analysis of diverse data types (multimodal data) using factor analysis for feature ex…
Tabular Two-Dimensional Correlation Analysis for Multifaceted Characterization Data
Shun Muroga, Satoshi Yamazaki, Koji Michishio +5
We propose tabular two-dimensional correlation analysis for extracting features from multifaceted characterization data, essential for understanding material properties. This metho…
One-Dimensional Crystallographic Etching of Few-Layer WS
Shisheng Li, Yung-Chang Lin, Yiling Chiew +12
Layer number-dependent band structures and symmetry are vital for the electrical and optical characteristics of two-dimensional (2D) transition metal dichalcogenides (TMDCs). Harve…