Go Yamamoto

Dr. Go Yamamoto

Department of Aerospace Engineering, Tohoku University
+1
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 September 2021 in Nanomaterials
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Journal Article
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SLSoomook Lim
Soomook Lim
HPHyunsoo Park
Hyunsoo Park
Go YamamotoGo Yamamoto
Go Yamamoto
CLChanggu Lee
Changgu Lee
Ji Won SukJi Won Suk
Ji Won Suk
The intrinsic electrical conductivity of graphene is one of the key factors affecting the electrical conductance of its assemblies, such as papers, films, powders, and composites. Here, the local electrical conductivity of the individual graphene flakes was investigated using conductive atomic force microscopy (C-AFM). An isolated graphene flake connected to a pre-fabricated electrode was scanned using an electrically biased tip, which generated a current map over the flake area. The current change as a function of the distance between the tip and the electrode was analyzed analytically to estimate the contact resistance as well as the local conductivity of the flake. This method was applied to characterize graphene materials obtained using two representative large-scale synthesis methods. Monolayer graphene flakes synthesized by chemical vapor deposition on copper exhibited an electrical conductivity of 1.46 ± 0.82 × 106 S/m. Reduced graphene oxide (rGO) flakes obtained by thermal annealing of graphene oxide at 300 and 600 °C exhibited electrical conductivities of 2.3 ± 1.0 and 14.6 ± 5.5 S/m, respectively, showing the effect of thermal reduction on the electrical conductivity of rGO flakes. This study demonstrates an alternative method to characterizing the intrinsic electrical conductivity of graphene-based materials, which affords a clear understanding of the local properties of individual graphene flakes.

1 June 2019 in Composites Part A: Applied Science and Manufacturing
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Go YamamotoGo Yamamoto
Go Yamamoto
MOMiho Onodera
Miho Onodera
KKKeita Koizumi
Keita Koizumi
JWJun Watanabe
Jun Watanabe
HOHaruki Okuda
Haruki Okuda
TOTomonaga Okabe
Tomonaga Okabe

1 November 2014 in Materials Science and Engineering: A
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Journal Article
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Go YamamotoGo Yamamoto
Go Yamamoto
KSKeiichi Shirasu
Keiichi Shirasu
YNYo Nozaka
Yo Nozaka
WWWeili Wang
Weili Wang
THToshiyuki Hashida
Toshiyuki Hashida

1 June 2006 in Journal of Materials Research
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Go YamamotoGo Yamamoto
Go Yamamoto
YSYoshinori Sato
Yoshinori Sato
TTToru Takahashi
Toru Takahashi
MOMamoru Omori
Mamoru Omori
THToshiyuki Hashida
Toshiyuki Hashida
KTKazuyuki Tohji
Kazuyuki Tohji

19 March 2021 in Nanomaterials
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KSKeiichi Shirasu
Keiichi Shirasu
SKShunsuke Kitayama
Shunsuke Kitayama
FLFan Liu
Fan Liu
Go YamamotoGo Yamamoto
Go Yamamoto
THToshiyuki Hashida
Toshiyuki Hashida
To apply carbon nanotubes (CNTs) as reinforcing agents in next-generation composites, it is essential to improve their nominal strength. However, since it is difficult to completely remove the defects, the synthesis guideline for improving nominal strength is still unclear, i.e., the effective strength and the number of nanotube layers required to improve the nominal strength has been undermined. In this study, molecular dynamics simulations were used to elucidate the effects of vacancies on the mechanical properties of CNTs. Additionally, the relationships between the number of layers and effective and nominal strengths of CNTs were discussed theoretically. The presence of extensive vacancies provides a possible explanation for the low nominal strengths obtained in previous experimental measurements of CNTs. This study indicates that the nominal strength can be increased from the experimentally obtained values of 10 GPa to approximately 20 GPa by using six to nine nanotube layers, even if the increase in effective strength of each layer is small. This has advantages over double-walled CNTs, because the effective strength of such CNTs must be approximately 60 GPa to achieve a nominal strength of 20 GPa.

9 December 2020 in Nanomaterials
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YXYi Xiang
Yi Xiang
KSKoji Shimoyama
Koji Shimoyama
KSKeiichi Shirasu
Keiichi Shirasu
Go YamamotoGo Yamamoto
Go Yamamoto
Carbon nanotubes (CNTs) are novel materials with extraordinary mechanical properties. To gain insight on the design of high-mechanical-performance CNT-reinforced composites, the optimal structure of CNTs with high nominal tensile strength was determined in this study, where the nominal values correspond to the cross-sectional area of the entire specimen, including the hollow core. By using machine learning-assisted high-throughput molecular dynamics (HTMD) simulation, the relationship among the following structural parameters/properties was investigated: diameter, number of walls, chirality, and crosslink density. A database, comprising the various tensile test simulation results, was analyzed using a self-organizing map (SOM). It was observed that the influence of crosslink density on the nominal tensile strength tends to gradually decrease from the outside to the inside; generally, the crosslink density between the outermost wall and its adjacent wall is highly significant. In particular, based on our calculation conditions, five-walled, armchair-type CNTs with an outer diameter of 43.39 Å and crosslink densities (between the inner wall and outer wall) of 1.38 ± 1.16%, 1.13 ± 0.69%, 1.54 ± 0.57%, and 1.36 ± 0.35% were believed to be the optimal structure, with the nominal tensile strength and nominal Young’s modulus reaching approximately 58–64 GPa and 677–698 GPa.