九州大学 研究者情報
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基本情報 研究活動 教育活動 社会活動
CANNON JAMES(かのん じえーむず) データ更新日:2021.07.05

准教授 /  工学研究院


主な研究テーマ
分子動力学シミュレーションを用いて熱物性や素変化現象を評価する
キーワード:熱物性, 素変化, 冷却
2016.04.
従事しているプロジェクト研究
Ramen spectroscopy with machine learning
2021.04~2022.03
Using Machine Learning to predict material properties using Ramen spectroscopy.
研究業績
主要原著論文
1. L. Manjunatha, H. Takamatsu, J. J. Cannon, Atomic-level breakdown of Green–Kubo relations provides new insight into the mechanisms of thermal conduction, Scientific Reports, https://doi.org/10.1038/s41598-021-84446-9, 11, 5597, 2021.03, [URL].
2. S. Maeno, J. J. Cannon, T. Shiga, J. Shiomi, Molecular dynamics study on heat conduction in poly(3,4-ethylenedioxythiophene), Japanese Journal of Applied Physics, 57, 10, 2018.10.
3. James J. Cannon, Tohru Kawaguchi, Takashi Kaneko, Takuya Fuse, Junichiro Shiomi, Understanding decoupling mechanisms of liquid-mixture transport properties through regression analysis with structural perturbation, International Journal of Heat and Mass Transfer, 10.1016/j.ijheatmasstransfer.2016.09.046, 105, 12-17, 2017.02, Optimization of liquid thermophysical properties is important for engineering applications; often achieved by mixing two or more liquids. An important issue is that properties tend to be coupled, which can be problematic if improvement of one property is accompanied by deterioration in another. Therefore, optimization is typically a compromise between properties, and it could be enhanced if they could be decoupled. Such decoupling however first requires an understanding of the common and distinct physical origins of each thermophysical property of interest. Here, we introduce a new approach to gain such understanding, combining molecular-simulation-based structural perturbation with regularized statistical analysis. Considering viscosity and thermal conductivity of a water-glycol mixture as a test-case, we identify the role of structure on each property, and highlight the important role that hydrogen bonding can play in such decoupling..
主要学会発表等
1. Likhith Manjunatha, Hiroshi Takamatsu and James J. Cannon, The influence of molecular structure on alcohol thermal conductivity - Understanding conduction mechanisms using break down of the Green-Kubo correlations, 伝熱シンポジウム, 2020.06.
2. Likhith Manjunatha, Hiroshi Takamatsu and James J. Cannon, Ethylene glycol and propanol: Understanding the influence of an extra hydroxyl group on the mechanisms of thermal conductivity, The 16th UK Heat Transfer Conference, UKHTC2019, 2019.09.
3. Makoto Enokimaru, James Cannon, Kazuki Sawayama, Keigo Kitamura and Yasuhiro Fujimitsu, Dependence of electrical conductivity of geothermal fluid on temperature, pressure and NaCl concentration using molecular dynamics, 2018.11.
4. 榎丸 眞, J. Cannon, 澤山 和貴, 藤光 康宏, Dependence of electrical conductivity of subcritical fluid on temperature, pressure and NaCl concentration, 2018.11.
5. L. Manjunatha, H. Takamatsu, J. J. Cannon, An investigation into application of the Green-Kubo method in molecular simulation to help understand the mechanisms of thermal conductivity of alcohols., 日本伝熱学会, 2018.10.
6. 榎丸 眞、J. Cannon 、澤山 和貴、北村 圭吾、藤光 康宏, 分子動力学を用いた地熱流体の電気伝導度に対する温度・圧力・NaCl濃度の影響, 2018.05.
7. L. Manjunatha, H. Takamatsu, J. J. Cannon, Investigation into influence of hydroxyl group placement on the thermal conductivity of propane-base alcohols using molecular dynamics simulation, 日本伝熱学会, 2017.10.
8. T. Kodama, M. Obori, N. Shinohara, J. J. Cannon, J. Shiomi, Control of interfacial thermal transport properties between silica nanoparticles by silane coupling method and its application for thermal insulation materials, 日本伝熱学会, 2017.05.
9. M. Obori, James J. Cannon, Shinohara Nobuhiro, Junichiro Shiomi, ReaxFF-based interfacial thermal conductance calculation of silica-silica interface, Symposium on Micro-Nano Science and Technology 2016, 2016.12.
10. Junichiro Shiomi, Biao Shen, James J. Cannon, Computations of interfacial heat transfer from a multiscale viewpoint, International Symposium on Micro and Nano Technology, 2017.03, We will discuss a series of computations ranging from continuum phase field simulations to molecular dynamics simulations to investigate interfacial heat transfer phenomena related to boiling.
We begin by studying numerically the evolution of a vapor-gas mixture bubble on a heterogeneous surface with spatially varying wettability. The diffuse-interface method (DIM) simulations, based on the phase-field theory for a binary fluid, assumes a finite thickness for the vapor-liquid interface. The resulting governing equations are solved by the symbolic numerical toolbox FemLego. In qualitative agreement with the experimental observations, the results show that the presence of the added component (dissolved nitrogen in water) can lead to fundamentally different bubble behaviors in subcooled boiling, switching between sustained bubble growth (and pinch-off) and bubble collapse under formidable condensation dependent on the gas concentrations and solubility. Moreover, it is found that the growing bubble, while being pinned to the hydrophobic subregion of the surface, is surrounded by strong Marangoni convection, which is driven by the gas-induced surface tension stress imbalance.
Nucleate boiling is a multi-scale process, from macro-scale buoyancy and convection down to nanoscale nucleation and surface interaction. Indeed, given the increasing ability to nano-engineer surfaces for controlled wettibility and roughness, there is substantial interest in understanding the role of surface-liquid interaction on the nanoscale in addition to that on larger scales. In this part, we utilize molecular-dynamics simulations, providing an atomic-level insight into the interactions of water with a heated surface. Our simulations consider the interplay between surface roughness and the presence of air, showing how nanoscale roughness leads to greater propensity for initial nucleation, and that accumulation of gas at the surface can further contribute to this..
11. Obori Masanao, James J. Cannon, Shinohara Nobuhiro, Junichiro Shiomi, Tuning interfacial thermal conductance in nano-silica-based thermal insulators, International Symposium on Micro and Nano Technology, 2017.03.
学会活動
所属学会名
伝熱学会
日本機械学会
学術論文等の審査
年度 外国語雑誌査読論文数 日本語雑誌査読論文数 国際会議録査読論文数 国内会議録査読論文数 合計
2016年度
研究資金
科学研究費補助金の採択状況(文部科学省、日本学術振興会)
2018年度~2021年度, 基盤研究(C), 代表, A molecular approach to optimisation of liquid coolants.
科学研究費補助金の採択状況(文部科学省、日本学術振興会以外)
2018年度~2020年度, 厚生労働科学研究費補助金 (厚生労働省), A molecular approach to optimisation of liquid coolants.
2014年度~2016年度, 厚生労働科学研究費補助金 (厚生労働省), 代表, Freezing-based desalination: A molecular approach to understanding and optimisation..

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