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SCEJ 54th Autumn Meeting (Fukuoka, 2023)

Program search result : 春木 将司 : 4 programs

The preprints(abstracts) are now open (Aug. 28). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants and invited persons are required.

Authors and Chairs (J) field exact matches “春木 将司”; 4 programs are found. (“Poster with Flash” presentations are double-counted.)
The search results are sorted by the start time.

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Day 1
13:4014:00
Y115[Invited lecture] Enhancement of thermal conductivity of polymer based composite sheet and theoretical estimation
(Kanazawa U.) (Reg)Haruki M.
Thermal conductivity
Polymer
Composite
ST-26333
Day 3
10:2010:40
Y305Enhancement of thermal conductivity for composite sheet consisting of mixed filler of graphite and carbon nano fiber / polyimide using magnetic field treatment
(Kanazawa U.) *(Stu)Tsukamura Keita, (Reg)Haruki Masashi
Thermal conductivity
Polyimide
Magnetic field
SY-51214
Day 3
13:2013:40
Y314Density, viscosity, and boiling point pressure of carbon dioxide and aprotic polar solvent mixtures
(Nihon U.) *(Stu)Ohgami H., (Reg)Kodama D., (Kanazawa U.) (Reg)Haruki M.
carbon dioxide
viscosity
density
SY-51604
Day 3
14:4016:00
   Chair: Sugahara Takeshi, Haruki Masashi
Y318Measurement and correlation of boiling point pressure of carbon dioxide + aprotic polar solvent systems
(Tohoku Inst. Tech.) (Reg)Sato Yoshiyuki
Equation of state
Vapor-liquid Equilibria
SY-51585
Y319Determination of vapor-liquid-equilibria for the systems 2-methyltetrahydrofuran + n-alkane
(Nihon U.) *(Reg)Matsuda Hiroyuki, (Stu)Nozaki Kazuma, (Stu)Takanashi Retsu, (Reg)Kurihara Kiyofumi, (Reg)Tochigi Katsumi
Vapor-liquid equilibria
2-Methyltetrahydrofuran
n-Alkane
SY-51645
Y320Prediction of Vapor Pressure and Enthalpy of Vaporization with Extended Corresponding States Principle
(Hosei U.) (Reg)Nishiumi Hideo
Prediction
Lydersen method
Vapor pressure
SY-51328
Y321Prediction of Physical Properties by Deep Learning
(TUS) (Reg)Ohe Shuzo
Physical properties
Prediction
Deep learning
SY-51687

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SCEJ 54th Autumn Meeting (Fukuoka, 2023)


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