Haruki Masashi - Program search result - SCEJ 54th Autumn Meeting (Fukuoka, 2023)

`SCEJ 54th Autumn Meeting (Fukuoka, 2023)`

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Program search result : Haruki Masashi : 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 field exact matches “Haruki Masashi”; 4 programs are found. (“Poster with Flash” presentations are double-counted.)
The search results are sorted by the start time.

Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
Day 1 13:40– 14:00	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-26	333
Day 3 10:20– 10:40	Y305	Enhancement 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-51	214
Day 3 13:20– 13:40	Y314	Density, 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-51	604
Day 3 14:40– 16:00	Chair: Sugahara Takeshi, Haruki Masashi
	Y318	Measurement 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-51	585
	Y319	Determination 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-51	645
	Y320	Prediction of Vapor Pressure and Enthalpy of Vaporization with Extended Corresponding States Principle (Hosei U.) (Reg)Nishiumi Hideo	Prediction Lydersen method Vapor pressure	SY-51	328
	Y321	Prediction of Physical Properties by Deep Learning (TUS) (Reg)Ohe Shuzo	Physical properties Prediction Deep learning	SY-51	687

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SCEJ 54th Autumn Meeting (Fukuoka, 2023)

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