1. Fundamental properties

`SCEJ 91st Annual Meeting (Kyoto, 2026)`

Last modified: 2026-01-20 11:12:38

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Session programs : 1. Fundamental properties

The chairs are under negotiation.
Yellow-back on the Technical sessions and session list denotes the on-site/virtual hybrid sessions.
All other sessions will be the on-site only sessions.

Hall G, Day 2

Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
Hall G(2F 28 ), Day 2(Mar. 18)
(9:00–10:20)
9:00– 9:20	G201	Assessment of PR+COSMOSAC EOS for Machine Learning Based Prediction of Thermodynamic Properties (NTU) *Liang Hsinghao, Lin Shiangtai	PR+COSMOSAC thermodynamic properties machine learning	1-a	740
9:20– 9:40	G202	Evaluation of Excess Surface Tensions at High Pressure Using Wilson-SurTen Model (Nihon U.) *(Reg)Tochigi Katsumi, (Reg)Matsuda Hiroyuki, (U. T. Malaysia) (Reg)Tsuji Tomoya, (Nihon U.) (Reg)Kurihara Kiyofumi	excess surface tension high pressure ASOG-SurTen model	1-a	104
9:40– 10:00	G203	Search of terpene-derived deep eutectic solvents based on solid-liquid equilibrium measurements and predictions (Nihon U.) *(Reg)Matsuda Hiroyuki, (Stu)Hirano Ayato, (Universiti Teknologi Malaysia) (Reg)Tsuji Tomoya, (Nihon U.) (Reg)Kurihara Kiyofumi, (Reg)Tochigi Katsumi	Deep eutectic solvent Terpene Solid-liquid equilibria	1-a	313
10:00– 10:20	G204	Modelling Phase Equilibrium of Phase-Separation Solvents for CO₂ Capture Using COSMO-SAC with Extended Pitzer-Debye-Hückel Model (Nat. Taiwan U.) *Shih Yen-Jen, Lin Shiang-Tai, (Science Tokyo) (Reg)Shimoyama Yusuke	phase-separation solvent COSMO-SAC phase equilibrium	1-a	567
(10:20–11:20)
10:20– 10:40	G205	Measurement and Prediction of the Densities of CO₂-Expanded Ethyl Lactate (Shizuoka U.) *(Stu)Wang Lida, Matsui Hibiki, Ichikawa Nono, (Chuo U.) (Reg)Onodera Norihiro, (Reg)Funazukuri Toshitaka, (Shizuoka U.) (Reg)Kong Chang Yi	density measurement CO2-expanded ethyl lactate	1-a	597
10:40– 11:00	G206	In-situ observation of polymorphism of polyamide 11 by using Raman spectroscopy (Kanazawa U.) *(Reg)Hiejima Yusuke, Hayashi Yoshihiko, Ito Asae, Nitta Koh-hei	Raman spectroscopy	1-b	476
11:00– 11:20	G207	Prediction of physical properties using deep learning (TUS) (Reg)Ohe Shuzo	physical properties prediction deep learning	1-a	423
(11:20–11:40)
11:20– 11:40	G208	[The SCEJ Award for Outstanding Young Researcher] High-Throughput Screening of CO₂ Absorption Liquids Based on Electronic State Informatics (Ochanomizu U.) (Reg)Kuroki Nahoko		0-c	783

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SCEJ 91st Annual Meeting (Kyoto, 2026)

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