G119 - Hall G, Day 1 - Hall and day program - SCEJ 91st Annual Meeting (Kyoto, 2026)

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

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

Meeting Info.
Program
- Program Menu
- Tech. Sessions
- narrow view
- Day 0
- Day 1
- Day 2
- Day 3
By Session
- Session list
- Ceremony/Award
- Gen.S.(Oral)
- Gen.S.(Poster)
  - Poster A
  - Poster B
  - Poster C
  - Poster D
  - Poster E
- SV/SP:Vison/Special
  - SV-1
  - SP-1
  - SP-2
  - SP-3
- SK/K:Intl.Symp.
  - SK-1
  - K-1
  - K-2
  - K-3
  - K-4
  - K-5
  - K-6
- IS:IChES
  - IS-1
- SS:Sess.from Ind.
  - SS-1
  - SS-2
  - SS-3
  - SS-4
  - SS-5
  - SS-6
  - SS-7
- HC/HQ/P:Committee/Hq.
  - HC-11
  - HC-12
  - HQ-21
  - P-1
- F/X:CIT Forum/etc.
  - F-1
  - X-51
  - X-52
By Hall
- Hall list
- Z: [3]CT 1F Hall
  - Z: 1F Hall
- A-B: [37]LIAS Bldg.
  - A: 3F 31
  - B: 3F 32
- D-F: [36]West Wing
- G-N: [36]North Wing
  - G: 2F 28
  - H: 2F 27
  - I: 2F 26
  - J: 2F 25
  - K: 3F 32
  - L: 3F 31
  - M: 3F 38
  - N: 3F 37
- P,Q,R: [3]CT 2F Poster
Search/Index

Hall and day program : Hall G, Day 1 : G119

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(2F 28 ), Day 1(Mar. 17)

K-4

Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
K-4 Recent Research and Development of Technology for Physical Properties and Supercritical Fluid 2026
(13:00–13:35)
13:00– 13:05		Opening Remarks (Utsunomiya U.) (Reg)Sato Takafumi
13:05– 13:35	G114	[Invited lecture] Advancing the prediction of phase separation and thermodynamic properties through the integration of universal molecular descriptors and physics-informed machine learning (Nat. Taipei U. Tech.) *(Reg)Hung Ying-Chieh, Hung Hsiu-Min	Machine learning directed message passing neural network (D-MPNN) COSMO-SAC	K-4	419
(13:35–14:05)
13:35– 14:05	G115	[Invited lecture] Hybrid machine learning models for thermophysical property estimation (Shizuoka U.) *(Reg)Murakami Yuya, (Stu)Hatoyama Atsushi, (Stu)Ikeda Keisuke	Hybrid machine learning Physical property PINNs	K-4	779
(14:05–14:35)
14:05– 14:35	G116	[Invited lecture] Data- and Model-Driven Development of Advanced CO₂ Capture Processes (Nagoya U.) (Reg)Machida Hiroshi	Thermophysical Property Measurement Process Modeling and Simulation CO2 Capture Technologies	K-4	778
14:35– 14:50		Break
(14:50–15:20)
14:50– 15:20	G119	[Invited lecture] Solvent-Mediated Carbamate-to-Alkyl Carbonate Shuttling Enables Fast and High-Capacity CO₂ Capture (Nat. Tsing Hua U.) *Lin Yu-Jeng, Chen Yu-Fan	water-lean solvents non-aqueous solvents CO2 absorption	K-4	806
(15:20–15:50)
15:20– 15:50	G120	[Invited lecture] Liquefied Dimethyl Ether as Viable Green Alternative to Conventional Solvents for Extraction of Natural Products (Chulalongkorn U.) Shotipruk Artiwan	Dimethyl ether Sustainable extraction Bioactive compounds	K-4	807
(15:50–16:20)
15:50– 16:20	G121	[Invited lecture] Solid base catalysis in hot compressed water (U. Tokyo) (Reg)Akizuki Makoto	Hot compressed water Solid base catalysts Solvent effect	K-4	777
16:20– 16:25		Closing Remarks (Kanazawa U.) (Reg)Yamada Hidetaka

Technical program
Technical sessions (Wide) (For narrow screen)
Session programs
Search in technical program
SCEJ 91st Annual Meeting (Kyoto, 2026)

www4.scej.org