Japanese page RELOAD
SCEJ 89th Annual Meeting (Sakai, 2024)
Program search result : TUS : 4 programs
The preprints can be viewed by clicking the Paper IDs.
The ID/PW sent to the Registered participants and invited persons are required.
The ID/PW sent to the Registered participants and invited persons are required.
Affillations field begins with “TUS”, “Tokyo U. Sci.”; 4 programs are found.
The search results are sorted by the start time.
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Day 2 | I213 | Relationship between thermodynamic entropy and permutation entropy characterizing pseudo-two-dimensional turbulence | permutation entropy entropy production Viscous Fingering | 2-e | 56 |
| Day 2 | D220 | [Invited lecture] Physical property prediction from small dataset using transfer learning | Artificial intelligence Neural network Transfer learning | X-53 | 113 |
| Day 3 | I307 | Prediction of Physical Properties by Atomic Group Contribution Method with Deep Learning | Prediction Physical properties Deep learning | 1-a | 702 |
| Day 3 | G320 | Prediction of HETP for Packed Column | Packed column efficiency HETP | 4-c | 699 |
| DispCtl: |
|---|
Technical program
Technical sessions (Wide)
(For narrow screen)
Session programs
Search in technical program
SCEJ 89th Annual Meeting (Sakai, 2024)
© 2024 The Society of Chemical Engineers, Japan. All rights reserved.For more information contact Organizing Committee of SCEJ 89th Annual Meeting
E-mail: inquiry-89a
www4.scej.org