SCEJ 88th Annual Meeting (Tokyo, 2023)
Program search result : 東工大物質 : 15 programs
The preprints(abstracts) are now open (Mar. 1st). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants in Period I/II and invited persons are required.
Affillations (J) field begins with “東工大物質”, “Tokyo Tech”; 15 programs are found.
The search results are sorted by the start time.
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Day 1 | PA115 | Synthesis of metal phosphide/carbon composite fibers by electrospinning and their application to lithium-sulfur batteries | Electrospinning Lithium-sulfur batteries Metal phosphide/carbon composite fibers | 12-c | 681 |
| Day 1 | PA120 | Synthesis of transition metal oxide nanoparticles/carbon composite materials and their electrochemical properties | Anode material lithium battery nanocomposite materials | 12-c | 675 |
| Day 2 | PB217 | in vitro Imaging of osteoclast activity using monolayer MoS2 to visualize proton secretion | Osteoclast Vitronectin Imaging technology | 7-e | 542 |
| Day 2 | PB210 | Exploration of Escherichia coli-derived Membrane Curvature Sensors Using a Series of Spherical Supported Lipid Bilayers | Membrane curvature sensor Comparative proteomics Supported spherical lipid bilayer | 7-a | 572 |
| Day 2 | E214 | Extraction technology of surface modified Fe3O4 nanoparticles using supercritical CO2$ | Supercritical carbon dioxide extraction surface modified nanoparticles | 8-c | 686 |
| Day 2 | E224 | Photo-thermally direct CO2 capture from air using aerogel with carbon black | aerogel photo-thermal effect CO2 capture | 8-e | 467 |
| Day 3 | D301 | Prediction of surface-modified iron oxide nanoparticles extraction from reaction field using solubility parameters and machine learning | nanoparticle extraction solubility parameter machine learning | IS-1 | 475 |
| Day 3 | PD311 | Prediction of nanoparticle dispersion by machine learning with Hansen parameters as input | Hansen solubility parameter nanoparticle dispersion machine learning | 1-b | 486 |
| Day 3 | PD313 | Flow synthesis of Ag nanoparticles using supercritical emulsion | Ag nanoparticle supercritical carbon dioxide emulsion | 8-e | 479 |
| Day 3 | PD351 | Selective synthesis of p-xylene from isobutanol over Zn-supported ZSM-5 catalyst with acid site deactivation on the external surface | p-xylene biobutanol Zeolite | 5-a | 580 |
| Day 3 | PD367 | Development of zeolite-encapsulated Ni NPs catalyst for highly efficient hydrogen production from bioethanol | Ethanol Steam Reforming Zeolite-encapsulated Ni Sintering resistance | 5-g | 500 |
| Day 3 | PD304 | Flow fabrication process of emulsion by viscosity reduction of CO2-dissolved oil | carbon dioxide oil viscosity reduction emulsion | 1-a | 483 |
| Day 3 | G319 | [Featured presentation] Process design of liposome formation in microfluidic system based on physical properties | lipid solubility liposome microfluidic system | 1-a | 469 |
| Day 3 | E320 | Potassium ion conduction aided direct air capture methanation | CCUS Direct air capture methanation | 9-e | 83 |
| Day 3 | I320 | Regulation of exosome formation by a peptide binding to tetraspanin CD9 | Tetraspanin Peptides Cancer cell | 7-e | 249 |
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SCEJ 88th Annual Meeting (Tokyo, 2023)
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