
Last modified: 2022-03-04 12:00:00
Title (J) field includes “生成”; 13 programs are found.
The search results are sorted by the start time.
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Day 2 | PB206 | Effect of Membrane Surface Polarity on formation of Intermediate Water: Examination by Computational Chemistry | Fouling Intermediate Water Molecular Dynamics | 4-a | 370 |
| Day 2 | L209 | [The SCEJ Award for Outstanding Young Researcher] Development of Carbon-supported Metal Catalysts Using Ion Exchange Resins as Precursor of Carbon Support for Highly Fast and Selective Hydrogen Production | The SCEJ Award for Outstanding Young Researcher | 0-c | 729 |
| Day 2 | O209 | Molecular dynamics simulation of crystallization processes in two-step nucleation | nucleation molecular dynamics simulation crystallization | 12-d | 458 |
| Day 2 | PC211 | Continuous SCWG of biomass using in-situ synthesized nickel nanocatalyst | Supercritical water gasification nickel catalyst in-situ synthesis | 8-f | 421 |
| Day 2 | PC213 | MD Simulation of nucleation and aggregation behavior in ZnO crystallization process | molecular dynamics simulation nucletion crystallization | 8-e | 330 |
| Day 2 | PC227 | Development of Ru supported carbon nanotube film electrodes for hydrogen production by liquid ammonia electrolysis | Carbon nanotube Ammonia electrolysis Ru nanoparticles | 9-e | 204 |
| Day 2 | PC243 | Structural control of Cu catalysts and electrodes for high-efficiency ethylene production from CO2 electroreduction | CO2 electroreduction Cu catalyst structural control | 9-e | 565 |
| Day 2 | B218 | Use of machine learning and feature engineering for product composition prediction in heavy oil catalytic cracking reactions | machine learning feature engineering catalytic cracking | CS-1 | 484 |
| Day 3 | PD319 | Observation of bubbles on the order of hundred nanometers/micrometers generated by vertical and horizontal shaking | fine bubble nano bubble microscope | 2-d | 279 |
| Day 3 | PD367 | Construction of product yield prediction model using machine learning in co-processing of bio-oil and heavy oil in fluid catalytic cracking | bio-oil co-processing machine learning | 5-a | 561 |
| Day 3 | PD312 | Three-dimensional PIV measurements in a double emulsion production by flow focusing technique | Flow Focusing Double emulsion Particle image velocimetry | 2-e | 243 |
| Day 3 | PD322 | High-throughput Generation of Microdroplets Using Inverse Colloidal Crystal-integrating Microchannels | Microchannel Inverse colloidal crystal Droplets | 2-e | 253 |
| Day 3 | N315 | Hydrothermal synthesis of rGO/NiFe2O4 nanocomposites and its reaction mechanism | Supercritical water organic-solvent free reaction mechanism | 8-e | 481 |
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SCEJ 87th Annual Meeting (Kobe, 2022)
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