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SCEJ 53rd Autumn Meeting (Nagano, 2022)

Last modified: 2023-05-16 07:24:56

Hall and day program : Hall PA, Day 3

The preprints can be viewed by clicking the Paper IDs.
Yellow-back sessions on Technical sessions will be On-site/online Hybrid sessions, others are Online sessions.
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Hall P(), Day 3(Sep. 16)

Poster: odd 9:00-10:30 even 10:30-12:00, Award Ceremony: 13:00-13:40 Poster venue

ST-23

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
ST-23 [Trans-Division Symposium]
New Developments of Fuel Cells, Batteries and Energy Conversion Devices (Poster)
(9:00–12:00)
9:0010:30PA301Development of Fibrous Connected Metal Nanoparticle Catalysts for Polymer Electrolyte Fuel Cells
Nanonetwork
Nanofiber
Fuel cell
ST-23406
10:3012:00PA302Core-shell type connected Pt-based catalysts with advanced oxygen-reduction performances
Polymer electrolyte fuel cell
Oxygen reduction reaction
Carbon-free electrocatalyst
ST-23609
9:0010:30PA303Effect of Carbon Addition to Oxide Electrodes for Polymer Electrolyte Fuel Cell
polymer electrolyte fuel cell
conductive carbon additive
oxide catalyst
ST-23777
10:3012:00PA304Voltage loss breakdown of carbon-free ionomer-free Pt electrode for polymer electrolyte fuel cell
polymer electrolyte fuel cell
overpotential analysis
Pt black
ST-23792
9:0010:30PA305Prediction of agglomeration behavior in fuel cell catalyst ink by simulation
fuel cell
simulation
particle agglomeration
ST-2399
10:3012:00PA306Preparation of graphene oxide electrolyte membrane and its fuel cell performance
Graphene oxide
Fuel cell
Electrolyte membrane
ST-23295
9:0010:30PA307Pore controlling for the anode catalyst layer in direct formic acid fuel cells
Direct formic acid fuel cell
pore-forming agent
concentration overvoltage
ST-23564
10:3012:00PA308Effects of the Molybdenum Addition to the anode catalyst of direct formic acid fuel cell on the formic acid oxidation activity and stability
Pd-based catalyst
Formic acid oxidation
Direct formic acid fuel cell
ST-23647
9:0010:30PA309Preparation of Ni nanoparticle-deposited carbon nanotube sheets for thermoelectric materials
thermoelectric materials
carbon nanotubes
Nickel-nanoparticles
ST-23711
10:3012:00PA310Application of Neural Network Model for Valence Bond Method Calculation for Proton Conductor
solid oxide fuel cell
valence bond method
machine learning
ST-23228
9:0010:30PA311Optimal design of building-scale distributed hydrogen energy storage systems for realizing low-carbonization and high economic efficiency
hydrogen
microgrid
optimization
ST-23243
10:3012:00PA312Analysis of high-dimensional energy data and application of regression models toward generalized electricity demand forecasting
energy system
machine learning
data science
ST-23265
9:0010:30PA313Study and analysis of clustering methods for high-dimensional "Energy Data" for building power forecasting models
energy system
machine learning
data science
ST-23544
10:3012:00PA314Rational design for reduction potential of photosensitizer based on materials informatics
Quantum Chemistry
Photosensitizer
Materials Informatics
ST-23291
9:0010:30PA315The relation between bubble generation behavior and hydrogen evolution performance at the cathode in alkaline water electrolysis
Alkaline Water Electrolysis
impedance measurement
hydrogen
ST-23410
10:3012:00PA316System evaluation of electrochemically promoted ammonia synthesis using proton-conducting ceramic electrolysis cells
ammonia electrosynthesis
electrochemical promotion
system evaluation
ST-23445
9:0010:30PA317Electrochemical promotion in carbon dioxide reduction reaction using proton-conducting ceramic electrolysis cells
CO2 utilization
electrochemical reduction
proton conductor
ST-23742
10:3012:00PA318Reaction Field Design for Improving Ethylene Selectivity in Carbon Dioxide Electroreduction
CO2 reduction
Anion-conductive polymer
Copper electrode
ST-23246
9:0010:30PA319Anode reaction selectivity control on seawater electrolysis using thin flow channel electrolysis cell.
Seawater electrolysis
Chlorine
Oxygen selectivity
ST-23802
10:3012:00PA320Prediction of an in-Plane Anomalous Current Using Numerical Simulation and Machine Learning
(Kyushu U.) *(Stu)Mori Y., (Stu)Komori C., (Reg)Inoue G.
Modeling
Machine learning
Current distribution
ST-23100
9:0010:30PA321Continuous sulfur/conductive-additive compositing process for all-solid-state lithium-sulfur batteries
lithium sulfur battery
solid-state battery
continuous process
ST-23167
10:3012:00PA322Mathematical Modeling on Recycling of Cathode Active Materials from NCM Lithium-Ion Batteries
Lithium-ion Battery
Recycle
optimization
ST-23522
9:0010:30PA323Mass Transport Analysis of the Electrodes of Redox Flow Battery
Redox flow battery
Limiting current
Transport of active materials
ST-23268
10:3012:00PA324Effect of carbon particle concentration on the charge/discharge performance of a flow capacitor
flow capacitor
pressure drop
carbon slurry
ST-23348
9:0010:30PA325Synthesis of porous reduced graphene oxide as an electrode material for supercapacitor
supercapacitor
prGO
specific capacitance
ST-23372

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SCEJ 53rd Autumn Meeting (Nagano, 2022)


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