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SCEJ 53rd Autumn Meeting (Nagano, 2022)

List of received applications (By topics code)


ST) SCEJ Trans-Division Symposium

ST-23. [Trans-Division Symposium] New Developments of Fuel Cells, Batteries and Energy Conversion Devices (Poster)

Organizer(s): Inoue Gen (Kyushu Univ.), Fukunaga Hiroshi (Shinshu Univ.), Tsujiguchi Takuya (Kanazawa Univ.), Tada Shohei (Ibaraki Univ.), Tamaki Takanori (Kagoshima Univ.), Kim Sanghong (Tokyo Univ. of Agri. and Tech.)

In this symposium, we call for lectures on energy devices and related energy conversion technologies such as fuel cell, solar cell, secondary battery. We accept lectures widely from the view point of nano-scaled material development as well as energy system. Furthermore, we plan to discuss about the "Model Base Development", "New Fabrication Process" and "New energy conversion". In addition to oral presentations category, poster presentations are also welcomed in a separate category for those who want to discuss thoroughly. In the poster presentation category, excellent presentations by students will be awarded.

Most recent update: 2023-05-10 20:05:01

The keywords that frequently used
in this topics code.
KeywordsNumber
machine learning4*
Fuel cell3*
polymer electrolyte fuel cell3*
energy system2
Direct formic acid fuel cell2
data science2
hydrogen2
optimization2
overpotential analysis1

ACKN
No.
Title/Author(s)KeywordsStyle
99Prediction of agglomeration behavior in fuel cell catalyst ink by simulation
(Kyushu U.) *(Stu)Saito Y., So M., (Reg)Inoue G.
fuel cell
simulation
particle agglomeration
P
100Prediction 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
P
167Continuous sulfur/conductive-additive compositing process for all-solid-state lithium-sulfur batteries
(Osaka Metro. U.) *(Stu·PCEF)Iwao Motoshi, Miyamoto Hiromi, (Reg)Nakamura Hideya, (Reg)Hayakawa Eiji, (Reg)Ohsaki Shuji, (Reg)Watano Satoru
lithium sulfur battery
solid-state battery
continuous process
P
228Application of Neural Network Model for Valence Bond Method Calculation for Proton Conductor
(Tokyo Tech) *(Stu)Ariga Takaaki, (Stu)Kameda Keisuke, Ito Kazuma, (Reg)Manzhos Sergei, (Reg)Ihara Manabu
solid oxide fuel cell
valence bond method
machine learning
P
243Optimal design of building-scale distributed hydrogen energy storage systems for realizing low-carbonization and high economic efficiency
(Tokyo Tech) *(Stu)Shirakura Sayaka, (Stu)Okubo Tatsuya, (Toshiba) Matsuoka Kei, (Toshiba ESS) (Reg)Matsunaga Kentaro, (Cor)Sato Junichi, (Tokyo Tech) (Reg)Manzhos Sergei, (Reg)Ihara Manabu
hydrogen
microgrid
optimization
P
246Reaction Field Design for Improving Ethylene Selectivity in Carbon Dioxide Electroreduction
(Tokyo Tech) *(Stu)Shibata Takahito, (Reg)Tamaki Takanori, (Reg)Yamaguchi Takeo
CO2 reduction
Anion-conductive polymer
Copper electrode
P
265Analysis of high-dimensional energy data and application of regression models toward generalized electricity demand forecasting
(Tokyo Tech) *(Stu)Tsuda Shunsaku, (Stu)Okubo Tatsuya, (Stu)Lee Hyojae, (Stu)Iijima Taiki, (Stu)Otoshi Natsuki, (Reg)Manzhos Sergei, (Reg)Ihara Manabu
energy system
machine learning
data science
P
268Mass Transport Analysis of the Electrodes of Redox Flow Battery
(Gunma U.) *(Stu)Ide Tomoki, (Reg)Ishitobi Hirokazu, Shiraishi Soshi, (AION) Tsukada Hidehiko, (Toyo Eng.) (Reg)Nakao Takato, (Gunma U.) (Reg)Nakagawa Nobuyoshi
Redox flow battery
Limiting current
Transport of active materials
P
291Rational design for reduction potential of photosensitizer based on materials informatics
(Osaka U.) *(Reg)Kitagawa Yasutaka, Tokuyama Kazuaki, Amamizu Naoka, Kishi Ryohei
Quantum Chemistry
Photosensitizer
Materials Informatics
P
295Preparation of graphene oxide electrolyte membrane and its fuel cell performance
(Gunma U.) *(Stu)Iwasaki Haruka, (Reg)Ishitobi Hirokazu, (Reg)Nakagawa Nobuyoshi
Graphene oxide
Fuel cell
Electrolyte membrane
P
348Effect of carbon particle concentration on the charge/discharge performance of a flow capacitor
(Gunma U.) *(Stu)Makino Naoki, (Reg)Ishitobi Hirokazu, (formerly Nihon U.) Teramoto Kazunori, (Gunma U.) (Reg)Nakagawa Nobuyoshi
flow capacitor
pressure drop
carbon slurry
P
372Synthesis of porous reduced graphene oxide as an electrode material for supercapacitor
(Shizuoka U.) *(Stu)Yao F., Khainunni S., (Reg)Kong C. Y.
supercapacitor
prGO
specific capacitance
P
406Development of Fibrous Connected Metal Nanoparticle Catalysts for Polymer Electrolyte Fuel Cells
(Tokyo Tech) *(Stu)Akimoto Minori, (Reg)Kuroki Hidenori, (Reg)Yamaguchi Takeo
Nanonetwork
Nanofiber
Fuel cell
P
410The relation between bubble generation behavior and hydrogen evolution performance at the cathode in alkaline water electrolysis
(Yokohama Nat. U.) *(Stu·PCEF)Kitajima Daisuke, (Reg)Misumi Ryuta, Mitsusima Sigenori
Alkaline Water Electrolysis
impedance measurement
hydrogen
P
445System evaluation of electrochemically promoted ammonia synthesis using proton-conducting ceramic electrolysis cells
(U. Tokyo) *(Stu)Okazaki Moe, (Tokyo Tech) (Reg)Otomo Junichiro
ammonia electrosynthesis
electrochemical promotion
system evaluation
P
522Mathematical Modeling on Recycling of Cathode Active Materials from NCM Lithium-Ion Batteries
(U. Tokyo) *(Stu)Li Peidan, (Reg)Heiho Aya, Dou Yi, (Reg)Kanematsu Yuichiro, (Reg·APCE)Kikuchi Yasunori
Lithium-ion Battery
Recycle
optimization
P
544Study and analysis of clustering methods for high-dimensional "Energy Data" for building power forecasting models
(Tokyo Tech) *(Stu)Iijima Taiki, (Stu)Lee Hyojae, (Stu)Tsuda Shunsaku, (Reg)Manzhos Sergei, (Reg)Ihara Manabu
energy system
machine learning
data science
P
564Pore controlling for the anode catalyst layer in direct formic acid fuel cells
(Kanazawa U.) *(Stu)Iwatani Shokei, (JTEKT) (Cor)Furuhashi Mototake, (Kanazawa U.) (Reg)Osaka Yugo, (Reg)Kodama Akio, (Reg)Tsujiguchi Takuya
Direct formic acid fuel cell
pore-forming agent
concentration overvoltage
P
609Core-shell type connected Pt-based catalysts with advanced oxygen-reduction performances
(Tokyo Tech) *(Stu)Chitra Sudheer Aparna, (Reg)Gopinathan M Anilkumar, (Reg)Kuroki Hidenori, (Reg)Yamaguchi Takeo
Polymer electrolyte fuel cell
Oxygen reduction reaction
Carbon-free electrocatalyst
P
647Effects of the Molybdenum Addition to the anode catalyst of direct formic acid fuel cell on the formic acid oxidation activity and stability
(Kanazawa U.) *(Stu)Mino Marino, Abd Lah Halim Fahimah, (Reg)Osaka Yugo, (Reg)Kodama Akio, (Reg)Tsujiguchi Takuya
Pd-based catalyst
Formic acid oxidation
Direct formic acid fuel cell
P
711Preparation of Ni nanoparticle-deposited carbon nanotube sheets for thermoelectric materials
(NIT Gunma) *(Stu)Kotajima Masaru, Tomaru Taisei, (Chiba Inst. Tech.) (Reg)Kudo Shoji, (NIT Gunma) Ota Michiya
thermoelectric materials
carbon nanotubes
Nickel-nanoparticles
P
742Electrochemical promotion in carbon dioxide reduction reaction using proton-conducting ceramic electrolysis cells
(Tokyo Tech) *(Stu)Huang Rui, (Reg)Otomo Junichiro
CO2 utilization
electrochemical reduction
proton conductor
P
777Effect of Carbon Addition to Oxide Electrodes for Polymer Electrolyte Fuel Cell
(Shinshu U.) *(Stu)Yamamoto Kanta, (Reg)Shimada Iori, (Reg)Osada Mitsumasa, (Reg)Takahashi Nobuhide, (Reg)Fukunaga Hiroshi
polymer electrolyte fuel cell
conductive carbon additive
oxide catalyst
P
792Voltage loss breakdown of carbon-free ionomer-free Pt electrode for polymer electrolyte fuel cell
(Shinshu U.) *(Stu)Sonobe Saaya, (Reg)Shimada Iori, (Reg)Osada Mitsumasa, (Reg)Takahashi Nobuhide, (Reg)Fukunaga Hiroshi
polymer electrolyte fuel cell
overpotential analysis
Pt black
P
802Anode reaction selectivity control on seawater electrolysis using thin flow channel electrolysis cell.
(Yamaguchi U.) *(Stu)Masada Issei, Gondo Mamoru, (Reg)Endo Nobutaka
Seawater electrolysis
Chlorine
Oxygen selectivity
P

List of received applications (By topics code)

List of received applications
SCEJ 53rd Autumn Meeting (Nagano, 2022)

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Most recent update: 2023-05-10 20:05:01
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