The keywords that frequently used in this topics code.
| 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. | Keywords | Number | |
|---|---|---|---|
| machine learning | 4 | | |
| Fuel cell | 3 | | |
| polymer electrolyte fuel cell | 3 | | |
| energy system | 2 | | |
| Direct formic acid fuel cell | 2 | | |
| data science | 2 | | |
| hydrogen | 2 | | |
| optimization | 2 | | |
| overpotential analysis | 1 | | |
| ACKN No. | Title/Author(s) | Keywords | Style |
|---|---|---|---|
| 99 | Prediction of agglomeration behavior in fuel cell catalyst ink by simulation | fuel cell simulation particle agglomeration | P |
| 100 | Prediction of an in-Plane Anomalous Current Using Numerical Simulation and Machine Learning | Modeling Machine learning Current distribution | P |
| 167 | Continuous sulfur/conductive-additive compositing process for all-solid-state lithium-sulfur batteries | lithium sulfur battery solid-state battery continuous process | P |
| 228 | Application of Neural Network Model for Valence Bond Method Calculation for Proton Conductor | solid oxide fuel cell valence bond method machine learning | P |
| 243 | Optimal design of building-scale distributed hydrogen energy storage systems for realizing low-carbonization and high economic efficiency | hydrogen microgrid optimization | P |
| 246 | Reaction Field Design for Improving Ethylene Selectivity in Carbon Dioxide Electroreduction | CO2 reduction Anion-conductive polymer Copper electrode | P |
| 265 | Analysis of high-dimensional energy data and application of regression models toward generalized electricity demand forecasting | energy system machine learning data science | P |
| 268 | Mass Transport Analysis of the Electrodes of Redox Flow Battery | Redox flow battery Limiting current Transport of active materials | P |
| 291 | Rational design for reduction potential of photosensitizer based on materials informatics | Quantum Chemistry Photosensitizer Materials Informatics | P |
| 295 | Preparation of graphene oxide electrolyte membrane and its fuel cell performance | Graphene oxide Fuel cell Electrolyte membrane | P |
| 348 | Effect of carbon particle concentration on the charge/discharge performance of a flow capacitor | flow capacitor pressure drop carbon slurry | P |
| 372 | Synthesis of porous reduced graphene oxide as an electrode material for supercapacitor | supercapacitor prGO specific capacitance | P |
| 406 | Development of Fibrous Connected Metal Nanoparticle Catalysts for Polymer Electrolyte Fuel Cells | Nanonetwork Nanofiber Fuel cell | P |
| 410 | The relation between bubble generation behavior and hydrogen evolution performance at the cathode in alkaline water electrolysis | Alkaline Water Electrolysis impedance measurement hydrogen | P |
| 445 | System evaluation of electrochemically promoted ammonia synthesis using proton-conducting ceramic electrolysis cells | ammonia electrosynthesis electrochemical promotion system evaluation | P |
| 522 | Mathematical Modeling on Recycling of Cathode Active Materials from NCM Lithium-Ion Batteries | Lithium-ion Battery Recycle optimization | P |
| 544 | Study and analysis of clustering methods for high-dimensional "Energy Data" for building power forecasting models | energy system machine learning data science | P |
| 564 | Pore controlling for the anode catalyst layer in direct formic acid fuel cells | Direct formic acid fuel cell pore-forming agent concentration overvoltage | P |
| 609 | Core-shell type connected Pt-based catalysts with advanced oxygen-reduction performances | Polymer electrolyte fuel cell Oxygen reduction reaction Carbon-free electrocatalyst | P |
| 647 | Effects 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 | P |
| 711 | Preparation of Ni nanoparticle-deposited carbon nanotube sheets for thermoelectric materials | thermoelectric materials carbon nanotubes Nickel-nanoparticles | P |
| 742 | Electrochemical promotion in carbon dioxide reduction reaction using proton-conducting ceramic electrolysis cells | CO2 utilization electrochemical reduction proton conductor | P |
| 777 | Effect of Carbon Addition to Oxide Electrodes for Polymer Electrolyte Fuel Cell | polymer electrolyte fuel cell conductive carbon additive oxide catalyst | P |
| 792 | Voltage loss breakdown of carbon-free ionomer-free Pt electrode for polymer electrolyte fuel cell | polymer electrolyte fuel cell overpotential analysis Pt black | P |
| 802 | Anode reaction selectivity control on seawater electrolysis using thin flow channel electrolysis cell. | Seawater electrolysis Chlorine Oxygen selectivity | P |
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