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Inoue Gen Last modified date：2023.02.03

Professor / laboratory of Industrial Process Engineering / Department of Chemical Engineering / Faculty of Engineering


Papers
1. Gen Inoue, Shinya Abe, Ruijing Gao, Kayoung Park, Magnus So, Yosuke Matsukuma, Naoki Kimura, Yoshifumi Tsuge, Design of porous metal collector via bubble template-assisted electrochemical deposition using numerical simulation, Chemical Engineering Journal Advances, 10.1016/j.ceja.2022.100266, 10, 100266-100266, 2022.05.
2. Kayoung Park, Ruijing Gao, Magnus So, Tae Hyoung Noh, Naoki Kimura, Yoshifumi Tsuge, Gen Inoue, Evaluation of ionomer distribution on porous carbon aggregates in catalyst layers of polymer electrolyte fuel cells, Journal of Power Sources Advances, 10.1016/j.powera.2022.100096, 15, 100096-100096, 2022.05.
3. Morio Tomizawa, Keisuke Nagato, Kohei Nagai, Akihisa Tanaka, Marcel Heinzmann, Andr{'{e } } Weber, Gen Inoue, Masayuki Nakao, Impedance-Based Performance Analysis of Micropatterned Polymer Electrolyte Membrane Fuel Cells, Journal of Electrochemical Energy Conversion and Storage, 10.1115/1.4053388, 19, 2, 2022.05, Abstract
Micropatterns applied to proton exchange membranes can improve the performance of polymer electrolyte fuel cells; however, the mechanism underlying this improvement is yet to be clarified. In this study, a patterned membrane electrode assembly (MEA) was compared with a flat one using electrochemical impedance spectroscopy and distribution of relaxation time analysis. The micropattern positively affects the oxygen reduction reaction by increasing the reaction area. However, simultaneously, the pattern negatively affects the gas diffusion because it lengthens the average oxygen transport path through the catalyst layer. In addition, the patterned MEA is more vulnerable to flooding, but performs better than the flat MEA in low-humidity conditions. Therefore, the composition, geometry, and operating conditions of the micropatterned MEA should be comprehensively optimized to achieve optimal performance..
4. Ryo Yoshihara, Dan Wu, Yin Kan Phua, Akiyo Nagashima, Euiji Choi, Samindi Madhubha Jayawickrama, Shota Ishikawa, Xuanchen Liu, Gen Inoue, Tsuyohiko Fujigaya, Ionomer-free electrocatalyst using acid-grafted carbon black as a proton-conductive support, Journal of Power Sources, 10.1016/j.jpowsour.2022.231192, 529, 231192-231192, 2022.05.
5. Keita Nunoshita, Ryusei Hirata, Magnus So, Kayoung Park, Xuanchen Liu, Naoki Kimura, Gen Inoue, Yoshifumi Tsuge, Simulation of All-Solid-State Lithium-Ion Batteries With Fastening Stress and Volume Expansion, Journal of Electrochemical Energy Conversion and Storage, 10.1115/1.4054015, 19, 2, 2022.05, Abstract
The volume expansion of anode active materials in all-solid-state lithium-ion batteries strongly affects the dynamic change in the electrode structure and its activity in electrochemical reactions and mass transport. Thus, understanding the mechanisms and internal phenomena during the charging process with volume expansion is important. In addition, clarifying these phenomena contributes to the selection of the active material when creating the electrode structure. This study aimed to verify the effect of volume expansion of the active material in a porous electrode layer on the charging performance using a numerical simulation. In this calculation, for the electrochemical reaction transport analysis, equations were applied based on the porous electrode theory; for the structural deformation due to expansion, we expressed the change by controlling the structural parameters and built a model for simulation. From the simulation results, when the fastening pressure was small, the active material with a large volume expansion ratio exhibited a larger capacity. However, for a large fastening pressure, active materials with a large volume expansion ratio seemed not to be used. Although the volume expansion of the active material should be suppressed from the viewpoint of ion conduction network rupture, these results demonstrate that the influence of volume expansion effectively depends on the electrode creation conditions. This model will help to optimize the design of all-solid-state batteries and can be the key to further performance improvement..
6. Magnus So, Gen Inoue, Kayoung Park, Keita Nunoshita, Shota Ishikawa, Yoshifumi Tsuge, Simulation of the compaction of an all-solid-state battery cathode with coated particles using the discrete element method, Journal of Power Sources, 10.1016/j.jpowsour.2022.231279, 2022.05.
7. Shota Ishikawa, Xuanchen Liu, Tae Hyoung Noh, Magnus So, Kayoung Park, Naoki Kimura, Gen Inoue, Yoshifumi Tsuge, Simulation to estimate the correlation of porous structure properties of secondary batteries determined through machine learning, Journal of Power Sources Advances, 10.1016/j.powera.2022.100094, 15, 100094-100094, 2022.05.
8. Kayoung Park, Yuting Wei, Magnus So, Tae Hyoung Noh, Naoki Kimura, Yoshifumi Tsuge, Gen Inoue, Numerical analysis on influence of surface structures of cathode catalyst layers on performance of polymer electrolyte fuel cells, Electrochemical Science Advances, 10.1002/elsa.202200003, 2022.04.
9. Chiyuri Komori, Shota Ishikawa, Keita Nunoshita, Magnus So, Naoki Kimura, Gen Inoue, Yoshifumi Tsuge, Stress Prediction of the Particle Structure of All-Solid-State Batteries by Numerical Simulation and Machine Learning, Frontiers in Chemical Engineering, 10.3389/fceng.2022.836282, 4, 2022.04, All-Solid-state batteries (ASSBs) are non-flammable and safe and have high capacities. Thus, ASSBs are expected to be commercialized soon for use in electric vehicles. However, because the electrode active material (AM) and solid electrolyte (SE) of ASSBs are both solid particles, the contact between the particles strongly affects the battery characteristics, yet the correlation between the electrode structure and the stress at the contact surface between the solids remains unknown. Therefore, we used the results of numerical simulations as a dataset to build a machine learning model to predict the battery performance of ASSBs. Specifically, the discrete element method (DEM) was used for the numerical simulations. In these simulations, AM and SE particles were used to fill a model of the electrode, and force was applied from one direction. Thus, the stress between the particles was calculated with respect to time. Using the simulations, we obtained a sufficient data set to build a machine learning model to predict the distribution of interparticle stress, which is difficult to measure experimentally. Promisingly, the stress distribution predicted by the constructed machine learning model showed good agreement with the stress distribution calculated by DEM..
10. Shanglin Li, Shota Ishikawa, Jiali Liu, Kazuhide Ueno, Kaoru Dokko, Gen Inoue, Masayoshi Watanabe, Importance of Mass Transport in High Energy Density Lithium-Sulfur Batteries Under Lean Electrolyte Conditions, Batteries & Supercaps, https://doi.org/10.1002/batt.202100409, 5, 5, e202100409-e202100409, 2022.03, 次世代電池として注目されるリチウム硫黄電池を対象にその反応輸送解析モデルを提案した。この計算を用いて各種電解液条件における内部挙動特にLi2Sの析出分布の予測を行い、電極層内部へのイオン伝導阻害要因を明らかにした。また電極層内の電解液の浸透向上としてのTiBの効果を明らかにし、計算によりその効果を実証した。.
11. Gen Inoue, Kayoung Park, Magnus So, Naoki Kimura, Yoshifumi Tsuge, Microscale simulations of reaction and mass transport in cathode catalyst layer of polymer electrolyte fuel cell, International Journal of Hydrogen Energy, https://doi.org/10.1016/j.ijhydene.2022.02.021, 47, 25, 12665-12683, 2022.03, 固体高分子燃料電池触媒層の更なる高出力密度化や低白金化のためには触媒層内の内部現象解明が不可欠である。しかし直接微小電極内の内部現象を計測することは困難であるため反応輸送解析モデリングが有効である。本研究では触媒層の微細構造を対象にした新規の反応輸送解析手法を提案し、その計算により触媒担体構造や電解質被覆構造の影響を検証した。.
12. Xuanchen Liu, Kayoung Park, Magnus So, Shota Ishikawa, Takeshi Terao, Kazuhiko Shinohara, Chiyuri Komori, Naoki Kimura, Gen Inoue, Yoshifumi Tsuge, 3D generation and reconstruction of the fuel cell catalyst layer using 2D images based on deep learning, Journal of Power Sources Advances, 10.1016/j.powera.2022.100084, 14, 100084-100084, 2022.03.
13. Taehyoung Noh, Kayoung Park, Ruijing Gao, Naoki Kimura, Gen Inoue, Yoshifumi Tsuge, Effect of Double-Sided, 3D-Patterned Cathode Catalyst Layers on Polymer Electrolyte Fuel Cell Performance, Energies, 10.3390/en15031179, 15, 3, 1179-1179, 2022.02, Optimization of the structure of cathode catalyst layers (CCLs) for promoting the transfer of reactants and products in polymer electrolyte fuel cells (PEFCs) is important for improving the cell performance. In this study, using theoretical equations, we confirmed that the shortened proton conduction path in the ionomer layer (IL) with a 3D-patterned structure, compared to that in the IL with a flat-patterned structure, can improve the cell performance. We experimentally investigated the effect of the IL with a 3D-patterned structure included in the CCLs on the cell performance. Based on the combination of the flat-or 3D-pattern of the IL and the catalyst layer (CL), the samples were categorized as Str. 1 (3D-patterned CL without IL), Str. 2 (flat-patterned IL and CL), Str. 3 (3D-patterned IL and flat-patterned CL), and Str. 4 (3D-patterned IL and CL). All of the samples had different morphologies. According to the I–V curves and impedance spectra data acquired at 80 °C and 40% relative humidity, Str. 4 showed superior cell performance relative to those of the other CCLs. These results indicate that the structure of Str. 4 enhanced the proton conductivity at a low humidity at which proton conduction is usually poor, thereby resulting in improved cell performance..
14. Kohei Nagai, Takayuki Osa, Gen Inoue, Takuya Tsujiguchi, Takuto Araki, Yoshiyuki Kuroda, Morio Tomizawa, Keisuke Nagato, Sample-efficient parameter exploration of the powder film drying process using experiment-based Bayesian optimization, Scientific Reports, 10.1038/s41598-022-05784-w, 12, 1, 2022.02, 燃料電池触媒層は電極触媒を用いたスラリーインクを塗布乾燥して成膜体として形成したものが用いられている。この塗布乾燥工程の僅かな温度や乾燥条件によって、電極層に構造ムラがおこり品質低下や電池性能低下を招く。そこで本研究では機械学習技術と自動塗布乾燥装置からなるスマートラボシステムを用い、各種乾燥条件における成膜結果を写真撮像し、その情報をもとに最適乾燥条件を自動推定する技術を考案した。.
15. Kayoung Park, Yuting Wei, Magnus So, Tae Hyoung Noh, Naoki Kimura, Yoshifumi Tsuge, Gen Inoue, Influence of Surface Structure on Performance of Inkjet Printed Cathode Catalyst Layers for Polymer Electrolyte Fuel Cells, Journal of Electrochemical Energy Conversion and Storage, 10.1115/1.4052629, 19, 1, 2022.02, Abstract
The structure of the cathode catalyst layer (CCL) is critically important for improving the performance, durability, and stability of polymer electrolyte fuel cells (PEFCs). In this study, we designed CCLs with a three-dimensional (3D) structure that could increase the surface area of the CCLs to decrease their oxygen transfer resistance. The CCLs were fabricated using an inkjet printing method, and the electrochemical performance of the CCLs in a membrane electrode assembly was evaluated using an actual cell. The results showed that at high Pt loadings, the performance of the CCL with the 3D structure was superior to that of the flat structure. In particular, at a high current density, which is related to mass transport resistance, the two structures exhibited a significant difference in performance. At a Pt loading of 0.3 mg/cm2, the CCL with the 3D structure showed the highest maximum power density among all the CCLs investigated in this study. This indicates that the 3D structure decreases the oxygen transfer resistance of the CCL. Overall, the 3D structure provided improved morphological and microstructural characteristics to the CCL for fuel cell applications..
16. Kayoung Park, Masaki Goto, Magnus So, Sakae Takenaka, Yoshifumi Tsuge, Gen Inoue, Influence of cathode catalyst layer with SiO2-coated pt/ketjen black catalysts on performance for polymer electrolyte fuel cells, Catalysts, 10.3390/catal11121517, 11, 12, 2021.12, In this study, we investigated the effect of silica (SiO2) layer included in a cathode catalyst layer (CL) on the performance for polymer electrolyte fuel cells (PEFCs). Porous carbons such as Ketjen black (KB) have been widely used as a support for Pt catalysts in PEFCs. Such KB-supported Pt catalyst (Pt/KB) was used as a cathode CL with low ionomer content (a condition of low proton conductivity). The Pt/KB was then coated with SiO2. In addition, the Pt/KB and SiO2-coated Pt/KB (SiO2-Pt/KB) were measured and analyzed under relative humidity (RH) conditions (100% and 20%). The catalyst ink of SiO2-Pt/KB showed higher stability and dispersion compared to Pt/KB, due to the hydrophilic surface characteristics of SiO2, which act as a binder-like ionomer. The performance of the SiO2-Pt/KB at 100% RH, was significantly lower than that of Pt/KB, whereas the performance of the Pt/KB at 20% RH, was significantly improved by SiO2 coating. This is due to an increase in the proton conductivity, which can be attributed to the hydrophilic properties of SiO2. Based on these results, the effect of SiO2 coating on performance, depending on carbon supports of SiO2-coated Pt/Carbon catalysts, could be evaluated..
17. Magnus So, Gen Inoue, Ryusei Hirate, Keita Nunoshita, Shota Ishikawa, Yoshifumi Tsuge, Effect of mold pressure on compaction and ion conductivity of all-solid-state batteries revealed by the discrete element method, Journal of Power Sources, 10.1016/j.jpowsour.2021.230344, 508, 230344-230344, 2021.10, 次世代二次電池として有望視される全固体電池の高性能化のためには固体固体の接触界面積を効率的に形成させる電極構造が必要である。本研究では離散要素法を用いた粉体粒子群の応力場解析と充放電に伴う膨張収縮を連携させた計算手法を提案し、さらに本手法を用いて電解質層の活物質粒子への被覆の影響を確認した。.
18. Samindi Madhubha Jayawickrama, Dan Wu, Rei Nakayama, Shota Ishikawa, Xuanchen Liu, Gen Inoue, Tsuyohiko Fujigaya, Effect of a polybenzimidazole coating on carbon supports for ionomer content optimization in polymer electrolyte membrane fuel cells, JOURNAL OF POWER SOURCES, 10.1016/j.jpowsour.2021.229855, 496, 229855, 2021.06.
19. Gen Inoue, Hiroki, Mashioka, Naoki Kimura, Yoshifumi Tsuge, Identifying Parameters from Discharging and Relaxation Curves of Lithium-ion Batteries Using Porous Electrode Theory, Journal of Chemical Engineering of Japan, https://doi.org/10.1252/jcej.20we180, 54, 5, 207-212, 2021.05, 二次電池の更なる充放電特性や出力・容量の向上のためには、支配要因の理解と内部現象解明が必要である。しかしながら直接計測が困難であるため数値解析手法が有効である。この数値解析のためには各種構造・物性パラメータの取得が必要であるが、その値を計測することは難しい。そこで本研究では外的に計測可能な充放電特性曲線と電流遮断時の緩和挙動より、数値モデリングにおける各種パラメータの取得を非線形最適化手法と組み合わせた新たな手法を提案した。本手法によりパラメータ同定が高精度に可能となり、また本手法を用いて最適構造設計に展開することが可能となった。.
20. Kayoung Park, Magnus So, Masaki Goto, Sakae Takenaka, Yoshifumi Tsuge, Gen Inoue, Numerical Analysis of Silica Coating Effect on Pt Cathode Catalyst in Polymer Electrolyte Fuel Cells, Journal of Chemical Engineering of Japan, https://doi.org/10.1252/jcej.20we102, 54, 5, 226-231, 2021.05.
21. Magnus So, Gen Inoue, Ryusei Hirate, Keita Nunoshita, Shota Ishikawa, Yoshifumi Tsuge, Simulation of Fabrication and Degradation of All-Solid-State Batteries with Ductile Particles, JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 10.1149/1945-7111/abed23, 168, 3, 030538, 2021.03.
22. Ryusei Hirate, Hiroki Mashioka, Shinichiro Yano, Yoshifumi Tsuge, Gen Inoue, Simulation for All-Solid State Batteries with Multi-Element Network Model, MATEC Web of Conferences, https://doi.org/10.1051/matecconf/202133317002, 333, 17002, 2021.01.
23. Jubao Gao, Yida Liu, Yuki Terayama, Kota Katafuchi, Yu Hoshino, GenInoue, Polyamine nanogel particles spray-coated on carbon paper for efficient CO2 capture in a milli-channel reactor, Chemical Engineering Journal, https://doi.org/10.1016/j.cej.2020.126059, 401, 126059-1-126059-10, 2020.12.
24. Yuting Wei, Kayoung Park, Gen Inoue, Naoki Kimura, Yoshifumi Tsuge, Simulation of reaction and mass transport in PEFC cathode catalyst layer fabricated by inkjet printing method, ECS Transactions, 10.1149/09809.0213ecst, 98, 9, 213-219, 2020.10.
25. Tomohiro Matsuda, Koichi Kobayashi, Takuya Mabuchi, Gen Inoue, Takashi Tokumasu, Multiscale simulation of proton transport in the catalyst layer with consideration of ionomer thickness distribution, ECS Transactions, 10.1149/09809.0187ecst, 98, 9, 187-196, 2020.10.
26. Jubao Gao, Yu Hoshino, Gen Inoue, Honeycomb-carbon-fiber-supported amine-containing nanogel particles for CO2 capture using a rotating column TVSA, Chemical Engineering Journal, 10.1016/j.cej.2019.123123, 383, 123123, 2020.03.
27. Kayoung Park, Tomohiro Ohnishi, Masaki Goto, Magnus So, SakaeTakenaka, Yoshifumi Tsuge, Gen Inoue, Improvement of cell performance in catalyst layers with silica-coated Pt/carbon catalysts for polymer electrolyte fuel cells, International Journal of Hydrogen Energy, 10.1016/j.ijhydene.2019.11.097, 45, 3, 1867-1877, 2020.01.
28. Magnus So, Kayoung Park, Yoshifumi Tsuge and Gen Inoue, A Particle Based Ionomer Attachment Model for a Fuel Cell Catalyst Layer, Journal of The Electrochemical Society, http://dx.doi.org/10.1149/1945-7111/ab68d4, 167, 013544, 2020.01.
29. Konosuke Watanabe, Takuto Araki, Takuya Tsujiguchi, Gen Inoue, Influence of the Diffusion Media Structure for the Bubble Distribution in Direct Formic Acid Fuel Cells, JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 10.1149/1945-7111/abb565, 167, 13, 134502, 2020.01.
30. Magnus So, Kayoung Park, Tomohiro Ohnishi, Masumi Ono, Yoshifumi Tsuge, Gen Inoue, A discrete particle packing model for the formation of a catalyst layer in polymer electrolyte fuel cells, International Journal of Hydrogen Energy, 10.1016/j.ijhydene.2019.10.005, 44, 60, 32170-32183, 2019.12.
31. Gen Inoue, Tomohiro Ohnishi, Magnus So, Kayoung Park, Masumi Ono, Yoshifumi Tsuge, Simulation of carbon black aggregate and evaluation of ionomer structure on carbon in catalyst layer of polymer electrolyte fuel cell, Journal of Power Sources, 10.1016/j.jpowsour.2019.227060, 439, 227060, 2019.11.
32. Jubao Gao, Yida Liu, Yu Hoshino, Gen Inoue, Amine-containing nanogel particles supported on porous carriers for enhanced carbon dioxide capture, Applied Energy, 10.1016/j.apenergy.2019.113567, 253, 113567, 2019.11.
33. Magnus So, Tomohiro Ohnishi, Kayoung Park, Masumi Ono, Yoshifumi Tsuge, Gen Inoue, The effect of solvent and ionomer on agglomeration in fuel cell catalyst inks: Simulation by the Discrete Element Method, International Journal of Hydrogen Energy, 10.1016/j.ijhydene.2019.09.012, 44, 54, 28984-28995, 2019.11.
34. Konosuke Watanabe, Takuto Araki, Gen Inoue, Ryota Mochizuki, Takuya Tsujiguchi, The Effect of CO2 Bubble Distribution on Power Generation Performance of a Direct Formic Acid Fuel Cell,  ECS Transactions, 10.1149/09208.0335ecst, 92, 8, 335-340, 2019.10.
35. Koichi Kobayashi, Takuya Mabuchi, Gen Inoue, Takashi Tokumasu, Nano/Microscale Simulation of Proton Transport in Catalyst Layer,  ECS Transactions, 10.1149/09208.0515ecst, 92, 8, 515-522, 2019.10.
36. Peter Awad, Naoki Kimura, Gen Inoue, Yoshifumi Tsuge, Energetic Minimization of Liquefied Natural Gas Single Nitrogen Expander Process Using Real Coded Genetic Algorithm, JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, doi.org/10.1252/jcej.18we005, 52, 1, 130-137, 2019.01.
37. H.ISHIKAWA, Y.SUGAWARA, G.INOUE, M.KAWASE, Effects of Pt and ionomer ratios on the structure of catalyst layer: A theoretical model for polymer electrolyte fuel cells, Journal of Power Sources, 374, 196-204, 2018.01.
38. Koichi Kobayashi, Takuya Mabuchi, Gen Inoue, Takashi Tokumasu, Molecular dynamics study of the thickness dependence of structure and mass transport in ionomer thin film, Symposium on Polymer Electrolyte Fuel Cells and Electrolyzers 18, PEFC and E 2018 - AiMES 2018, ECS and SMEQ Joint International Meeting ECS Transactions, 10.1149/08613.0469ecst, 469-474, 2018.01, In order to improve cell performance of polymer electrolyte fuel cells, it is important to understand mass transport phenomena at the nanoscale. In this study, we have investigated the effects of thickness of ionomer thin films on proton diffusivity using molecular dynamics simulations. We have obtained self-diffusion coefficient of protons, maximum cluster lengths corresponding to connectivity of water clusters, and water density distributions at different ionomer thickness. As a result, we found that at high water contents, proton diffusion coefficients have a little relationship with ionomer thickness, whereas at low water contents, proton diffusion coefficients show a peak with the ionomer thickness of around seven nm. The maximum cluster lengths show the similar trends as the proton diffusion coefficient..
39. Tomohiro Ohnishi, Magnus So, Sakae Takenaka, Yoshifumi Tsuge, Gen Inoue, Performance of carbon-supported pt nanoparticles covered by silica layers with low ionomer in polymer electrolyte fuel cells, Symposium on Polymer Electrolyte Fuel Cells and Electrolyzers 18, PEFC and E 2018 - AiMES 2018, ECS and SMEQ Joint International Meeting ECS Transactions, 10.1149/08613.0453ecst, 453-460, 2018.01, Catalyst layers (CLs) are designed using a specific ionomer in accordance with the required mass transport. Although the ionomer is needed as the protonic conductor, an excess addition prevents oxygen diffusion. This work investigates the effect of using a SiO2 coating and a low amount of ionomer on the performance of a polymer electrolyte fuel cell (PEFC). The application of a SiO2 coating to the catalyst surface is expected to change its surface characteristics and enhance the dispersion of the catalyst in the ink. In terms of their particle distribution, catalysts coated with SiOj maintain a higher dispersivity than commercial Pt/C with a low amount of ionomer. The structure of the CLs was investigated by examining the effects of various amounts of ionomer in the presence and absence of Si02 coating by studying the cross-sectional morphology of the CLs with focused ion beam-scanning electron microscopy (FIB-SEM)..
40. K. LIN, G. INOUE, M. KAWASE, Simulation of Optimization and Utilization for LiB with Multi-Element Network, ECS Transaction, 80, 10, 251-258, 2017.10.
41. G. INOUE, K.IKESHITA, M.IWABU, Y.SAGAE, M. KAWASE, Simulation of Lithium-Ion Battery with Effect of Volume Expansion of Active Materials, ECS Transaction, 80, 10, 275-282, 2017.10.
42. T. Terao, G. Inoue, M. Kawase, N. Kubo, M. Yamaguchi, K. Yokoyama, T. Tokunaga, K. Shinohara, Y. Hara, T. Hara, Development of novel three-dimensional reconstruction method for porous media for polymer electrolyte fuel cells using focused ion beam-scanning electron microscope tomography, Journal of Power Sources, 347, 15, 108-113, 2017.04.
43. G. Inoue, M. Kawase, Numerical and Experimental Evaluation of Relationship between Porous Electrode Structure and Ion and Electron Conductivity in Lithium-ion Battery, Journal of Power Sources, 342, 476-488, 2017.01.
44. K.Ikeshita, G. Inoue, M.Kawase, Electrode Designs of Lithium Ion Batteries Utilizing the Simulation of Porous Structures, ECS Transaction, 75, 20, 165-172, 2017.01.
45. M. Kawase, K. Sato, R. Mitsui, H. Asonuma, M. Kageyama, K. Yamaguchi, G. Inoue, Electrochemical reaction engineering of polymer electrolyte fuel cell, AIChE Journal, 63, 1, 249-256, 2017.01.
46. G. Inoue, M. Kawase, Understanding Formation Mechanism of Heterogeneous Porous Structure of Catalyst Layer in Polymer Electrolyte Fuel Cell, International Journal of Hydrogen Energy, 41, 46, 21352-21365, 2016.12.
47. G. Inoue, M. Kawase, Effect of porous structure of catalyst layer on effective oxygen diffusion coefficient in polymer electrolyte fuel cell, Journal of Power Sources, 327, 1-10, 2016.09.
48. G. Inoue, K. Yokoyama, J. Ooyama, T. Terao, T. Tokunaga, N. Kubo, M. Kawase, Theoretical examination of effective oxygen diffusion coefficient and electrical conductivity of polymer electrolyte fuel cell porous components, Journal of Power Sources, 327, 610-621, 2016.09.
49. M.Kawase, K.Yamaguchi, M.Kageyama, K.Sato, G. Inoue, Dimensionless Model Analysis of PEFC Cathode, ECS Transaction, 75, 14, 147-156, 2016.09.
50. R. Kotoi, G. Inoue, M. Kawase, Reaction and mass transport simulation of polymer electrolyte fuel cell for the analysis of the key factors affecting the output performance in the catalyst layer, ECS Transaction, Symposium on Polymer Electrolyte Fuel Cells 16, PEFC 2016 - PRiME 2016/230th ECS Meeting Polymer Electrolyte Fuel Cells 16, PEFC 16, 10.1149/07514.0385ecst, 385-392, 2016.01, In order to reduce the total cost of fuel cell vehicles, catalysts for polymer electrolyte fuel cells (PEFCs) have been developed in recent years. However, these catalysts have been developed by trial-and-error methods and the correlation between catalyst nature and output performance is still not clear. Our goal is to reduce the catalyst cost by analyzing the key factors affecting the output performance in catalyst layers (CLs). In our previous studies, a method for reaction and mass transport simulation in the through-plane directionwas established. Additionally, electrochemical reactions and radial mass transport phenomena in the catalyst with primary particle size were simulated in this study. The results suggest that the characteristics of Pt particles such as diameter and bearing position mainly affect the output performance at high voltages (0.7-0.9 V). Furthermore, the rate-determining step for the catalyst with primary particle size was the oxygen diffusion step in the ionomer..
51. Fumiya Ito, Gen Inoue, Motoaki Kawase, Reaction and mass transport simulation of 3-dimensional all-solid-state lithium-ion batteries for the optimum structural design, ECS Transaction, Symposium on Batteries - Theory, Modeling, and Simulation - 228th ECS Meeting Batteries - Theory, Modeling, and Simulation, 10.1149/06901.0083ecst, 69, 83-90, 2015.01, In order to increase energy density and enhance safety, all-solidstate lithium-ion battery has been developed as a storage battery for electric vehicles. However, its power density is too low to be applied for EV. In recent years, 3-dimensional electrode such as an interdigitated electrode is proposed, which can increase both energy density and power density. In this study, electrochemical reactions and mass transport phenomena of 3D all-solid-state battery were simulated with a porous electrode theory. Discharge property was improved by complicating 3D structures and Str. 2 displayed excellent discharge property at a rate of 1 to 10C and a solid electrolytes ionic conductivity of 0.01 to 1 S/m. Furthermore, the structure of which diffusion length is shorter than 36.57 μm can realize the full charge within 6 minutes at more than 1 S/m, and the diffusion length within 8 μm is necessary at 0.01 S/m to 1 S/m..
52. G. Inoue, N. Ishibe, Y. Matsukuma, M. Minemoto, Understanding Mechanism of PTFE Distribution in Fibrous Porous Media, ECS Trans., 50, 2, 461-468, 2013.03.
53. T. Sasabe, G. Inoue, S. Tsushima, S. Hirai, T. Tokumasu, U. Pasaogullari, Investigation on Effect of PTFE Treatment on GDL Micro-structure by High-resolution X-ray CT, ECS Trans., 50, 2, 735-744, 2013.03.
54. Y.Hoshino, K.Imamura, M.Yue, G. Inoue, Y. Miura, Reversible Absorption of CO2 Triggered by Phase Transition of Amine-Containing Micro and Nanogel Particles, JACS, 134, 44, 18177-18180, 2012.11.
55. S. Abe, G. Inoue, Y. Matsukuma, M. Minemoto, Numerical Analysis of Particle Separation and Flow Characteristic in Non-woven Filter, Journal of Novel Carbon Resource Sciences, 3, 17-20, 2011.02.
56. Y. Fan, G. Inoue, Y. Matsukuma, M. Minemoto, Investigation of Liquid Water Behavior in PEFC Porous Media, Journal of Novel Carbon Resource Sciences, 3, 21-26, 2011.02.
57. Numerical Simulations of Droplet Upwelling into Gas Channel of PEFC
Y.Matsukuma, Y.Koga, G.Inoue, M.Minemoto
Transactions of the Japan society of mechanical engineers
76, 763, pp.420-422 (2010).
58. Numerical Analysis of Two-Phase Condition in GDL with Pore Network Model
G.Inoue, Y.Matsukuma, M.Minemoto
Transactions of the Japan society of mechanical engineers
76, 763, pp.415-417 (2010).
59. Numerical Simulations of Droplet Upwelling into Gas Channel of PEFC
Y.Matsukuma, Y.Koga, G.Inoue, M.Minemoto
Japanese Journal of Multiphase Flow
23, 5, pp.515-521 (2010).
60. Numerical Simulations of Methane Hydrate Particles around the Bottom of the Recovery Pipe of the Gas-Lift Method
Y.Matsukuma, M.Miwa, S.Hironaka, G.Inoue, M.Minemoto
Kagakukougaku Ronbunshu, Vol.36, No.2, pp.149-156.
61. Uniformization of Flow through a Honeycomb Structure by the Lattice Boltzmann Method
Y.Matsukuma, T.Inoue, Y.Ijyuin, G.Inoue, M.Minemoto
Kagaku Kogaku Ronbunshu vol.35, No.6 pp.573-581.
62. Study on Automated Porous Plate Design for Uniformization of Flow through a Honeycomb Structure
Y.Matsukuma, T.Danjo, T.Kubo, G.Inoue, M.Minemoto
Kagaku Kogaku Ronbunshu vol.35, No.6 pp.582-588.
63. Gen INOUE, Yosuke MATSUKUMA and Masaki MINEMOTO, Evaluation of Gas Diffusion Performance in Wet GDL with 3D Pore Network Model, ECS Transactions , Vol.25 (1), pp.1519-1527, 2009.10.
64. Prevention of Degradation of a Polymer Electrolyte Fuel Cell
H.Itoh, S.Tsurumaki, T.Moriga, A.Yamada, S.Nojima, G.Inoue, Y.Matsukuma, M.Minemoto
Kagakukougaku Ronbunsyu, 35(3) pp. 304-311.
65. Study on Deterioration Mechanism of Polymer Electrolyte Fuel Cell
H.Itoh, S.Tsurumaki, T.Moriga, A.Yamada, G.Inoue, Y.Matsukuma, M.Minemoto
Kagakukougaku Ronbunsyu, 35(1) pp. 184-190.
66. Gen INOUE, Yosuke MATSUKUMA and Masaki MINEMOTO, Evaluation of Liquid and Mass Transfer in GDL by Direct Network Simulation, ECS Transactions , Vol.16 (2), pp.1661-1671, 2008.10.
67. Gen INOUE, Yosuke MATSUKUMA and Masaki MINEMOTO, Numerical Analysis of Liquid and Heat Transfer in Heterogeneous GDL, ECS Transactions , Vol.16 (2), pp.769-777, 2008.10.
68. Experimental Study and Performance Simulation of　a Wet Flue Gas Desulfurization System.
69. Gen Inoue, Takashi Yoshimoto, Yosuke Matsukuma, Masaki Minemoto, Development of Simulated Gas Diffusion Layer of Polymer Electrolyte Fuel Cells and Evaluation of its Structure, Journal of Power Sources, 175, pp.145-158, 2008.01.
70. Experimental Study and Performance Simulation of　a Wet Flue Gas Desulfurization System.
71. Optimization and System Control of a Wet Flue Gas Desulfurization System.
72. Inlet Configuration of a Recovery System for Methane Hydrate using Gas Lift.
73. Ryokichi Hamaguchi, Yuki Nishimura, Gen Inoue, Yosuke Matsukuma, and Masaki Minemoto, Gas Hydrate Decomposition Rate in Flowing Water, Journal of Energy Resources Technology, Volume 129, Issue 2, pp. 102-106, 2007.06, [URL].
74. Study on Optimization of a CO2 Recovery System from Flue Gas　by Use of Honeycomb-Type Adsorbent.
75. G. Inoue, T. Yoshimoto, T. Kawano, Y. Matsukuma and M. Minemoto, Effect of Two-phase Flow Condition in Gas Channel and GDL on Cell Performance of Polymer Electrolyte Fuel Cell, ECS Transactions, 5, (1) 261, 2007.03.
76. Optimization of Rotor-Type Solvent Recovery System for Low Concentration Solvent II
(Optimization with gas concentration, flow rate change and adsorption　deterioration)
Y.Matsukuma, S.Takatani, G.Inoue, M.Minemoto, N.Kamishima
Kagaku Kogaku Ronbunshu 32 (6), pp. 477-483 .
77. Gen INOUE, Takashi YOSHIMOTO, Yosuke MATSUKUMA, Masaki MINEMOTO, Hideki ITOH, Shigeru TSURUMAKI, Effect of Flow Pattern of Gas and Cooling Water on Relative Humidity Distribution in Polymer Electrolyte Fuel Cell, Journal of Power Sources, 162 (1), pp. 94-104 , 2006.11.
78. Gen INOUE, Takashi YOSHIMOTO, Yosuke MATSUKUMA, Masaki MINEMOTO, Hideki ITOH, Shigeru TSURUMAKI, Numerical Analysis of Relative Humidity Distribution in Polymer Electrolyte Fuel Cell Stack Including Cooling Water, Journal of Power Sources, 162 (1), pp. 81-93 , 2006.11.
79. Optimization of Rotor-Type Solvent Recovery System for Low Concentration Solvent
Y.Matsukuma, S.Takatani, G.Inoue, M.Minemoto, N.Kamishima
Kagaku Kogaku Ronbunshu 32 (5), pp. 402-408 .
80. Takashi YOSHIMOTO, Yosuke MATSUKUMA, Gen INOUE, Masaki MINEMOTO, Mass Transfer Analysis in PEFC Diffusion Layler by Lattice Gas Automata Method, JSME International Journal, Series B, Vol.49, No.3, pp.653-659, 2006.08.
81. Gen INOUE, Yosuke MATSUKUMA, Masaki MINEMOTO, Effect of gas channel depth on current density distribution of polymer electrolyte fuel cell by numerical analysis including gas flow through gas diffusion layer, Journal of Power Sources, 157, p.136-152, 2006.06.
82. Gen INOUE, Yosuke MATSUKUMA, Masaki MINEMOTO, Examination of Optimal Separator Shape of Polymer Electrolyte Fuel Cell with Numerical Analysis Including the Effect of Gas Flow through Gas Diffusion Layer, Journal of Power Sources, 157, p.153-165, 2006.06.
83. Takashi YOSHIMOTO, Gen INOUE, Yosuke MATSUKUMA, Masaki MINEMOTO, Microscopic Analysis of Polymer Electrolyte Fuel Cell by Lattice Gas Automata, Journal of Chemical Engineering of Japan, Vol.39, 5, pp.537-544, 2006.05.
84. Optimization of Methane Hydrate Recovery System rom Ocean Floor（Basic study on Hydrate Decomposition rate）
R.Hamaguchi, H.Yahashi, Y.Matsukuma, G.Inoue, M.Minemoto, M.Watabe, K.Okawa
Transactions of the Japan Society of Mechanical Engineers, Part B 72 (4), pp. 901-907 .
85. Simulation of CO2 Recovery System from Flue Gas by Honeycomb Type Adsorbent Ⅱ
Y.Matsukuma, K.Sadagata, H.Kakigami, G.Inoue, M.Minemoto, A.Yasutake, N.Oka
(Optimization of CO2 Recovery System and Proposal of Actual Plant) Vol.32(2) (2006) pp.146-152.
86. Study on CO2 Recovery System from Flue Gas by Honeycomb Type Adsorbent　I
(Results of Tests and Simulation)
Y.Matsukuma, Y.Matsushita, H.Kakigami, G.Inoue, M.Minemoto, A.Yasutake, N.Oka
Vol.32(2) (2006) pp.138-145.
87. Gen INOUE, Yosuke MATSUKUMA, Masaki MINEMOTO, Evaluation of the Thickness of Membrane and Gas Diffusion Layer with Simplified Two-Dimensional Reaction and Flow Analysis of Polymer Electrolyte Fuel Cell, Journal of Power Sources, 154, p.8-17, 2006.03.
88. Gen INOUE, Yosuke MATSUKUMA, Masaki MINEMOTO, Evaluation of the Optimal Separator Shape with Reaction and Flow Analysis of Polymer Electrolyte Fuel Cell, Journal of Power Sources, 154, p.18-34, 2006.03.
89. Mass Transfer Analysis in PEFC Diffusion Layer by Lattice Gas Automata Method
T.Yoshimoto, Y.Matsukuma, G.Inoue, M.Minemoto
Transactions of the Japan Society of Mechanical Engineers Vol.71 (711) B 2642-2648.
90. Design of optimal separetar by PEFC reaction and flow analysis
G.Inoue, K.Shinyama, Y.Matsukuma and M.Minemoto
Kagaku Kougaku Ronbunsyu, Japan Vol.29(6) (2003) pp.823-828.
91. Design of Uniform Flow in Equipments by Lattice Gas Automata Method and an Evaluation of its Adaptability to Parallel Processing
E.Hioka, G.Inoue, Y.Matsukuma and M.Minemoto
Kagaku Kougaku Ronbunsyu, Japan Vol.29(3) (2003) pp.421-426.
92. Modeling of Power Generation Performance for Polymer Electrolyte Fuel Cell
G.Inoue, Y.Shimomura, Y.Matsukuma and M.Minemoto
Kagaku Kougaku Ronbunsyu, Japan Vol.29(2) (2003) pp.191-196.
93. Reaction and Flow Analysis for Polymer Electrolyte Fuel Cell
G.Inoue, Y.Shimomura, Y.Matsukuma and M.Minemoto
Kagaku Kougaku Ronbunsyu, Japan Vol.29(2) (2003) pp.197-203.


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