
Last modified: 2026-01-20 11:12:38
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Hall P, Day 3 | |||||
| PS-D Poster Session D (Reaction eng., SIS, Safety) | |||||
| (9:30–11:30) | |||||
| PD301 | Activation of metal nanoparticle catalysts utilising mechanochemistry and Metal-Polymer interactions | Mechanochemistry Green chemistry Redispersion | 5-a | 79 | |
| PD302 | Hydrocarbon production by hydrogenation of CO2 under high pressure with supported transition metal catalysts | CO2 hydrogenation Supported transition metal catalyst hydrocarbon production | 5-a | 231 | |
| PD303 | Design and Development of Ni-Based Catalysts for Anion Exchange Membrane Water Electrolysis by Surface Structural Control Using Electrodeposition | Anion Exchange Membrane Water Electrorisis Electrodeposition | 5-a | 534 | |
| PD304 | Catalytic Durability of Flame-Made Core-Shell Catalysts for Dry reforming of methane | Flame spray pyrolysis Ni catalysts Dry reforming of methane | 5-a | 364 | |
| PD305 | Co-processing of plastic and bio-oil in catalytic cracking process -Prediction of yields and investigation of feedstock interactions using machine learning- | co-processing plastic bio-oil | 5-a | 286 | |
| PD306 | Promotion of CO conversion and fibrous carbon formation over Fe-based structured catalysts by Co and K addition | CCUS Fibrous carbon Fe-Co alloy | 5-a | 80 | |
| PD307 | Olefin Formation Behavior in Tandem CO2 Hydrogenation Using SAPO-34 Zeolite Catalyst | zeolite tandem catalyst CO2 utilization | 5-a | 60 | |
| PD308 | Direct conversion of liquid ethanol by electro-activation of catalysts | Ethanol conversion Electro-activation Pt/CeO2 catalyst | 5-a | 205 | |
| PD309 | Extending Chemical Reaction Neural Networks for Reaction-Diffusion Modeling in Porous Catalysts | Reaction mechanism Reaction-diffusion system Data-driven | 5-a | 452 | |
| PD310 | Effect of Buoyancy on Mass Transfer Rate in a Gas-Liquid-Solid Taylor Flow Reactor | Taylor flow Buoyancy Mass transfer | 5-a | 75 | |
| PD311 | Evaluation of a multi-stage Carbon Looping System for large-scale CO2 fixation | carbon capture multi-stage CCUS | 5-a | 113 | |
| PD312 | Catalytic cracking of Isoprene to Aromatic Compounds and Light Olefins Using Zeolite Beta and ZSM-5 | zeolite plastic recycling cracking | 5-a | 45 | |
| PD313 | Unraveling the Reaction Pathway of HCHO Oxidation on W-Doped δ-MnO2 | DFT Formaldehyde oxidation MnO2 | 5-a | 350 | |
| PD314 | Hydrothermal Synthesis of Nitric Acid-Modulated Co-MOF as Electrocatalyst for Hydrogen Production from Urea-Assisted Water Electrolysis | Urea Oxidation Reaction (UOR) Hydrogen Evolution Reaction (HER) Overall reaction, Metal-Organic Framework (MOF) | 5-a | 127 | |
| PD315 | Development of a novel anodized catalyst support for electrical heating | electrical heating catalyst cathodic polarization pulsed electrodeposition | 5-a | 710 | |
| PD316 | Tandem reaction of jasmine aldehyde by metalnanoparticle-supported liposomes | metalnanoparticle liposome tandem reaction | 5-a | 436 | |
| PD317 | Investigation of methanation reactions using silver-based catalysts with different supports | methanation silver carbonate Ni catalyst | 5-a | 468 | |
| PD318 | Effect of catalyst amount on microwave-assisted CO2 methanation using SiC-supported Ru/CeO2 catalysts | CO2 methanation microwave structured catalyst | 5-a | 674 | |
| PD319 | Design of polymeric palladium catalysts for solid-state Suzuki-Miyaura type cross-coupling reaction with machine learning | Machine learning Suzuki-Miyaura cross coupling Pd catalyst | 5-a | 47 | |
| PD320 | Non-Monotonic CO2 Reduction Selectivity under High Pressure: From Mass Transport to Charge-Transfer Regulation | CO2 electroreduction high pressure surface coverage | 5-a | 329 | |
| PD321 | NiFe-Layered double hydroxide as bifunctional electrocatalyst for value-added hydrogen production in iodine containing water electrolysis | Iodide Oxidation Reaction (IOR) Water Electrolysis Layer Double Hydroxide (LDH) | 5-a | 184 | |
| PD322 | Cobalt-based Dual Ligand Metal Organic Framework as bifunctional electrocatalyst for value-added hydrogen production in iodine containing water electrolysis | Iodine Oxidation Reaction Hydrogen Evolution Reaction Metal-Organic Framework | 5-a | 186 | |
| PD323 | Carbon dioxide treatment by ammonia gas | Carbon dioxide ammonia Ammonium bicarbonate | 5-e | 280 | |
| PD324 | Evaluation and modeling of the effects of periodic operation on Fischer-Tropsch reaction behavior | Fischer-Tropsch Periodic operation | 5-e | 757 | |
| PD325 | Study on Two-Step Direct Liquefaction Process of Woody Biomass | Woody biomass Direct liquefaction Upgrading | 5-g | 569 | |
| PD326 | Optimization of Microchannel Geometry for Softsensors in Microfluidic Systems | Softsensor Microchannel Machine learning | 5-f | 321 | |
| PD327 | Synthesis of HMF from glucose using sulfonic acid-immobilized Al-doped mesoporous silica catalyst | mesoporous silica 5-hydroxymethylfurfural bifunctional catalyst | 5-g | 124 | |
| PD328 | Solvent-free Mechanochemical N/P-Lignin for Flame Retardant Spray Coatings | Flame retardant Lignin Mechanochemistry | 5-g | 188 | |
| PD329 | Investigation of the effect of gamma-valerolactone co-solvent on the cellulose ethanolysis with heteropolyacid catalysts | cellulose ethanolysis co-solvent | 5-g | 236 | |
| PD330 | Enhancement of Biomass Gasification by Passing Electric Current Through a Char Bed | Biomass Gasification Passing Electric Current | 5-g | 573 | |
| PD331 | Analysis of the Dushman Reaction Using Physics-Informed Machine Learning | Dushman reaction Mixing evaluation Machine learning | 5-i | 323 | |
| PD332 | Lactic Acid Extraction Using a Deep Eutectic Solvent Under Segmented-Flow Conditions | Segmented flow Liquid-liquid extraction Deep eutectic solvents | 5-f | 699 | |
| PD333 | Multi-scale simulation to elucidate decrease in sonochemical reaction efficiency under high-power ultrasound condition. | sonochemical ultrasound | 5-b | 293 | |
| PD334 | Flame-retardant polylactic acid composites with silylated cellulose nanofibers | Polylactic acid Silylation Cellulose nanofibers | 5-g | 193 | |
| PD335 | Biodiesel Production by Catalytic Decarboxylation over a Weakly Basic Supported Ni Catalyst | Biodiesel Ni Catalyst Cerium oxide | 5-g | 574 | |
| PD336 | Proposal of a method to calculate kinetic parameters of Biomethanation reactions | Biomethanation kinetic parameters | 5-e | 471 | |
| PD337 | Effect of Acetic Acid Pretreatment on the Direct Liquefaction of Woody Biomass | Woody Biomass Direct Liquefaction | 5-g | 575 | |
| PD338 | Extrapolative Prediction of Dushman Reaction Kinetics Using a Hybrid Machine Learning Model | Dushman reaction Extrapolation Machine learning | 5-i | 680 | |
| PD339 | Development of solution-based Fe/MgO catalyst for the synthesis of submillimeter-long carbon nanotubes | Carbon nanotubes Chemical vapor deposition Fe/MgO catalyst | 5-h | 88 | |
| PD340 | Study of the Initial Nucleation Process in Pd-ALD Using Pd(hfac)2 | palladium ALD nucleation | 5-h | 700 | |
| PD341 | Development of zeolite catalysts for highly selective hydrocarbon synthesis process | Zeolite Methanol conversion Carbon neutral | 5-a | 337 | |
| PD342 | Investigation of miscibility and reactivity of furfural in Baeyer-Villiger oxidation with aqueous biphasic solvents | Baeyer-Villiger Oxidation Biphasic system Partially miscible | 5-g | 244 | |
| PD343 | Flame-Retardant Densified Wood via Delignification and Ionic Fixing | Delignification Flame retardancy Surface ionic fixing | 5-g | 297 | |
| PD344 | Sulfur/Phosphorus Synergistically Modified Layered Cobalt Hydroxide on Nickel Foam: An Efficient Electrocatalyst for Hydrogen Production in Seawater Electrolysis | Oxygen Evolution Reaction Hydrogen Evolution Reaction Seawater Electrolysis | 5-a | 347 | |
| PD345 | Transesterification of Vegetable Oil with Dimethyl Carbonate using Guanidine Base Catalysts | biodiesel guanidine dimethyl carbonate | 5-g | 615 | |
| PD346 | Development of a New Vertical Gasifier with an Internal Screw-Driven Particle Moving Mechanism | Gasifier Biomass Cold Model | 5-g | 584 | |
| PD347 | Separate heating of catalyst and carbon sources in gas-phase synthesis of carbon nanotubes | carbon nanotube floating catalyst chemical vapor deposition computational fluid dynamics | 5-h | 115 | |
| PD348 | Environmentally friendly lipid recovery from microalgae with hydrothermal liquefaction | Microalgae Hydrothermal liquefaction Lipid extraction | 5-g | 259 | |
| PD349 | Study of a Co ALD Process Using a Novel Co Precursor with Neural Network Potentials | Co ALD Newral Network Potential Reaction Design | 5-h | 712 | |
| PD350 | Effect of Coexisting gases on Solid Carbon production from Carbon Monoxide over Iron Oxide | Solid Carbon Iron Oxide Boudouard Reaction | 5-a | 559 | |
| PD351 | Flexibility Evaluation of an IoT Module-Based Automated Experiment System | Automated Experiment IoT Module Flexibility Evaluation | 5-f | 751 | |
| PD352 | Extending Flory-Huggins Model for the dispersion of surface modified CeO2 nanoparticle via data-driven modeling of solvent activity coefficient | data-driven modeling Flory-Huggins model nanoparticle dispersion | 6-g | 29 | |
| PD353 | Design of freezing processes for human induced pluripotent stem cell-derived spheroids toward industrial manufacturing | Hybrid model Regenerative medicine Numerical simulation | 6-b | 171 | |
| PD354 | Proposal of Crystal Structures for Novel Solid Electrolytes with High Ionic Conductivity Using Machine Learning | Solid Electrolyte Machine Learning Materials Informatics | 6-f | 8 | |
| PD355 | Autonomous Process Synthesis Using Masked Reinforcement Learning | Reinforcement learning Process flowsheet synthesis Action masking | 6-b | 135 | |
| PD356 | Exploration stem-cell cryoprotective agents utilizing molecular information | Cheminfomatics regenerative medicine machine learning | 6-b | 169 | |
| PD357 | Suggesting new drug candidates for schizophrenia using machine learning models and generative adversarial network | Machine learning Drug design Schizophrenia | 6-f | 52 | |
| PD358 | Prediction of solubility in CO2 using COSMO-vacancy model | COSMO-vacancy activity coefficient supercritical CO2 | 6-f | 585 | |
| PD359 | Research on Autoregressive Training Transformer Model Applied to Dynamic Control of Modified Claus Process | Modified Claus Process Transformer Model Autoregressive Training | 6-d | 648 | |
| PD360 | Machine Learning Interatomic Potentials Reveal Surface Proton Diffusion on Perovskite Oxide | Machine Learning Interatomic Potential Proton Diffusion Surface Conduction | 6-g | 183 | |
| PD361 | Prediction of Microfiltration Membrane Fouling and Proposal of Optimal Operating Conditions with Machine Learning | Machine Learning Microfiltration Membrane Fouling | 6-d | 163 | |
| PD362 | Modeling of mesenchymal stem cell cultivation processes based on metabolic flux analysis | Oxygen condition Multiscale modeling Cell therapy | 6-b | 428 | |
| PD363 | Microkinetic Modeling and Simulation to Design a Fixed Bed Column for NH3 Sorption on MgCl2 | Ammonia Sorption Microkinetic Model Process Simulation | 6-c | 402 | |
| PD364 | Investigation of the correlation between in vivo and in vitro experiments in bioceramics | artificial bone in vivo in vitro | 6-f | 133 | |
| PD365 | Modeling and design of antibody drug manufacturing processes with culture media recycling | Biopharmaceuticals Recycling Process design | 6-b | 463 | |
| PD366 | Development of a Machine Learning Model for Species-Specific MIC Prediction of Antimicrobial Peptides | Machine Learning Antimicrobial Peptides Minimum Inhibitory Concentration (MIC) | 6-g | 627 | |
| PD367 | Prediction of dielectric constant using calculated infrared spectra | infrared spectra machine learning | 6-f | 120 | |
| PD368 | A Comparative Study of Molecular Descriptors to Improve Machine Learning Prediction of Ames Test Result | Ames test Machine learning | 6-f | 175 | |
| PD369 | Multiscale regression of Alzheimer's disease progression indicators based on MRI images | Alzheimer's disease MRI analysis Deep learning | 6-f | 315 | |
| PD370 | Molecular Generation with Desired Number of Rings by Applying Conditional Hierarchical Variational Autoencoder to Explore Molecules Exhibiting Low Reorganization Energy | Conditional Hierarchical Variational Autoencoder Molecule Generation Reorganization Energy | 6-f | 155 | |
| PD371 | Cost Analysis of a Simultaneous High-Purity CO2 and CH4 Separation from Sewage-derived Biogas Using Amine-based Chemical Absorption | Biogas Amine absorption CO2 separation | 6-b | 525 | |
| PD372 | Analysis of Structural and Electronic Factors Influencing the Activity and Electrical Conductivity of Non-Precious Metal Oxide Catalysts for Water Electrolysis | Anion Exchange Membrane Water Electrolysis Electrochemical Catalyst Materials Informatics | 6-g | 506 | |
| PD373 | Development of a machine learning model for predicting water vapor sorption of polysaccharides | Machine learning Polysaccharides Water vapor sorption | 6-f | 387 | |
| PD374 | Real-time Estimation and Control of Temperature Distribution in a Double-Tube Reactor Based on the Orthogonal Collocation Method | Double-tube reactor Temperature distribution ILQ-based optimal servo control | 6-d | 498 | |
| PD375 | Investigation of Highly-Accurate Variational Autoencoders for Multicomponent Crystal Structures | Machine Learning Crystal Structure VAE Latent Representation of Materials | 6-f | 10 | |
| PD376 | Fundamental study on disease prediction using brain MRI images by meta-learning | Machine Learning Neurodegenerative diseases Meta-learning | 6-f | 316 | |
| PD377 | Design of cryopreservation processes for human induced pluripotent stem cells considering storage and thawing dynamics | Manufacturing Hybrid model Regenerative medicine | 6-b | 170 | |
| PD378 | Improving Reaction Prediction Accuracy Using Machine Learning and Reaction Networks | machine learning chemical reaction network reaction pathway prediction | 6-g | 352 | |
| PD379 | Improving the predictive accuracy of drug-drug interaction prediction models using unlabeled, ingredient, and clinical data | Drug-drug interaction Machine learning Positive-unlabeled learning | 6-f | 23 | |
| PD380 | Modeling and design of cultivation processes considering glycosylation in monoclonal antibody manufacturing | Mechanistic model Monoclonal Antibody Cultivation Glycosylation | 6-b | 400 | |
| PD381 | Atomistic Studies of〈110〉 Symmetric Tilt Grain Boundaries in Al0.5CoCr0.5FeNi High-Entropy Alloys | Molecular dynamics High entropy alloys Grain boundaries | 6-g | 355 | |
| PD382 | Topological Phase Transitions in Non-Centrosymmetric LiBaBi under Strain | DFT Topological insulator Strain-induced band inversion | 6-g | 349 | |
| PD383 | Design of novel plastic-degrading enzymes with high thermostability and degradation activity using machine learning models | machine learning bioinformatics plastics-degrading enzymes | 6-f | 538 | |
| PD384 | Optimization of BiVO4 photocatalyst synthesis conditions with machine learning and experiments | Bismuth Vanadate Synthesis conditions Machine learning | 6-e | 51 | |
| PD385 | AI-based Reduced-order Model for Fast Predictive Simulations | Reduced-order model DEM-DNS Slurry | 6-c | 48 | |
| PD386 | Molecular generation to lower reorganization energy of organic semiconductors with an emphasis on the reliability of predictions of machine learning model | Machine learning Generative adversarial networks Organic semiconductor | 6-f | 139 | |
| PD387 | Development of a GCN prediction model for the Ames test using improved molecular expression methods | Machine Learning Ames Test Molecule Graph | 6-f | 614 | |
| PD388 | Towards a Safer Process for Acrylic Resin: Quantitative Evaluation of Induction Period in Monomer/Initiator Mixture | induction period safety design acrylic resin | 10-c | 39 | |
| PD389 | A Study on the Application of Risk Based Maintenance (RBM) to Wind Power Systems | Risk based maintenance Wind turbine Renewable energy | 10-i | 272 | |
| PD390 | Construction of a Physical Model for Risk Analysis of Water Electrolysis Systems | Water Electrolysis Systems Risk Analysis Physical Model | 10-e | 508 | |
| PD391 | A Study on Organizational Accident Analysis Methodology Based on the Perspective of Safety Culture | Organizational Accident Safety Culture Accident Analysis | 10-i | 510 | |
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SCEJ 91st Annual Meeting (Kyoto, 2026)
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