Yuting Guo

Assistant professor

Kyoto University

Japan

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Dr. Yuting Guo is an Assistant Professor at Kyoto University, specializing in advanced materials and energy technologies. His recent research focuses on lithium transport in batteries, 3D microstructure generation for solid oxide cell electrodes, and the thermal transport properties of materials. Additionally, he employs machine learning techniques to study heat transfer mechanisms and hydrodynamic performances. Dr. Guo's work contributes significantly to the fields of energy storage and conversion, enhancing the understanding of novel materials and their applications.

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Collaborators (2)

Takuya Mabuchi

Assistant Professor

Tohoku University

JAPAN

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Gaoyang Li

Tohoku University

JAPAN

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Yuting Guo

Research Interests

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About

Articles (22)

Development of coarse-grained model for anisotropic lithium transport in polycrystalline active material in lithium-ion batteries

Advanced 3D Microstructure Generation of Solid Oxide Cell Electrodes Using Conditional Generative Adversarial Network and Validation Using Nonintuitive Topological Characteristics

Advanced 3D Microstructure Generation of Solid Oxide Cell Electrodes Using Conditional Generative Adversarial Network and Validation Using Nonintuitive Topological Characteristics

Experimental and molecular dynamics study on the reaction characteristics of methane-ammonia mixed fuel on SOFC anodes

Unveiling the impact of four-phonon scattering on thermal transport properties of the bulk β-Ga2O3 and monolayer Ga2O3

The role of the drying process and the Pt/C structure on the ionomer morphology of the catalyst layer

Applying machine learning to reveal the microscopic heat transfer mechanism of nanofluids as coolants

Electrically regulated thermal conductivity of aramid polymer systems

Diagnostic investigation of devolatilization, ignition, and flame fluctuation during laminar oxy-coal combustion

Coarse-Grained Molecular Dynamics Simulation on the Impact of the Primary Pores on the Distribution and Morphology of Ionomers within Catalyst Layers during the Drying Process

Coarse-Grained Molecular Dynamics Simulation of Ionomer-Mediated Carbon Cluster Bonding in Polymer Electrolyte Fuel Cell Catalyst Layers

Deep Learning to Reveal the Distribution and Diffusion of Water Molecules in Fuel Cell Catalyst Layers

Prediction of water transport properties on an anisotropic wetting surface via deep learning

Deep learning, numerical, and experimental methods to reveal hydrodynamics performance and cavitation development in centrifugal pump

Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology

A feasibility study of multi-mode intelligent fusion medical data transmission technology of industrial Internet of Things combined with medical Internet of Things

Modeling Optimal Energy Exchange Operation of Microgrids Considering Renewable Energy Resources, Risk-based Strategies, and Reliability Aspect Using Multi-objective Adolescent Identity Search Algorithm

Analysis of structural and water diffusional properties of ionomer thin film by coarse-grained molecular dynamics simulation

(Digital Presentation) A Coarse-Grained Molecular Dynamics Study on the Aggregation and Adsorption Behavior of Ionomer from Solution Onto Pt/C Substrate

Tracing the composition and structure evolution of oxygen-enriched asphaltenes during the hydrotreating of middle-low temperature coal tar

Exploration of coal tar asphaltene molecules based on high resolution mass spectrometry and advanced extraction separation method

Insight into asphaltene transformation during coal tar hydrotreatment by conventional analysis and high-resolution Fourier transform mass spectrometry coupled with collision-induced dissociation technology

Collaborators (2)

Takuya Mabuchi

Gaoyang Li

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