Yin Kan Phua

Profile Information

Affiliation: Doctoral Student, Graduate School of Engineering Department of Applied Chemistry, Kyushu University

ORCID ID: https://orcid.org/0000-0002-9668-9775
J-GLOBAL ID: 202201006403075859
researchmap Member ID: R000039789

External link: https://sites.google.com/view/fujigaya-lab-en

Education

Oct, 2022 - Present

Department of Applied Chemistry, Graduate School of Engineering, Kyushu University
Oct, 2020 - Sep, 2022

Department of Chemistry and Biochemistry, Graduate School of Engineering, Kyushu University
Oct, 2016 - Sep, 2020

Department of Materials Science and Engineering, School of Engineering, Kyushu University

Awards

Mar, 2024

ACS Young Scientist Poster Award, Establishment of Academic Paper Data-driven Functional Polymer Informatics and Application in CO2 Separation Membrane, MEXT Program “Data Creation and Utilization-Type Material Research and Development Project"

Yin Kan Phua
Jan, 2024

Poster Award, Development of a Chemically Explainable Machine Learning Model that Allows Membrane Materials Exploration for Anion Exchange Membrane Fuel Cell, Kyushu University Platform of Inter-/Transdisciplinary Energy Research

Yin Kan Phua
Aug, 2023

IPC2023 Young Scientist Poster Award, Explainable Machine Learning Protocol for Predicting Ionic Conductivity of Anion Exchange Membranes used in Fuel Cells, The Society of Polymer Science

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato
Aug, 2022

ICYRAM2022 Student Presentation Awards, Dominant Control Factor Determination using Machine Learning for Anion Conductivity of Anion Exchange Membrane (AEM) in AEM Fuel Cell, The 5th International Union of Materials Research Societies International Conference of Young Researchers on Advanced Materials (IUMRS-ICYRAM 2022)

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato
Jul, 2021

Excellent Research Presentation Award, Effect of carbon nanotube-based Catalyst Layer surface roughness on the power density of polymer electrolyte membrane fuel cell, Kyushu Branch of the Electrochemical Society of Japan

Yin Kan Phua, Tsuyohiko Fujigaya

Papers

Nuclear Magnetic Resonance Chemical Shift As Highly Explainable Chemical Structure Fingerprints for Anion Exchange Membrane Polymers

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

ECS Meeting Abstracts, Dec 22, 2023 Peer-reviewedLead author
Predicting the anion conductivities and alkaline stabilities of anion conducting membrane polymeric materials: development of explainable machine learning models

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

Science and Technology of Advanced Materials, 24(1) 2261833, Oct 16, 2023 Peer-reviewedLead author
Effect of alcohol content on the ionomer adsorption of polymer electrolyte membrane fuel cell catalysts

Dan Wu, Nana Kayo, Samindi Madhubha Jayawickrama, Yin Kan Phua, Naoki Tanaka, Tsuyohiko Fujigaya

International Journal of Hydrogen Energy, 48(15) 5915-5928, Feb 19, 2023 Peer-reviewed
Effect of carbon nanotube-based catalyst layer surface roughness on polymer electrolyte membrane fuel cell performance

Yin Kan Phua, Don Terrence Dhammika Weerathunga, Dan Wu, Chaerin Kim, Samindi Madhubha Jayawickrama, Naoki Tanaka, Tsuyohiko Fujigaya

Sustainable Energy & Fuels, 6 4636-4644, Sep 6, 2022 Peer-reviewedLead author
Ionomer-free electrocatalyst using acid-grafted carbon black as a proton-conductive support

Ryo Yoshihara, Dan Wu, Yin Kan Phua, Akiyo Nagashima, Euiji Choi, Samindi Madhubha Jayawickrama, Shota Ishikawa, Xuanchen Liu, Gen Inoue, Tsuyohiko Fujigaya

Journal of Power Sources, 529, May, 2022 Peer-reviewed
Effect of Polytetrafluoroethylene Particles in Cathode Catalyst Layer Based on Carbon Nanotube for Polymer Electrolyte Membrane Fuel Cells

Don Terrence Dhammika Weerathunga, Samindi Madhubha Jayawickrama, Yin Kan Phua, Kazutaka Nobori, Tsuyohiko Fujigaya

Bulletin of the Chemical Society of Japan, 92(12) 2038-2042, Dec, 2019 Peer-reviewed

Presentations

Establishment of Academic Paper Data-driven Functional Polymer Informatics and Application in CO2 Separation Membrane

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

Progress Report Meeting: MEXT Program “Data Creation and Utilization-Type Material Research and Development Project", Mar 4, 2024
Development of a Chemically Explainable Machine Learning Model that Allows Membrane Materials Exploration for Anion Exchange Membrane Fuel Cell

Yin Kan Phua

Kyushu University Energy Week 2024, Jan 29, 2024
Unsupervised machine learning method for virtual screening of anion exchange membrane (AEM) polymers

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

The 33rd Annual Meeting of MRS-Japan 2021, Nov 15, 2023
Nuclear Magnetic Resonance Chemical Shift As Highly Explainable Chemical Structure Fingerprints for Anion Exchange Membrane Polymers

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

244th ECS Meeting, Oct 10, 2023
Distribution analysis of chemical space for known anion exchange membrane polymers

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

ACS Fall 2023, Aug 14, 2023
Toward Functional Polymer Informatics via Coarse-Grained Simulation and Data Science

Koichiro Kato, Yukito Higashi, Yin Kan Phua, Tsuyohiko Fujigaya

13th SPSJ International Polymer Conference, Jul 21, 2023 Invited
Explainable Machine Learning Protocol for Predicting Ionic Conductivity of Anion Exchange Membranes used in Fuel Cells

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

13th SPSJ International Polymer Conference, Jul 19, 2023
An explainable machine learning model to predict anion conductivity for accelerating anion exchange membrane research and development

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

16th International conference on materials chemistry (MC16), Jul 3, 2023
化学構造解析法に基づく記述子を用いた機械学習による燃料電池用高分子のイオン伝導度予測

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

83rd Symposium on Analytical Chemistry, May 20, 2023
Machine learning for anion-exchange membrane used by fuel cells to determine the dominant factor controlling anion conductivity

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

The 2022 MRS Fall Meeting, Dec 6, 2022
Prediction and Dominant Control Factor Exploration via Explainable Machine Learning Model in Anion Conductivity for Anion Exchange Membrane (AEM) of AEM Fuel Cells

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

The 32nd Annual Meeting of MRS-Japan 2021, Dec 6, 2022
Developing an Interpretable Machine Learning Model for Anion Conductivity Prediction of Anion Exchange Membranes Used in Fuel Cells

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

The 3rd Kyushu-Mainz Chemistry Symposium, Dec 1, 2022
Development of Machine Learning Models for Dominant Control Factor Determination Targeting Anion Exchange Membrane used in Anion Exchange Membrane Fuel Cell

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

The 9th International Fuel Cell Workshop 2022 (IFCW2022), Nov 16, 2022
Explainable Machine Learning Model for Predicting Anion Conductivity of Anion Exchange Membrane (AEM) Used in AEM Fuel Cells

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

71st Symposium on Macromolecules, Sep 6, 2022
Dominant Control Factor Determination using Machine Learning for Anion Conductivity of Anion Exchange Membrane (AEM) in AEM Fuel Cell

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

The 5th International Union of Materials Research Societies International Conference of Young Researchers on Advanced Materials (IUMRS-ICYRAM 2022), Aug 6, 2022
Anion conductivity prediction for Anion Exchange Membrane (AEM) used in AEM fuel cells using machine learning

Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

59th Kyushu Area Joint Meeting of the Chemistry-Related Societies, Jul 2, 2022
Effect of carbon nanotube-based catalyst layer surface characteristics to the power density of PEMFC

Yin Kan Phua, Tsuyohiko Fujigaya

The International Chemical Congress of Pacific Basin Societies 2021, Dec 19, 2021
Effect of smoothness of carbon nanotube-based catalyst layer for polymer electrolyte membrane fuel cell performance

Yin Kan Phua, Tsuyohiko Fujigaya

The 31st Annual Meeting of MRS-Japan 2021, Dec 14, 2021
Effect of carbon nanotube-based Catalyst Layer surface roughness on the power density of polymer electrolyte membrane fuel cell

Yin Kan Phua, Tsuyohiko Fujigaya

58th Kyushu Area Joint Meeting of the Chemistry-Related Societies, Jul 3, 2021

Professional Memberships

Jan, 2024 - Present

The Japan Society of Applied Physics
Jan, 2023 - Present

The Japan Society for Analytical Chemistry
Jun, 2021 - Present

The Society of Polymer Science, Japan

Research Projects

Creation of AI-driven Functional Polymer Informatics

ACT-X, AI powered Research Innovation / Creation, Japan Science and Technology Agency, Oct, 2022 - Mar, 2025

Yin Kan Phua

Profile Information

Education

Awards

Papers

Presentations

Professional Memberships

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